System

Abstract

A system is provided.SOLUTION: A system comprising: means for a user to input specific scenario, character, and dialogue information using a device; means for transmitting the input information to a server; means for generating a script based on the received information using a text generation engine; means for creating computer graphics animations based on the generated script using a video generation engine; means for combining the created animations to generate a final animation file; and means for providing the generated animation file to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] There are only a limited number of services that allow individual users to easily create original short videos. Furthermore, many users lack the knowledge and skills required for video production, making it difficult to easily create high-quality videos. Furthermore, outsourcing to a professional video production service is expensive. In response to these challenges, there is a need for a system that allows anyone to create unique videos at low cost and share them on social media. [Means for solving the problem]

[0005] The system of this invention includes a means for users to input specific scenario, character, and dialogue information using a device, and then transmits the input information to a server. The server generates a script using a text generation engine based on the received information, and then creates computer graphics animation based on the script using a video generation engine. The server then combines the created animations to generate a final video file, which is then provided to the user. This allows users to easily create original short videos and enjoy unique video content at low cost.

[0006] "User" refers to any individual or organization that intends to use the system to create original videos.

[0007] "Device" means an electronic device used by a user to input scenario, character, and dialogue information, and examples include smartphones, tablets, and computers.

[0008] A "scenario" refers to the specific situations, scenes, and information that form the framework of the story depicted in the video.

[0009] "Character" refers to any person, animal, or other character appearing in a Video.

[0010] "Lines" refers to the words or lines spoken by a character in a video.

[0011] "Means" refers to the methods or processes used to achieve a particular goal.

[0012] "Server" refers to a computer system that receives and processes information entered by a user.

[0013] "Text generation engine" refers to an algorithm or program that automatically generates a script based on scenario, character, and dialogue information entered by the user.

[0014] A "script" is a document that describes in detail the content of a video, including scenes, character actions, lines, etc.

[0015] "Video generation engine" refers to an algorithm or program that automatically creates computer graphics animation based on a generated script.

[0016] "Computer graphics animation" refers to digital images generated using a computer, including character and background animation.

[0017] "Video file" refers to a digital file format for continuous playback of generated animation.

[0018] "Means of providing" refers to the procedure by which the server transmits the generated final video file to the user in a downloadable format. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0020] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0021] First, the terms used in the following description will be explained.

[0022] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0023] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0024] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0025] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0030] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0031] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0032] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0033] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0034] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0037] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0039] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0040] The system of this invention is designed to realize a series of processes in which a user inputs specific scenario, character, and dialogue information and generates an original short video based on that information. The following describes in detail an embodiment of this system.

[0041] 1. User Input Processing

[0042] A user opens a dedicated web interface or mobile app on a device (e.g., a smartphone or computer). The interface displays input fields for the scenario, characters, dialogue, etc. The user fills in the information in each field based on the story they envision, and when they are done, they press the "Submit" button. This operation generates the input information as structured data (e.g., in JSON format).

[0043] 2. Transmission of information

[0044] The device securely sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received data and checks whether there are any omissions or errors in the input data. If there are any errors, it returns an error message to the device and prompts the user to correct them. If there are no errors, it proceeds to the next process.

[0045] 3. Script generation using text generation AI

[0046] The server sends error-free input data to a text generation engine (for example, various generative AI technologies). The text generation engine analyzes the received data and generates an original script based on the scenario, characters, lines, etc. The generated script is a sentence that describes in detail the progression of the story, the actions of the characters, the lines, etc. For example, in a family picnic scenario, detailed scenes such as "Dad plays badminton, Mom spreads out her lunch, and the child says, 'This is fun!'" are generated. The server receives this generated script and proceeds to the next step.

[0047] 4. Launching the CG animation generation AI

[0048] The server then sends the generated script to a video generation engine (e.g., various CG animation generation technologies). The video generation engine generates the movements of the characters and background scenes based on the contents of the script. This includes modeling the character's movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[0049] 5. Generate video files

[0050] The server combines the received CG animations to generate the final video file. This process involves placing each animation frame on the appropriate timeline and adding audio and sound effects. The resulting video file is encoded in a common format (e.g., MP4). For example, a picnic scene video might include scenes of dad playing badminton, mom opening her lunch, and the child saying, "This is fun!"

[0051] 6. Providing videos to users

[0052] The server sends the completed video file to the device and generates a download link. Users can use the link to download and save their original video. Users can also watch the generated video and share it on social media.

[0053] In this way, a specific form of system can be implemented that links a text generation engine and a video generation engine based on information such as the scenario, characters, and lines entered by the user, and ultimately generates and provides an original short video.

[0054] The processing flow will be explained below.

[0055] Step 1:

[0056] The user opens a dedicated web interface or mobile app on their device. The interface displays input fields for the scenario, characters, lines, etc. The user enters the required information in those fields and presses the "Submit" button.

[0057] Step 2:

[0058] The device generates user input as structured data, such as JSON, and sends the data to the server using the HTTPS protocol.

[0059] Step 3:

[0060] The server parses the received JSON data and checks whether there are any omissions or errors in the input data. If there are any omissions or errors, the server returns an error message to the terminal and prompts the user to correct them.

[0061] Step 4:

[0062] The server sends error-free input data to the text generation engine, which automatically generates an original script based on the scenario, characters, and dialogue information. The generated script is then sent back to the server.

[0063] Step 5:

[0064] The server sends the generated script to the video generation engine, which automatically generates animations for character movements and backgrounds based on the script, and sends the generated CG animations back to the server.

[0065] Step 6:

[0066] The server synthesizes the received CG animation data to generate the final video file, and encodes the video file into the appropriate format (e.g. MP4).

[0067] Step 7:

[0068] The server sends the generated video file to the user's device and generates a download link, which the user can click to download and watch the original video.

[0069] Step 8:

[0070] Users can share the videos they create on social media, allowing individual users to easily create and enjoy original short videos at low cost.

[0071] Example 1

[0072] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0073] Today, there is a demand for systems that allow users to easily create original short videos. However, conventional methods require a great deal of time and effort for video production, and the quality of the generated content is inconsistent. Furthermore, there is also the issue that the scenario and character information entered by the user are not accurately reflected, resulting in the expected results. To solve these issues, a system is needed that can automatically generate high-quality scripts based on user input and then create highly accurate CG animations based on them.

[0074] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0075] In this invention, the server includes: means for a user to input specific scenario, character, and dialogue information using a device; means for converting the input information into structured data; means for securely transmitting the structured data to the server using the HTTPS protocol; means for checking whether the received information is missing or has errors; means for generating an original script using a generative AI model based on the received information; means for creating animation using a computer graphics engine based on the generated script; means for combining the animation to generate a final video file; means for encoding the generated video file in a common format; and means for providing the generated video file to the user. This allows users to easily generate high-quality original short videos and obtain the content they expect.

[0076] "User" refers to the entity that uses the system to input specific scenario, character, and dialogue information.

[0077] A "device" is any device a user uses to enter information, including a smartphone or computer.

[0078] A "scenario" is a detailed plan or plot that outlines the development and setting of a story.

[0079] A "character" is a character or entity that has a specific role within a story.

[0080] "Dialogue" refers to the words spoken by characters within a story.

[0081] "Structured data" refers to data that is organized in a specific format (e.g., JSON format).

[0082] "HTTPS protocol" refers to a protocol for securely transmitting data.

[0083] "Server" refers to a computer system for analyzing and processing information received from users.

[0084] "Generative AI model" refers to algorithms or software that use artificial intelligence to generate text or data.

[0085] A "script" refers to a detailed piece of writing created based on the generated scenario, characters, and dialogue.

[0086] A "computer graphics engine" refers to software that generates animation and video based on a script.

[0087] "Animation" refers to a video format that expresses movement by displaying a series of images.

[0088] A "video file" refers to an animation generated by a computer graphics engine compiled into a single file format (e.g., MP4 format).

[0089] "Encoding" refers to the process of converting data into a particular format.

[0090] The system of this invention realizes a series of processes that allow a user to input specific scenario, character, and dialogue information and generate an original short video based on that information. The following describes in detail an embodiment of this system.

[0091] Hardware and Software Configuration

[0092] The system begins when a user opens a web interface or mobile app on a device (e.g., a smartphone or computer), and the server side of the system is built using a server-side language such as Python or Node.js.

[0093] Device: Users use a smartphone or computer to access a dedicated web interface or mobile app.

[0094] Web interface: The web page or app screen displayed on a device, created using HTML, CSS, and JavaScript.

[0095] Server: A cloud server or dedicated server is used to receive and process requests from users.

[0096] Structured data: The scenario, character, and dialogue information entered by the user is sent to the server in JSON format.

[0097] Generative AI models, such as OpenAI's GPT-4, are used to generate scripts.

[0098] Computer graphics engine: For example, Blender or Unity is used to generate CG animation.

[0099] HTTPS protocol: A protocol for securely transmitting user data to a server.

[0100] Program processing description

[0101] User Input Processing

[0102] Users open the device's web interface or mobile app and fill in the fields for the scenario, characters, and dialogue. For example, if a user wants to create a "family picnic scenario," they would enter the following information:

[0103] Scenario: On a warm spring day, a family has a picnic.

[0104] Characters: Dad, Mom, and Kids

[0105] Dialogue: Kid: "This is fun!", Dad: "Let's play some more!", Mom: "I'll open my lunch box."

[0106] By pressing the submit button, the information is generated as structured data.

[0107] Sending information

[0108] The device sends the generated structured data to the server via the HTTPS protocol. The server parses the received data and checks whether there are any errors in the input data. If there are any errors, it returns an error message to the device and prompts the user to correct them. If there are no errors, it proceeds to the next step.

[0109] Script generation using text generation AI

[0110] The server sends error-free input data to the generative AI model, which analyzes the received data and generates an original script based on the scenario, characters, and dialogue information. For example, the script might include detailed scenes such as "Dad plays badminton, Mom unpacks her lunch, and the child says, 'This is fun!'"

[0111] CG animation generation

[0112] The server sends the generated script to a computer graphics engine, which models and renders the character movements and background scenes. This process generates animation for each scene and sends the data back to the server.

[0113] Generating a video file

[0114] The server combines the received CG animations to generate the final video file. Each animation frame is placed on the appropriate timeline, and audio and sound effects are added. The resulting video file is encoded in a common format, such as MP4.

[0115] Provision to users

[0116] The server sends the completed video file to the device and generates a download link, which the user can use to download and save the original video. The generated video can also be viewed or shared on social media.

[0117] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0118] Step 1:

[0119] The user uses the device to input specific scenario, character, and dialogue information. The user accesses a web interface or mobile app on their smartphone or computer and inputs the following information:

[0120] input:

[0121] Scenario: "A family is having a picnic on a warm spring day."

[0122] Characters: "Dad, Mom, Kids"

[0123] Dialogue: "Kid: 'This is fun!' Dad: 'Let's play some more!' Mom: 'I'll pack my lunch.'"

[0124] output:

[0125] Structured data (JSON format)

[0126] Specific behavior:

[0127] The user opens a dedicated input form in a web browser.

[0128] The user enters information into each input field and presses the "Submit" button.

[0129] This generates the entered information as structured data in JSON format.

[0130] Step 2:

[0131] The terminal transmits the generated structured data to the server using the HTTPS protocol.

[0132] input:

[0133] Structured data (JSON format)

[0134] output:

[0135] Sending data to the server

[0136] Specific behavior:

[0137] The terminal receives the JSON data generated by clicking the "Send" button.

[0138] The terminal uses the HTTPS protocol to send JSON data to the server.

[0139] Step 3:

[0140] The server analyzes the structured data it receives and checks whether there are any omissions or errors in the input data. If there are any errors, it returns an error message to the terminal and prompts the user to correct them.

[0141] input:

[0142] Structured data (JSON format)

[0143] output:

[0144] Error messages or data for further processing

[0145] Specific behavior:

[0146] The server parses the received JSON data and validates the data in each input field.

[0147] If there is a shortage or error as a result of the error check, an error message is sent to the terminal.

[0148] The user is shown the error and prompted to correct it.

[0149] Step 4:

[0150] The server generates an original script using a generative AI model based on error-free input data.

[0151] input:

[0152] Error-checked structured data (JSON format)

[0153] output:

[0154] Generated script (text format)

[0155] Specific behavior:

[0156] The server sends the error-checked JSON data to the generative AI model.

[0157] The generative AI model analyzes scenario, character, and dialogue information to generate a script.

[0158] The generated script is sent back to the server.

[0159] Step 5:

[0160] The server creates animation using a computer graphics engine based on the generated script.

[0161] input:

[0162] Generated script (text format)

[0163] output:

[0164] CG animation data

[0165] Specific behavior:

[0166] The server sends the generated script to a computer graphics engine.

[0167] The engine models and renders character movements and background scenes.

[0168] Animation is created for each scene and sent back to the server as CG animation data.

[0169] Step 6:

[0170] The server combines the received CG animations to generate the final video file.

[0171] input:

[0172] CG animation data

[0173] output:

[0174] Final video file (e.g. MP4 format)

[0175] Specific behavior:

[0176] The server analyzes the received CG animation data and places it on the timeline.

[0177] Add audio files and sound effects to the timeline and compile your video.

[0178] Encode the final video file in MP4 format or similar.

[0179] Step 7:

[0180] The server sends the completed video file to the device and generates a download link.

[0181] input:

[0182] Final video file (e.g. MP4 format)

[0183] output:

[0184] Download link

[0185] Specific behavior:

[0186] The server uploads the video file to cloud storage or the like and generates a link.

[0187] The generated download link is sent to the device.

[0188] The user uses the link to download and save the video file.

[0189] This allows users to easily create, watch, and share high-quality original videos based on their own creations.

[0190] (Application example 1)

[0191] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0192] There is a growing demand for users to easily create original short videos and view and share them on social media and content distribution services, but conventional technologies require specialized knowledge and tools, making them difficult for average users to use. Therefore, there is a need for a system that allows users to simply input scenario, character, and dialogue information, automatically generate high-quality original videos, and share them.

[0193] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0194] In this invention, the server includes means for a user to input specific scenario, character, and dialogue information using a device, means for transmitting the input information to the server, means for generating a script using a text generation engine based on the received information, means for creating computer graphics animation using a video generation engine based on the generated script, means for combining the created animations to generate a final video file, means for providing the generated video file to the user, and means for generating and providing a download link for the generated video file to the user. This enables users to easily create original short videos and share them on social media or content distribution services.

[0195] A "scenario" is information that shows the outline and progression of a story or a story.

[0196] A "character" is a person or animal that appears in a story and plays a role.

[0197] "Dialogue" refers to the words and expressions spoken by a character.

[0198] A "device" is an electronic device that a user uses to input information, including a smartphone, computer, etc.

[0199] A "server" is a computer system that receives and processes information sent by users.

[0200] A "text generation engine" is software or algorithms that generate sentences or scripts based on input scenario and character information.

[0201] A "video generation engine" is software or algorithms that create computer graphics animations, including character movements and background scenes, based on a generated script.

[0202] "Computer graphics animation" refers to video that includes computer-generated character and background movements.

[0203] "Video File" means a completed animation in a single file format, encoded in a common format (e.g. MP4).

[0204] "Download link" means a link that allows a user to download the generated video file via the Internet.

[0205] The system that realizes this application example allows users to input specific scenario, character, and dialogue information using a device, and then generates an original short video based on that information. Specifically, the system operates in the following steps:

[0206] First, a user opens a dedicated web interface or mobile app using a device such as a smartphone or computer. This interface displays input fields for the scenario, characters, dialogue, etc. The user fills in each field based on the story they envision, and when they are done, they press the "Submit" button. This action generates the input information as structured data (for example, in JSON format) and sends it to the server.

[0207] The server analyzes the received structured data using the HTTPS protocol and checks for omissions or errors. If an error is found, it returns an error message to the device and prompts the user to correct it. If no errors are found, it proceeds to the next step.

[0208] The server sends the received data to a text generation engine (e.g., OpenAI GPT-3), which generates an original script based on the scenario, characters, dialogue, etc. This text generation engine uses a generative AI model to create a detailed story and dialogue. For example, a family picnic scenario might include content such as "Dad plays badminton, Mom spreads out her lunch, and the child says, 'This is fun!'"

[0209] The generated script is received by the server and then sent to an image generation engine (e.g., Renderforest, Blender API). This image generation engine generates the movements of the characters and background scenes based on the contents of the generated script. This process includes modeling the character movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[0210] The server combines the received CG animations to generate the final video file. At this stage, each animation frame is placed on the appropriate timeline, and audio and sound effects can also be added. The generated video file is encoded in a common format (e.g., MP4). A download link is generated for the completed video file so that users can download it. Users can use the link to download, save, and watch their original video.

[0211] Examples of concrete examples and prompts

[0212] Let's say a user wants to create a Christmas story. Here's the data they input:

[0213] Scenario: "A family gathering on Christmas Eve"

[0214] Characters: "Dad, Mom, Kids"

[0215] Quotes: "Dad: 'Merry Christmas!', Mom: 'I'm ready', Kid: 'I wonder if Santa's coming?'"

[0216] An example prompt is:

[0217] Scenario: Family gathering on Christmas Eve

[0218] Characters: Dad, Mom, Child

[0219] Quotes:

[0220] Dad: Merry Christmas!

[0221] Mom: I'm ready

[0222] Child: Will Santa come?

[0223] Based on these prompts, the AI ​​will create a script and the CG animation engine will draw the scenes, completing a user-original Christmas short video. This video can also be shared on social media or content distribution services.

[0224] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0225] Step 1:

[0226] A user opens a dedicated web interface or mobile app on their device. They enter information about the scenario, characters, and lines into the input fields and press the "Submit" button. This action generates the entered information as structured data (e.g., JSON format) and sends it to the server as input data.

[0227] Step 2:

[0228] The terminal uses the HTTPS protocol to send the generated structured data to the server. The server analyzes the received data and checks for omissions or errors. If an error is found, an error message is returned to the terminal, prompting the user to correct it. The input data includes scenario, character, and dialogue information. If the analysis finds no errors, the process proceeds to the next step.

[0229] Step 3:

[0230] The server sends the input data to a text generation engine (e.g., OpenAI GPT-3). The text generation engine analyzes the input data and generates an original script based on the scenario, characters, and dialogue information. The generated script is a detailed description of the story progression, character actions, dialogue, etc. The generated script is then sent back to the server.

[0231] Step 4:

[0232] The server receives the generated script and sends it to a video generation engine (e.g., Renderforest, Blender API). The video generation engine generates the movements of the characters and background scenes based on the contents of the generated script. This process includes modeling the character movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[0233] Step 5:

[0234] The server combines the received CG animations to generate the final video file. At this stage, each animation frame is placed on the appropriate timeline, and audio and sound effects are added. The resulting video file is encoded in a common format (e.g., MP4). The finished video file is then stored on the server.

[0235] Step 6:

[0236] The server generates a download link for the generated video file and provides it to the user. The user can use the link to download, save, and watch their original video. In addition, the user can share the generated video on social media or content distribution services.

[0237] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0238] The system of this invention combines an emotion engine with a process for generating original short videos based on scenario, character, and dialogue information entered by the user. The following describes in detail the mode for implementing this system.

[0239] 1. User Input Processing

[0240] A user opens a dedicated web interface or mobile app on a device (e.g., a smartphone or computer). The interface displays input fields related to the scenario, characters, lines, and emotions. The user fills in these fields and presses the "Submit" button. This action generates the input information as structured data (e.g., JSON format).

[0241] 2. Transmission of information

[0242] The device sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received information and checks the input data for errors. If there are any omissions or errors, the server returns an error message to the device and prompts the user to correct them.

[0243] 3. Emotion analysis

[0244] The server first sends error-free input data to the emotion engine, which then analyzes the user's input data (e.g., words in the text, input emotion tags, etc.) to identify the user's emotional state. Based on this, the analysis results are sent to the text generation engine as reference information for script generation.

[0245] 4. Script Generation Using Text Generation AI

[0246] The server sends the emotion analysis results received from the emotion engine to the text generation engine. The text generation engine generates an original script based on the received scenario, character, dialogue information, and emotion data. The generated script is a document that describes in detail the progression of the scenario, character actions, dialogue, etc. For example, if the input data includes the emotion "fun," the script will contain many cheerful scenes and lines.

[0247] 5. Launching the CG animation generation AI

[0248] The server sends the generated script to the video generation engine. The video generation engine generates animation for the character movements and background based on the script, and sends the generated CG animation back to the server. Because the analysis results of the emotion engine are incorporated, the character's facial expressions and movements also change according to the analysis results. For example, if the emotion is "happy," the character will smile more.

[0249] 6. Generating video files

[0250] The server composites the received CG animations to generate the final video file. This process includes placing each animation frame on a timeline, adding sound effects, and encoding it in the appropriate format (e.g., MP4). The video includes direction based on the results of sentiment analysis.

[0251] 7. Providing videos to users

[0252] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download and save the original video. The generated video can also be shared on social media.

[0253] This system allows users to easily create original short videos that reflect their emotions, allowing them to enjoy unique and engaging content at low cost.

[0254] The processing flow will be explained below.

[0255] Step 1:

[0256] The user opens a dedicated web interface or mobile app on their device. The interface displays input fields related to the scenario, characters, lines, and emotions. The user fills in these fields and presses the "Submit" button.

[0257] Step 2:

[0258] The device generates structured data such as JSON based on the user's input, and sends the data to the server using the HTTPS protocol.

[0259] Step 3:

[0260] The server analyzes the received structured data and checks whether there are any omissions or errors in the input data. If there are any omissions or errors, the server returns an error message to the terminal and prompts the user to correct them.

[0261] Step 4:

[0262] The server sends error-free input data to the emotion engine, which analyzes the data and identifies the user's emotion from the input. For example, if the text contains keywords such as "happy" or "fun," the emotion analysis result will be determined to be "positive."

[0263] Step 5:

[0264] The server receives the analysis results from the emotion engine and sends them to the text generation engine, which then automatically generates an original script based on the scenario, characters, dialogue information, and emotion analysis results. For example, based on the emotion "fun," it generates a script containing cheerful scenes and positive dialogue.

[0265] Step 6:

[0266] The server sends the generated script to the video generation engine. The video generation engine generates animations for character movements and backgrounds based on the script, and reflects the results of emotion analysis. For example, if the emotion is "happy," the character's expression will be a smile. The generated CG animation is then sent back to the server.

[0267] Step 7:

[0268] The server synthesizes the received CG animation data to generate the final video file. This process also includes arranging each animation frame and adding audio and sound effects. The resulting video file is then encoded in the appropriate format (e.g., MP4).

[0269] Step 8:

[0270] The server sends the completed video file to the device and generates a download link for the user. The user can click this link to download and watch the original video. In addition, the user can share the generated video on social media.

[0271] Example 2

[0272] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0273] Conventional short video generation systems simply reflect the scenario and character information entered by the user, and have the problem of not being able to generate videos that fully consider the viewer's emotions. Furthermore, because the visual and audio effects are not linked to emotions, it is difficult to make an emotional impact on the viewer. This makes it difficult for users to create unique and appealing content at low cost.

[0274] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0275] In this invention, the server includes: means for a user to input information related to a specific scenario, characters, dialogue information, and emotions using a device; means for generating the input information as structured data using a terminal and sending it to the server; means for performing error checks on the received information and, if no errors are found, sending the data to an emotion engine; means for the emotion engine to analyze the emotional state and for a text generation engine to generate a script based on the results; means for creating computer graphics animation using a video generation engine based on the generated script; means for synthesizing the created animations and encoding them as a final video file; and means for providing the generated video file to the user. This makes it possible to easily generate original short videos that reflect the emotions input by the user and appeal to the viewers' emotions.

[0276] "User" refers to an individual or organization that uses the system to input scenarios, characters, dialogue information, and emotional information.

[0277] "Device" means a device through which a User accesses and inputs information into the System, including hardware such as a smartphone, computer, or tablet.

[0278] "Scenario" refers to the text information that makes up the content and storyline of a video. The scenario entered by the user determines the overall theme and flow of the video.

[0279] "Characters" refers to the characters depicted in the scenario, including their names, personalities, roles, etc.

[0280] "Dialogue information" refers to the words and dialogue spoken by characters within a scenario.

[0281] "Emotional information" refers to the emotional state related to the scenario and the actions of the characters. Emotional information affects the direction of the video and the facial expressions of the characters.

[0282] A "terminal" is a device used by a user that generates information as structured data and sends it to a server.

[0283] "Structured data" refers to information entered by a user that has been converted into a specific format (e.g., JSON) that can be processed efficiently within a system.

[0284] "Server" refers to the computer system that receives and processes data sent by users, including error checking, sentiment analysis, script generation, and animation creation.

[0285] An "emotion engine" is software that analyzes emotional states based on input data and is responsible for generating emotion analysis results.

[0286] "Text generation engine" refers to software that generates original scripts based on the results of sentiment analysis.

[0287] A "video generation engine" refers to software that creates animations of character movements and backgrounds based on a generated script.

[0288] "Computer graphics animation" refers to the animation of character movements and backgrounds generated by an image generation engine.

[0289] "Final video file" refers to the completed video created by combining multiple animation scenes and adding sound effects, etc.

[0290] "Audio effects" refers to the audio and sound effects used in the video, including character dialogue and background sounds.

[0291] "Encoding" refers to the process of converting the generated video file into the optimal format (e.g. MP4).

[0292] "Providing" means making the generated video file available for download to users.

[0293] The system of the present invention allows users to easily create original short videos that reflect their emotions. A specific embodiment of this system will be described in detail below.

[0294] 1. User Input Processing

[0295] A user uses a device (e.g., a smartphone or computer) to open a web interface or mobile app to access the system. This interface displays input fields related to the scenario, characters, dialogue, and emotions. The user enters the required information into these fields and presses the "Submit" button. The input information is then generated as structured data.

[0296] example:

[0297] Scenario: Fun Adventure

[0298] Characters: Alice, Bob

[0299] Quote: Hello! What a great day today!

[0300] Emotion: Happy

[0301] 2. Transmission of information

[0302] The device sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received information and checks the input data for errors. If there are any omissions or errors, the server returns an error message to the device and prompts the user to correct them.

[0303] 3. Emotion analysis

[0304] The server sends the data that passes the error check to the emotion engine, which analyzes the user's input data (e.g., words in the text, entered emotion tags, etc.) and identifies the user's emotional state. Based on this, it sends the analysis results back to the server.

[0305] 4. Script Generation Using Text Generation AI

[0306] The server sends the emotion analysis results to a text generation engine, which generates an original script based on the received scenario, characters, dialogue information, and emotion data. The generated script is a document that describes in detail the progression of the scenario, character actions, dialogue, etc.

[0307] 5. Launching the CG animation generation AI

[0308] The server sends the generated script to the video generation engine. The video generation engine generates animation for the character movements and background based on the script, and sends the generated CG animation back to the server. Because the analysis results of the emotion engine are incorporated, the character's facial expressions and movements also change according to the analysis results.

[0309] 6. Generating video files

[0310] The server composites the received CG animations to generate the final video file, including placing each animation frame on a timeline and adding sound effects, and encoding it in the appropriate format (e.g. MP4).

[0311] 7. Providing videos to users

[0312] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download and save the original video. The generated video can also be shared on social media.

[0313] The system allows users to easily generate visually and emotionally compelling short videos at low cost using robust technology.

[0314] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0315] Step 1:

[0316] The user opens a dedicated web interface or mobile app using a device (e.g., a smartphone or computer). The user enters the scenario, characters, dialogue information, and emotion information into the input fields of the interface and presses the "Submit" button. The input is scenario: "A fun adventure", characters: "Alice, Bob", dialogue: "Hello! It's a great day today!", emotion: "Fun". The output is converted from this input information into structured data in JSON format.

[0317] Step 2:

[0318] The terminal sends the generated structured data to the server via the HTTPS protocol. Specifically, the structured data (e.g., JSON) is sent as a POST request to the endpoint. The input is the JSON data generated in step 1, and the output is received by the server.

[0319] Step 3:

[0320] The server analyzes the received JSON data and performs error checks to ensure each item has been entered correctly. Specifically, it checks whether there are any missing fields and whether the data format is correct. The input is the JSON data sent from the terminal, and the output is that if there are no errors, it proceeds to the next processing step, and if there are errors, it generates an error message and sends it back to the terminal.

[0321] Step 4:

[0322] The server sends the error-free structured data to the emotion engine, which analyzes the text data and identifies the emotional state. Specifically, it uses natural language processing to analyze keywords in the text and identify emotions such as "fun." The input is error-free structured data, and the output is the emotion analysis results.

[0323] Step 5:

[0324] The server sends the emotion analysis results to a text generation engine. The text generation engine generates an original script based on the emotion analysis results and the scenario, characters, and dialogue information entered by the user. Specifically, it uses a generative AI model to create a script while maintaining the consistency of the story. The inputs are the emotion analysis results and the user's input data, and the generated script is returned as the output.

[0325] Step 6:

[0326] The server sends the generated script to the video generation engine, which generates animations of character movements and backgrounds based on the contents of the script. Specifically, it creates animation for each scene and reflects the results of emotion analysis in the characters' expressions and movements. The input is the generated script and the results of emotion analysis, and the output is CG animation.

[0327] Step 7:

[0328] The server composites the received CG animation to generate the final video file. Specifically, it places each animation frame on a timeline, adds audio effects, and encodes it in the appropriate format (e.g., MP4). The input is the CG animation data and the necessary audio effect files, and the output is the final video file.

[0329] Step 8:

[0330] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download the original video, save it, or share it on social media. The input is the generated video file, and the output is a download link provided to the user.

[0331] (Application example 2)

[0332] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0333] While conventional video generation systems can generate scripts and animations based on user input, it is difficult to automatically generate content that reflects the user's emotions. Furthermore, when using generated content in virtual events, it is not possible to properly reflect the character's movements, facial expressions, and audio effects according to the user's emotions. This requires users to manually edit the content to improve its quality, which takes time and effort.

[0334] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0335] In this invention, the server includes means for analyzing the emotional state using an emotion engine, means for generating a script using a text generation engine based on the emotion analysis results and input information, and means for controlling the movements and facial expressions of characters based on the generated script and the emotion analysis results. This makes it possible to automatically generate original short videos that reflect the user's emotions and use them in virtual events using smart devices.

[0336] "User" means any person or entity that uses the System.

[0337] "Device" refers to the terminal equipment through which the user makes input, including smartphones, computers, head-mounted displays, etc.

[0338] A "scenario" is the story or scene setting that serves as the basis for generating the video.

[0339] "Characters" refer to people, animals, fictional beings, etc. that appear in the video.

[0340] "Dialogue information" refers to the words and lines spoken by characters.

[0341] "Emotion-related information" refers to tags or keywords that indicate the user's emotional state.

[0342] "Structured data" refers to information entered by a user that is organized in a certain format, such as the JSON format.

[0343] A "server" is a computer system that receives structured data sent by a user and performs analysis and generation processing.

[0344] An "emotion engine" is software that analyzes emotion-related information entered by a user and identifies that user's emotional state.

[0345] "Emotion analysis results" refers to the data output as a result of analysis by the emotion engine.

[0346] A "text generation engine" is software that generates original scripts based on the results of sentiment analysis and user input data.

[0347] A "script" is a piece of text that details the progression of the scenario, the actions of the characters, the lines, etc.

[0348] A "video generation engine" is software for creating computer graphics animation based on a generated script.

[0349] "Computer graphics animation" refers to animated images generated using a computer.

[0350] A "moving image file" is a file in which the generated animation image is saved.

[0351] "Audio file" refers to audio data specified by the user.

[0352] "Sound effects" are sounds added to emphasize a character's emotion or the atmosphere of a scene.

[0353] The system of the present invention generates original short videos based on the scenario, characters, dialogue information, and emotional information entered by the user. The following describes the specific procedures and necessary hardware and software for implementing this system.

[0354] First, the user accesses the system using a device such as a smartphone or a head-mounted display (HMD). The user enters information related to the scenario, characters, lines, and emotions into a dedicated interface. For example, if a user is creating a scenario based on the theme of "a friend's birthday event" and wants to set the emotion as "fun," they would enter the following:

[0355] Scenario: A party scene celebrating a friend's birthday

[0356] Characters: Protagonist, Friend A, Friend B

[0357] Quotes: "Happy Birthday!", "Let's all have fun!"

[0358] Emotion: Happy

[0359] These inputs are then sent to a server as structured data in JSON format, where the server analyzes the data and first identifies the emotional state using an emotion engine, which can be the IBM Watson Tone Analyzer.

[0360] After obtaining the sentiment analysis results, the server uses the text generation engine GPT-4 to generate a script, which is created based on the scenario, characters, dialogue information entered by the user, and the sentiment analysis results.

[0361] The generated script is incredibly detailed, describing scene progression, character movements, lines, etc. For example, if the emotion is "happy," the character's movements and facial expressions will reflect that cheerfulness.

[0362] The server then sends the generated script to a video generation engine such as Unreal Engine to create computer graphics animation, where the character's movements and expressions are reflected based on the results of emotion analysis.

[0363] Finally, the generated animations are composited to generate the final video file. The video file is encoded in the appropriate format (e.g., MP4) and provided to the user's device as a download link. Using this link, the user can download and save the video. Additionally, the generated video can be shared on social media.

[0364] This invention allows users to easily create original, emotive short videos, adding more charm and personality to virtual events.

[0365] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0366] Step 1:

[0367] Users access the system using a device (e.g., a smartphone or a head-mounted display). They input information related to the scenario, characters, lines, and emotions into a dedicated interface. This information is entered in the form of scenario, character, line, and emotion tags. Then, when they press the "Submit" button, the input information is generated as structured data in JSON format.

[0368] Input: User-entered scenario, characters, lines, and emotional information

[0369] Output: Structured data in JSON format

[0370] Step 2:

[0371] The device sends the generated structured data in JSON format to the server using the HTTPS protocol. The server first parses the received data and checks for errors. If there are any missing or incorrect information, the server returns an error message to the device and prompts the user to correct the error.

[0372] Input: Structured data (JSON format)

[0373] Output: Check the data contents, intermediate data

[0374] Step 3:

[0375] The server sends error-free structured data to the emotion engine, which analyzes the emotional state from the input information. The emotion engine uses the IBM Watson Tone Analyzer. The analysis results in emotional tags and scores.

[0376] Input: Error-free structured data

[0377] Output: Sentiment analysis results (emotion tags and scores)

[0378] Step 4:

[0379] The server sends the emotion analysis results obtained from the emotion engine to a text generation engine (e.g., GPT-4), which generates a script based on the user's input and the emotion analysis results. The text generation engine combines the scenario, characters, dialogue, and emotion tags to generate a new script.

[0380] Input: Emotion analysis results, scenario, characters, dialogue information

[0381] Output: Generated script

[0382] Step 5:

[0383] The server then sends the generated script to a video generation engine (e.g., Unreal Engine) to create a computer graphics animation, which incorporates the results of emotion analysis and appropriately sets the character's movements and facial expressions.

[0384] Input: Generated script

[0385] Output: Computer Graphics Animation

[0386] Step 6:

[0387] The server places the generated computer graphics animation on a timeline and generates the final video file, including the placement of each animation frame and adding sound effects, which is then encoded in the appropriate format (e.g. MP4).

[0388] Input: Computer Graphics Animation

[0389] Output: Final video file

[0390] Step 7:

[0391] The server sends the final video file to the user's device and generates a download link, which the user can use to download and save the original video. The generated video can also be shared on social media.

[0392] Input: Final video file

[0393] Output: Download link, shareable video file

[0394] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0395] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0396] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0397] [Second embodiment]

[0398] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0399] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0400] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0401] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0402] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0403] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0404] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0405] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0406] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0407] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0408] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0409] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0410] The system of this invention is designed to realize a series of processes in which a user inputs specific scenario, character, and dialogue information and generates an original short video based on that information. The following describes in detail an embodiment of this system.

[0411] 1. User Input Processing

[0412] A user opens a dedicated web interface or mobile app on a device (e.g., a smartphone or computer). The interface displays input fields for the scenario, characters, dialogue, etc. The user fills in the information in each field based on the story they envision, and when they are done, they press the "Submit" button. This operation generates the input information as structured data (e.g., in JSON format).

[0413] 2. Transmission of information

[0414] The device securely sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received data and checks whether there are any omissions or errors in the input data. If there are any errors, it returns an error message to the device and prompts the user to correct them. If there are no errors, it proceeds to the next process.

[0415] 3. Script generation using text generation AI

[0416] The server sends error-free input data to a text generation engine (for example, various generative AI technologies). The text generation engine analyzes the received data and generates an original script based on the scenario, characters, lines, etc. The generated script is a sentence that describes in detail the progression of the story, the actions of the characters, the lines, etc. For example, in a family picnic scenario, detailed scenes such as "Dad plays badminton, Mom spreads out her lunch, and the child says, 'This is fun!'" are generated. The server receives this generated script and proceeds to the next step.

[0417] 4. Launching the CG animation generation AI

[0418] The server then sends the generated script to a video generation engine (e.g., various CG animation generation technologies). The video generation engine generates the movements of the characters and background scenes based on the contents of the script. This includes modeling the character's movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[0419] 5. Generate video files

[0420] The server combines the received CG animations to generate the final video file. This process involves placing each animation frame on the appropriate timeline and adding audio and sound effects. The resulting video file is encoded in a common format (e.g., MP4). For example, a picnic scene video might include scenes of dad playing badminton, mom opening her lunch, and the child saying, "This is fun!"

[0421] 6. Providing videos to users

[0422] The server sends the completed video file to the device and generates a download link. Users can use the link to download and save their original video. Users can also watch the generated video and share it on social media.

[0423] In this way, a specific form of system can be implemented that links a text generation engine and a video generation engine based on information such as the scenario, characters, and lines entered by the user, and ultimately generates and provides an original short video.

[0424] The processing flow will be explained below.

[0425] Step 1:

[0426] The user opens a dedicated web interface or mobile app on their device. The interface displays input fields for the scenario, characters, lines, etc. The user enters the required information in those fields and presses the "Submit" button.

[0427] Step 2:

[0428] The device generates user input as structured data, such as JSON, and sends the data to the server using the HTTPS protocol.

[0429] Step 3:

[0430] The server parses the received JSON data and checks whether there are any omissions or errors in the input data. If there are any omissions or errors, the server returns an error message to the terminal and prompts the user to correct them.

[0431] Step 4:

[0432] The server sends error-free input data to the text generation engine, which automatically generates an original script based on the scenario, characters, and dialogue information. The generated script is then sent back to the server.

[0433] Step 5:

[0434] The server sends the generated script to the video generation engine, which automatically generates animations for character movements and backgrounds based on the script, and sends the generated CG animations back to the server.

[0435] Step 6:

[0436] The server synthesizes the received CG animation data to generate the final video file, and encodes the video file into the appropriate format (e.g. MP4).

[0437] Step 7:

[0438] The server sends the generated video file to the user's device and generates a download link, which the user can click to download and watch the original video.

[0439] Step 8:

[0440] Users can share the videos they create on social media, allowing individual users to easily create and enjoy original short videos at low cost.

[0441] Example 1

[0442] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0443] Today, there is a demand for systems that allow users to easily create original short videos. However, conventional methods require a great deal of time and effort for video production, and the quality of the generated content is inconsistent. Furthermore, there is also the issue that the scenario and character information entered by the user are not accurately reflected, resulting in the expected results. To solve these issues, a system is needed that can automatically generate high-quality scripts based on user input and then create highly accurate CG animations based on them.

[0444] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0445] In this invention, the server includes: means for a user to input specific scenario, character, and dialogue information using a device; means for converting the input information into structured data; means for securely transmitting the structured data to the server using the HTTPS protocol; means for checking whether the received information is missing or has errors; means for generating an original script using a generative AI model based on the received information; means for creating animation using a computer graphics engine based on the generated script; means for combining the animation to generate a final video file; means for encoding the generated video file in a common format; and means for providing the generated video file to the user. This allows users to easily generate high-quality original short videos and obtain the content they expect.

[0446] "User" refers to the entity that uses the system to input specific scenario, character, and dialogue information.

[0447] A "device" is any device a user uses to enter information, including a smartphone or computer.

[0448] A "scenario" is a detailed plan or plot that outlines the development and setting of a story.

[0449] A "character" is a character or entity that has a specific role within a story.

[0450] "Dialogue" refers to the words spoken by characters within a story.

[0451] "Structured data" refers to data that is organized in a specific format (e.g., JSON format).

[0452] "HTTPS protocol" refers to a protocol for securely transmitting data.

[0453] "Server" refers to a computer system for analyzing and processing information received from users.

[0454] "Generative AI model" refers to algorithms or software that use artificial intelligence to generate text or data.

[0455] A "script" refers to a detailed piece of writing created based on the generated scenario, characters, and dialogue.

[0456] A "computer graphics engine" refers to software that generates animation and video based on a script.

[0457] "Animation" refers to a video format that expresses movement by displaying a series of images.

[0458] A "video file" refers to an animation generated by a computer graphics engine compiled into a single file format (e.g., MP4 format).

[0459] "Encoding" refers to the process of converting data into a particular format.

[0460] The system of this invention realizes a series of processes that allow a user to input specific scenario, character, and dialogue information and generate an original short video based on that information. The following describes in detail an embodiment of this system.

[0461] Hardware and Software Configuration

[0462] The system begins when a user opens a web interface or mobile app on a device (e.g., a smartphone or computer), and the server side of the system is built using a server-side language such as Python or Node.js.

[0463] Device: Users use a smartphone or computer to access a dedicated web interface or mobile app.

[0464] Web interface: The web page or app screen displayed on a device, created using HTML, CSS, and JavaScript.

[0465] Server: A cloud server or dedicated server is used to receive and process requests from users.

[0466] Structured data: The scenario, character, and dialogue information entered by the user is sent to the server in JSON format.

[0467] Generative AI models, such as OpenAI's GPT-4, are used to generate scripts.

[0468] Computer graphics engine: For example, Blender or Unity is used to generate CG animation.

[0469] HTTPS protocol: A protocol for securely transmitting user data to a server.

[0470] Program processing description

[0471] User Input Processing

[0472] Users open the device's web interface or mobile app and fill in the fields for the scenario, characters, and dialogue. For example, if a user wants to create a "family picnic scenario," they would enter the following information:

[0473] Scenario: On a warm spring day, a family has a picnic.

[0474] Characters: Dad, Mom, and Kids

[0475] Dialogue: Kid: "This is fun!", Dad: "Let's play some more!", Mom: "I'll open my lunch box."

[0476] By pressing the submit button, the information is generated as structured data.

[0477] Sending information

[0478] The device sends the generated structured data to the server via the HTTPS protocol. The server parses the received data and checks whether there are any errors in the input data. If there are any errors, it returns an error message to the device and prompts the user to correct them. If there are no errors, it proceeds to the next step.

[0479] Script generation using text generation AI

[0480] The server sends error-free input data to the generative AI model, which analyzes the received data and generates an original script based on the scenario, characters, and dialogue information. For example, the script might include detailed scenes such as "Dad plays badminton, Mom unpacks her lunch, and the child says, 'This is fun!'"

[0481] CG animation generation

[0482] The server sends the generated script to a computer graphics engine, which models and renders the character movements and background scenes. This process generates animation for each scene and sends the data back to the server.

[0483] Generating a video file

[0484] The server combines the received CG animations to generate the final video file. Each animation frame is placed on the appropriate timeline, and audio and sound effects are added. The resulting video file is encoded in a common format, such as MP4.

[0485] Provision to users

[0486] The server sends the completed video file to the device and generates a download link, which the user can use to download and save the original video. The generated video can also be viewed or shared on social media.

[0487] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0488] Step 1:

[0489] The user uses the device to input specific scenario, character, and dialogue information. The user accesses a web interface or mobile app on their smartphone or computer and inputs the following information:

[0490] input:

[0491] Scenario: "A family is having a picnic on a warm spring day."

[0492] Characters: "Dad, Mom, Kids"

[0493] Dialogue: "Kid: 'This is fun!' Dad: 'Let's play some more!' Mom: 'I'll pack my lunch.'"

[0494] output:

[0495] Structured data (JSON format)

[0496] Specific behavior:

[0497] The user opens a dedicated input form in a web browser.

[0498] The user enters information into each input field and presses the "Submit" button.

[0499] This generates the entered information as structured data in JSON format.

[0500] Step 2:

[0501] The terminal transmits the generated structured data to the server using the HTTPS protocol.

[0502] input:

[0503] Structured data (JSON format)

[0504] output:

[0505] Sending data to the server

[0506] Specific behavior:

[0507] The terminal receives the JSON data generated by clicking the "Send" button.

[0508] The terminal uses the HTTPS protocol to send JSON data to the server.

[0509] Step 3:

[0510] The server analyzes the structured data it receives and checks whether there are any omissions or errors in the input data. If there are any errors, it returns an error message to the terminal and prompts the user to correct them.

[0511] input:

[0512] Structured data (JSON format)

[0513] output:

[0514] Error messages or data for further processing

[0515] Specific behavior:

[0516] The server parses the received JSON data and validates the data in each input field.

[0517] If there is a shortage or error as a result of the error check, an error message is sent to the terminal.

[0518] The user is shown the error and prompted to correct it.

[0519] Step 4:

[0520] The server generates an original script using a generative AI model based on error-free input data.

[0521] input:

[0522] Error-checked structured data (JSON format)

[0523] output:

[0524] Generated script (text format)

[0525] Specific behavior:

[0526] The server sends the error-checked JSON data to the generative AI model.

[0527] The generative AI model analyzes scenario, character, and dialogue information to generate a script.

[0528] The generated script is sent back to the server.

[0529] Step 5:

[0530] The server creates animation using a computer graphics engine based on the generated script.

[0531] input:

[0532] Generated script (text format)

[0533] output:

[0534] CG animation data

[0535] Specific behavior:

[0536] The server sends the generated script to a computer graphics engine.

[0537] The engine models and renders character movements and background scenes.

[0538] Animation is created for each scene and sent back to the server as CG animation data.

[0539] Step 6:

[0540] The server combines the received CG animations to generate the final video file.

[0541] input:

[0542] CG animation data

[0543] output:

[0544] Final video file (e.g. MP4 format)

[0545] Specific behavior:

[0546] The server analyzes the received CG animation data and places it on the timeline.

[0547] Add audio files and sound effects to the timeline and compile your video.

[0548] Encode the final video file in MP4 format or similar.

[0549] Step 7:

[0550] The server sends the completed video file to the device and generates a download link.

[0551] input:

[0552] Final video file (e.g. MP4 format)

[0553] output:

[0554] Download link

[0555] Specific behavior:

[0556] The server uploads the video file to cloud storage or the like and generates a link.

[0557] The generated download link is sent to the device.

[0558] The user uses the link to download and save the video file.

[0559] This allows users to easily create, watch, and share high-quality original videos based on their own creations.

[0560] (Application example 1)

[0561] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0562] There is a growing demand for users to easily create original short videos and view and share them on social media and content distribution services, but conventional technologies require specialized knowledge and tools, making them difficult for average users to use. Therefore, there is a need for a system that allows users to simply input scenario, character, and dialogue information, automatically generate high-quality original videos, and share them.

[0563] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0564] In this invention, the server includes means for a user to input specific scenario, character, and dialogue information using a device, means for transmitting the input information to the server, means for generating a script using a text generation engine based on the received information, means for creating computer graphics animation using a video generation engine based on the generated script, means for combining the created animations to generate a final video file, means for providing the generated video file to the user, and means for generating and providing a download link for the generated video file to the user. This enables users to easily create original short videos and share them on social media or content distribution services.

[0565] A "scenario" is information that shows the outline and progression of a story or a story.

[0566] A "character" is a person or animal that appears in a story and plays a role.

[0567] "Dialogue" refers to the words and expressions spoken by a character.

[0568] A "device" is an electronic device that a user uses to input information, including a smartphone, computer, etc.

[0569] A "server" is a computer system that receives and processes information sent by users.

[0570] A "text generation engine" is software or algorithms that generate sentences or scripts based on input scenario and character information.

[0571] A "video generation engine" is software or algorithms that create computer graphics animations, including character movements and background scenes, based on a generated script.

[0572] "Computer graphics animation" refers to video that includes computer-generated character and background movements.

[0573] "Video File" means a completed animation in a single file format, encoded in a common format (e.g. MP4).

[0574] "Download link" means a link that allows a user to download the generated video file via the Internet.

[0575] The system that realizes this application example allows users to input specific scenario, character, and dialogue information using a device, and then generates an original short video based on that information. Specifically, the system operates in the following steps:

[0576] First, a user opens a dedicated web interface or mobile app using a device such as a smartphone or computer. This interface displays input fields for the scenario, characters, dialogue, etc. The user fills in each field based on the story they envision, and when they are done, they press the "Submit" button. This action generates the input information as structured data (for example, in JSON format) and sends it to the server.

[0577] The server analyzes the received structured data using the HTTPS protocol and checks for omissions or errors. If an error is found, it returns an error message to the device and prompts the user to correct it. If no errors are found, it proceeds to the next step.

[0578] The server sends the received data to a text generation engine (e.g., OpenAI GPT-3), which generates an original script based on the scenario, characters, dialogue, etc. This text generation engine uses a generative AI model to create a detailed story and dialogue. For example, a family picnic scenario might include content such as "Dad plays badminton, Mom spreads out her lunch, and the child says, 'This is fun!'"

[0579] The generated script is received by the server and then sent to an image generation engine (e.g., Renderforest, Blender API). This image generation engine generates the movements of the characters and background scenes based on the contents of the generated script. This process includes modeling the character movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[0580] The server combines the received CG animations to generate the final video file. At this stage, each animation frame is placed on the appropriate timeline, and audio and sound effects can also be added. The generated video file is encoded in a common format (e.g., MP4). A download link is generated for the completed video file so that users can download it. Users can use the link to download, save, and watch their original video.

[0581] Examples of concrete examples and prompts

[0582] Let's say a user wants to create a Christmas story. Here's the data they input:

[0583] Scenario: "A family gathering on Christmas Eve"

[0584] Characters: "Dad, Mom, Kids"

[0585] Quotes: "Dad: 'Merry Christmas!', Mom: 'I'm ready', Kid: 'I wonder if Santa's coming?'"

[0586] An example prompt is:

[0587] Scenario: Family gathering on Christmas Eve

[0588] Characters: Dad, Mom, Child

[0589] Quotes:

[0590] Dad: Merry Christmas!

[0591] Mom: I'm ready

[0592] Child: Will Santa come?

[0593] Based on these prompts, the AI ​​will create a script and the CG animation engine will draw the scenes, completing a user-original Christmas short video. This video can also be shared on social media or content distribution services.

[0594] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0595] Step 1:

[0596] A user opens a dedicated web interface or mobile app on their device. They enter information about the scenario, characters, and lines into the input fields and press the "Submit" button. This action generates the entered information as structured data (e.g., JSON format) and sends it to the server as input data.

[0597] Step 2:

[0598] The terminal uses the HTTPS protocol to send the generated structured data to the server. The server analyzes the received data and checks for omissions or errors. If an error is found, an error message is returned to the terminal, prompting the user to correct it. The input data includes scenario, character, and dialogue information. If the analysis finds no errors, the process proceeds to the next step.

[0599] Step 3:

[0600] The server sends the input data to a text generation engine (e.g., OpenAI GPT-3). The text generation engine analyzes the input data and generates an original script based on the scenario, characters, and dialogue information. The generated script is a detailed description of the story progression, character actions, dialogue, etc. The generated script is then sent back to the server.

[0601] Step 4:

[0602] The server receives the generated script and sends it to a video generation engine (e.g., Renderforest, Blender API). The video generation engine generates the movements of the characters and background scenes based on the contents of the generated script. This process includes modeling the character movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[0603] Step 5:

[0604] The server combines the received CG animations to generate the final video file. At this stage, each animation frame is placed on the appropriate timeline, and audio and sound effects are added. The resulting video file is encoded in a common format (e.g., MP4). The finished video file is then stored on the server.

[0605] Step 6:

[0606] The server generates a download link for the generated video file and provides it to the user. The user can use the link to download, save, and watch their original video. In addition, the user can share the generated video on social media or content distribution services.

[0607] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0608] The system of this invention combines an emotion engine with a process for generating original short videos based on scenario, character, and dialogue information entered by the user. The following describes in detail the mode for implementing this system.

[0609] 1. User Input Processing

[0610] A user opens a dedicated web interface or mobile app on a device (e.g., a smartphone or computer). The interface displays input fields related to the scenario, characters, lines, and emotions. The user fills in these fields and presses the "Submit" button. This action generates the input information as structured data (e.g., JSON format).

[0611] 2. Transmission of information

[0612] The device sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received information and checks the input data for errors. If there are any omissions or errors, the server returns an error message to the device and prompts the user to correct them.

[0613] 3. Emotion analysis

[0614] The server first sends error-free input data to the emotion engine, which then analyzes the user's input data (e.g., words in the text, input emotion tags, etc.) to identify the user's emotional state. Based on this, the analysis results are sent to the text generation engine as reference information for script generation.

[0615] 4. Script Generation Using Text Generation AI

[0616] The server sends the emotion analysis results received from the emotion engine to the text generation engine. The text generation engine generates an original script based on the received scenario, character, dialogue information, and emotion data. The generated script is a document that describes in detail the progression of the scenario, character actions, dialogue, etc. For example, if the input data includes the emotion "fun," the script will contain many cheerful scenes and lines.

[0617] 5. Launching the CG animation generation AI

[0618] The server sends the generated script to the video generation engine. The video generation engine generates animation for the character movements and background based on the script, and sends the generated CG animation back to the server. Because the analysis results of the emotion engine are incorporated, the character's facial expressions and movements also change according to the analysis results. For example, if the emotion is "happy," the character will smile more.

[0619] 6. Generating video files

[0620] The server composites the received CG animations to generate the final video file. This process includes placing each animation frame on a timeline, adding sound effects, and encoding it in the appropriate format (e.g., MP4). The video includes direction based on the results of sentiment analysis.

[0621] 7. Providing videos to users

[0622] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download and save the original video. The generated video can also be shared on social media.

[0623] This system allows users to easily create original short videos that reflect their emotions, allowing them to enjoy unique and engaging content at low cost.

[0624] The processing flow will be explained below.

[0625] Step 1:

[0626] The user opens a dedicated web interface or mobile app on their device. The interface displays input fields related to the scenario, characters, lines, and emotions. The user fills in these fields and presses the "Submit" button.

[0627] Step 2:

[0628] The device generates structured data such as JSON based on the user's input, and sends the data to the server using the HTTPS protocol.

[0629] Step 3:

[0630] The server analyzes the received structured data and checks whether there are any omissions or errors in the input data. If there are any omissions or errors, the server returns an error message to the terminal and prompts the user to correct them.

[0631] Step 4:

[0632] The server sends error-free input data to the emotion engine, which analyzes the data and identifies the user's emotion from the input. For example, if the text contains keywords such as "happy" or "fun," the emotion analysis result will be determined to be "positive."

[0633] Step 5:

[0634] The server receives the analysis results from the emotion engine and sends them to the text generation engine, which then automatically generates an original script based on the scenario, characters, dialogue information, and emotion analysis results. For example, based on the emotion "fun," it generates a script containing cheerful scenes and positive dialogue.

[0635] Step 6:

[0636] The server sends the generated script to the video generation engine. The video generation engine generates animations for character movements and backgrounds based on the script, and reflects the results of emotion analysis. For example, if the emotion is "happy," the character's expression will be a smile. The generated CG animation is then sent back to the server.

[0637] Step 7:

[0638] The server synthesizes the received CG animation data to generate the final video file. This process also includes arranging each animation frame and adding audio and sound effects. The resulting video file is then encoded in the appropriate format (e.g., MP4).

[0639] Step 8:

[0640] The server sends the completed video file to the device and generates a download link for the user. The user can click this link to download and watch the original video. In addition, the user can share the generated video on social media.

[0641] Example 2

[0642] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0643] Conventional short video generation systems simply reflect the scenario and character information entered by the user, and have the problem of not being able to generate videos that fully consider the viewer's emotions. Furthermore, because the visual and audio effects are not linked to emotions, it is difficult to make an emotional impact on the viewer. This makes it difficult for users to create unique and appealing content at low cost.

[0644] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0645] In this invention, the server includes: means for a user to input information related to a specific scenario, characters, dialogue information, and emotions using a device; means for generating the input information as structured data using a terminal and sending it to the server; means for performing error checks on the received information and, if no errors are found, sending the data to an emotion engine; means for the emotion engine to analyze the emotional state and for a text generation engine to generate a script based on the results; means for creating computer graphics animation using a video generation engine based on the generated script; means for synthesizing the created animations and encoding them as a final video file; and means for providing the generated video file to the user. This makes it possible to easily generate original short videos that reflect the emotions input by the user and appeal to the viewers' emotions.

[0646] "User" refers to an individual or organization that uses the system to input scenarios, characters, dialogue information, and emotional information.

[0647] "Device" means a device through which a User accesses and inputs information into the System, including hardware such as a smartphone, computer, or tablet.

[0648] "Scenario" refers to the text information that makes up the content and storyline of a video. The scenario entered by the user determines the overall theme and flow of the video.

[0649] "Characters" refers to the characters depicted in the scenario, including their names, personalities, roles, etc.

[0650] "Dialogue information" refers to the words and dialogue spoken by characters within a scenario.

[0651] "Emotional information" refers to the emotional state related to the scenario and the actions of the characters. Emotional information affects the direction of the video and the facial expressions of the characters.

[0652] A "terminal" is a device used by a user that generates information as structured data and sends it to a server.

[0653] "Structured data" refers to information entered by a user that has been converted into a specific format (e.g., JSON) that can be processed efficiently within a system.

[0654] "Server" refers to the computer system that receives and processes data sent by users, including error checking, sentiment analysis, script generation, and animation creation.

[0655] An "emotion engine" is software that analyzes emotional states based on input data and is responsible for generating emotion analysis results.

[0656] "Text generation engine" refers to software that generates original scripts based on the results of sentiment analysis.

[0657] A "video generation engine" refers to software that creates animations of character movements and backgrounds based on a generated script.

[0658] "Computer graphics animation" refers to the animation of character movements and backgrounds generated by an image generation engine.

[0659] "Final video file" refers to the completed video created by combining multiple animation scenes and adding sound effects, etc.

[0660] "Audio effects" refers to the audio and sound effects used in the video, including character dialogue and background sounds.

[0661] "Encoding" refers to the process of converting the generated video file into the optimal format (e.g. MP4).

[0662] "Providing" means making the generated video file available for download to users.

[0663] The system of the present invention allows users to easily create original short videos that reflect their emotions. A specific embodiment of this system will be described in detail below.

[0664] 1. User Input Processing

[0665] A user uses a device (e.g., a smartphone or computer) to open a web interface or mobile app to access the system. This interface displays input fields related to the scenario, characters, dialogue, and emotions. The user enters the required information into these fields and presses the "Submit" button. The input information is then generated as structured data.

[0666] example:

[0667] Scenario: Fun Adventure

[0668] Characters: Alice, Bob

[0669] Quote: Hello! What a great day today!

[0670] Emotion: Happy

[0671] 2. Transmission of information

[0672] The device sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received information and checks the input data for errors. If there are any omissions or errors, the server returns an error message to the device and prompts the user to correct them.

[0673] 3. Emotion analysis

[0674] The server sends the data that passes the error check to the emotion engine, which analyzes the user's input data (e.g., words in the text, entered emotion tags, etc.) and identifies the user's emotional state. Based on this, it sends the analysis results back to the server.

[0675] 4. Script Generation Using Text Generation AI

[0676] The server sends the emotion analysis results to a text generation engine, which generates an original script based on the received scenario, characters, dialogue information, and emotion data. The generated script is a document that describes in detail the progression of the scenario, character actions, dialogue, etc.

[0677] 5. Launching the CG animation generation AI

[0678] The server sends the generated script to the video generation engine. The video generation engine generates animation for the character movements and background based on the script, and sends the generated CG animation back to the server. Because the analysis results of the emotion engine are incorporated, the character's facial expressions and movements also change according to the analysis results.

[0679] 6. Generating video files

[0680] The server composites the received CG animations to generate the final video file, including placing each animation frame on a timeline and adding sound effects, and encoding it in the appropriate format (e.g. MP4).

[0681] 7. Providing videos to users

[0682] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download and save the original video. The generated video can also be shared on social media.

[0683] The system allows users to easily generate visually and emotionally compelling short videos at low cost using robust technology.

[0684] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0685] Step 1:

[0686] The user opens a dedicated web interface or mobile app using a device (e.g., a smartphone or computer). The user enters the scenario, characters, dialogue information, and emotion information into the input fields of the interface and presses the "Submit" button. The input is scenario: "A fun adventure", characters: "Alice, Bob", dialogue: "Hello! It's a great day today!", emotion: "Fun". The output is converted from this input information into structured data in JSON format.

[0687] Step 2:

[0688] The terminal sends the generated structured data to the server via the HTTPS protocol. Specifically, the structured data (e.g., JSON) is sent as a POST request to the endpoint. The input is the JSON data generated in step 1, and the output is received by the server.

[0689] Step 3:

[0690] The server analyzes the received JSON data and performs error checks to ensure each item has been entered correctly. Specifically, it checks whether there are any missing fields and whether the data format is correct. The input is the JSON data sent from the terminal, and the output is that if there are no errors, it proceeds to the next processing step, and if there are errors, it generates an error message and sends it back to the terminal.

[0691] Step 4:

[0692] The server sends the error-free structured data to the emotion engine, which analyzes the text data and identifies the emotional state. Specifically, it uses natural language processing to analyze keywords in the text and identify emotions such as "fun." The input is error-free structured data, and the output is the emotion analysis results.

[0693] Step 5:

[0694] The server sends the emotion analysis results to a text generation engine. The text generation engine generates an original script based on the emotion analysis results and the scenario, characters, and dialogue information entered by the user. Specifically, it uses a generative AI model to create a script while maintaining the consistency of the story. The inputs are the emotion analysis results and the user's input data, and the generated script is returned as the output.

[0695] Step 6:

[0696] The server sends the generated script to the video generation engine, which generates animations of character movements and backgrounds based on the contents of the script. Specifically, it creates animation for each scene and reflects the results of emotion analysis in the characters' expressions and movements. The input is the generated script and the results of emotion analysis, and the output is CG animation.

[0697] Step 7:

[0698] The server composites the received CG animation to generate the final video file. Specifically, it places each animation frame on a timeline, adds audio effects, and encodes it in the appropriate format (e.g., MP4). The input is the CG animation data and the necessary audio effect files, and the output is the final video file.

[0699] Step 8:

[0700] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download the original video, save it, or share it on social media. The input is the generated video file, and the output is a download link provided to the user.

[0701] (Application example 2)

[0702] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0703] While conventional video generation systems can generate scripts and animations based on user input, it is difficult to automatically generate content that reflects the user's emotions. Furthermore, when using generated content in virtual events, it is not possible to properly reflect the character's movements, facial expressions, and audio effects according to the user's emotions. This requires users to manually edit the content to improve its quality, which takes time and effort.

[0704] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0705] In this invention, the server includes means for analyzing the emotional state using an emotion engine, means for generating a script using a text generation engine based on the emotion analysis results and input information, and means for controlling the movements and facial expressions of characters based on the generated script and the emotion analysis results. This makes it possible to automatically generate original short videos that reflect the user's emotions and use them in virtual events using smart devices.

[0706] "User" means any person or entity that uses the System.

[0707] "Device" refers to the terminal equipment through which the user makes input, including smartphones, computers, head-mounted displays, etc.

[0708] A "scenario" is the story or scene setting that serves as the basis for generating the video.

[0709] "Characters" refer to people, animals, fictional beings, etc. that appear in the video.

[0710] "Dialogue information" refers to the words and lines spoken by characters.

[0711] "Emotion-related information" refers to tags or keywords that indicate the user's emotional state.

[0712] "Structured data" refers to information entered by a user that is organized in a certain format, such as the JSON format.

[0713] A "server" is a computer system that receives structured data sent by a user and performs analysis and generation processing.

[0714] An "emotion engine" is software that analyzes emotion-related information entered by a user and identifies that user's emotional state.

[0715] "Emotion analysis results" refers to the data output as a result of analysis by the emotion engine.

[0716] A "text generation engine" is software that generates original scripts based on the results of sentiment analysis and user input data.

[0717] A "script" is a piece of text that details the progression of the scenario, the actions of the characters, the lines, etc.

[0718] A "video generation engine" is software for creating computer graphics animation based on a generated script.

[0719] "Computer graphics animation" refers to animated images generated using a computer.

[0720] A "moving image file" is a file in which the generated animation image is saved.

[0721] "Audio file" refers to audio data specified by the user.

[0722] "Sound effects" are sounds added to emphasize a character's emotion or the atmosphere of a scene.

[0723] The system of the present invention generates original short videos based on the scenario, characters, dialogue information, and emotional information entered by the user. The following describes the specific procedures and necessary hardware and software for implementing this system.

[0724] First, the user accesses the system using a device such as a smartphone or a head-mounted display (HMD). The user enters information related to the scenario, characters, lines, and emotions into a dedicated interface. For example, if a user is creating a scenario based on the theme of "a friend's birthday event" and wants to set the emotion as "fun," they would enter the following:

[0725] Scenario: A party scene celebrating a friend's birthday

[0726] Characters: Protagonist, Friend A, Friend B

[0727] Quotes: "Happy Birthday!", "Let's all have fun!"

[0728] Emotion: Happy

[0729] These inputs are then sent to a server as structured data in JSON format, where the server analyzes the data and first identifies the emotional state using an emotion engine, which can be the IBM Watson Tone Analyzer.

[0730] After obtaining the sentiment analysis results, the server uses the text generation engine GPT-4 to generate a script, which is created based on the scenario, characters, dialogue information entered by the user, and the sentiment analysis results.

[0731] The generated script is incredibly detailed, describing scene progression, character movements, lines, etc. For example, if the emotion is "happy," the character's movements and facial expressions will reflect that cheerfulness.

[0732] The server then sends the generated script to a video generation engine such as Unreal Engine to create computer graphics animation, where the character's movements and expressions are reflected based on the results of emotion analysis.

[0733] Finally, the generated animations are composited to generate the final video file. The video file is encoded in the appropriate format (e.g., MP4) and provided to the user's device as a download link. Using this link, the user can download and save the video. Additionally, the generated video can be shared on social media.

[0734] This invention allows users to easily create original, emotive short videos, adding more charm and personality to virtual events.

[0735] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0736] Step 1:

[0737] Users access the system using a device (e.g., a smartphone or a head-mounted display). They input information related to the scenario, characters, lines, and emotions into a dedicated interface. This information is entered in the form of scenario, character, line, and emotion tags. Then, when they press the "Submit" button, the input information is generated as structured data in JSON format.

[0738] Input: User-entered scenario, characters, lines, and emotional information

[0739] Output: Structured data in JSON format

[0740] Step 2:

[0741] The device sends the generated structured data in JSON format to the server using the HTTPS protocol. The server first parses the received data and checks for errors. If there are any missing or incorrect information, the server returns an error message to the device and prompts the user to correct the error.

[0742] Input: Structured data (JSON format)

[0743] Output: Check the data contents, intermediate data

[0744] Step 3:

[0745] The server sends error-free structured data to the emotion engine, which analyzes the emotional state from the input information. The emotion engine uses the IBM Watson Tone Analyzer. The analysis results in emotional tags and scores.

[0746] Input: Error-free structured data

[0747] Output: Sentiment analysis results (emotion tags and scores)

[0748] Step 4:

[0749] The server sends the emotion analysis results obtained from the emotion engine to a text generation engine (e.g., GPT-4), which generates a script based on the user's input and the emotion analysis results. The text generation engine combines the scenario, characters, dialogue, and emotion tags to generate a new script.

[0750] Input: Emotion analysis results, scenario, characters, dialogue information

[0751] Output: Generated script

[0752] Step 5:

[0753] The server then sends the generated script to a video generation engine (e.g., Unreal Engine) to create a computer graphics animation, which incorporates the results of emotion analysis and appropriately sets the character's movements and facial expressions.

[0754] Input: Generated script

[0755] Output: Computer Graphics Animation

[0756] Step 6:

[0757] The server places the generated computer graphics animation on a timeline and generates the final video file, including the placement of each animation frame and adding sound effects, which is then encoded in the appropriate format (e.g. MP4).

[0758] Input: Computer Graphics Animation

[0759] Output: Final video file

[0760] Step 7:

[0761] The server sends the final video file to the user's device and generates a download link, which the user can use to download and save the original video. The generated video can also be shared on social media.

[0762] Input: Final video file

[0763] Output: Download link, shareable video file

[0764] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0765] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0766] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0767] [Third embodiment]

[0768] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0769] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0770] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0771] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0772] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0773] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0774] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0775] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0776] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0777] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0778] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0779] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0780] The system of this invention is designed to realize a series of processes in which a user inputs specific scenario, character, and dialogue information and generates an original short video based on that information. The following describes in detail an embodiment of this system.

[0781] 1. User Input Processing

[0782] A user opens a dedicated web interface or mobile app on a device (e.g., a smartphone or computer). The interface displays input fields for the scenario, characters, dialogue, etc. The user fills in the information in each field based on the story they envision, and when they are done, they press the "Submit" button. This operation generates the input information as structured data (e.g., in JSON format).

[0783] 2. Transmission of information

[0784] The device securely sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received data and checks whether there are any omissions or errors in the input data. If there are any errors, it returns an error message to the device and prompts the user to correct them. If there are no errors, it proceeds to the next process.

[0785] 3. Script generation using text generation AI

[0786] The server sends error-free input data to a text generation engine (for example, various generative AI technologies). The text generation engine analyzes the received data and generates an original script based on the scenario, characters, lines, etc. The generated script is a sentence that describes in detail the progression of the story, the actions of the characters, the lines, etc. For example, in a family picnic scenario, detailed scenes such as "Dad plays badminton, Mom spreads out her lunch, and the child says, 'This is fun!'" are generated. The server receives this generated script and proceeds to the next step.

[0787] 4. Launching the CG animation generation AI

[0788] The server then sends the generated script to a video generation engine (e.g., various CG animation generation technologies). The video generation engine generates the movements of the characters and background scenes based on the contents of the script. This includes modeling the character's movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[0789] 5. Generate video files

[0790] The server combines the received CG animations to generate the final video file. This process involves placing each animation frame on the appropriate timeline and adding audio and sound effects. The resulting video file is encoded in a common format (e.g., MP4). For example, a picnic scene video might include scenes of dad playing badminton, mom opening her lunch, and the child saying, "This is fun!"

[0791] 6. Providing videos to users

[0792] The server sends the completed video file to the device and generates a download link. Users can use the link to download and save their original video. Users can also watch the generated video and share it on social media.

[0793] In this way, a specific form of system can be implemented that links a text generation engine and a video generation engine based on information such as the scenario, characters, and lines entered by the user, and ultimately generates and provides an original short video.

[0794] The processing flow will be explained below.

[0795] Step 1:

[0796] The user opens a dedicated web interface or mobile app on their device. The interface displays input fields for the scenario, characters, lines, etc. The user enters the required information in those fields and presses the "Submit" button.

[0797] Step 2:

[0798] The device generates user input as structured data, such as JSON, and sends the data to the server using the HTTPS protocol.

[0799] Step 3:

[0800] The server parses the received JSON data and checks whether there are any omissions or errors in the input data. If there are any omissions or errors, the server returns an error message to the terminal and prompts the user to correct them.

[0801] Step 4:

[0802] The server sends error-free input data to the text generation engine, which automatically generates an original script based on the scenario, characters, and dialogue information. The generated script is then sent back to the server.

[0803] Step 5:

[0804] The server sends the generated script to the video generation engine, which automatically generates animations for character movements and backgrounds based on the script, and sends the generated CG animations back to the server.

[0805] Step 6:

[0806] The server synthesizes the received CG animation data to generate the final video file, and encodes the video file into the appropriate format (e.g. MP4).

[0807] Step 7:

[0808] The server sends the generated video file to the user's device and generates a download link, which the user can click to download and watch the original video.

[0809] Step 8:

[0810] Users can share the videos they create on social media, allowing individual users to easily create and enjoy original short videos at low cost.

[0811] Example 1

[0812] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0813] Today, there is a demand for systems that allow users to easily create original short videos. However, conventional methods require a great deal of time and effort for video production, and the quality of the generated content is inconsistent. Furthermore, there is also the issue that the scenario and character information entered by the user are not accurately reflected, resulting in the expected results. To solve these issues, a system is needed that can automatically generate high-quality scripts based on user input and then create highly accurate CG animations based on them.

[0814] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0815] In this invention, the server includes: means for a user to input specific scenario, character, and dialogue information using a device; means for converting the input information into structured data; means for securely transmitting the structured data to the server using the HTTPS protocol; means for checking whether the received information is missing or has errors; means for generating an original script using a generative AI model based on the received information; means for creating animation using a computer graphics engine based on the generated script; means for combining the animation to generate a final video file; means for encoding the generated video file in a common format; and means for providing the generated video file to the user. This allows users to easily generate high-quality original short videos and obtain the content they expect.

[0816] "User" refers to the entity that uses the system to input specific scenario, character, and dialogue information.

[0817] A "device" is any device a user uses to enter information, including a smartphone or computer.

[0818] A "scenario" is a detailed plan or plot that outlines the development and setting of a story.

[0819] A "character" is a character or entity that has a specific role within a story.

[0820] "Dialogue" refers to the words spoken by characters within a story.

[0821] "Structured data" refers to data that is organized in a specific format (e.g., JSON format).

[0822] "HTTPS protocol" refers to a protocol for securely transmitting data.

[0823] "Server" refers to a computer system for analyzing and processing information received from users.

[0824] "Generative AI model" refers to algorithms or software that use artificial intelligence to generate text or data.

[0825] A "script" refers to a detailed piece of writing created based on the generated scenario, characters, and dialogue.

[0826] A "computer graphics engine" refers to software that generates animation and video based on a script.

[0827] "Animation" refers to a video format that expresses movement by displaying a series of images.

[0828] A "video file" refers to an animation generated by a computer graphics engine compiled into a single file format (e.g., MP4 format).

[0829] "Encoding" refers to the process of converting data into a particular format.

[0830] The system of this invention realizes a series of processes that allow a user to input specific scenario, character, and dialogue information and generate an original short video based on that information. The following describes in detail an embodiment of this system.

[0831] Hardware and Software Configuration

[0832] The system begins when a user opens a web interface or mobile app on a device (e.g., a smartphone or computer), and the server side of the system is built using a server-side language such as Python or Node.js.

[0833] Device: Users use a smartphone or computer to access a dedicated web interface or mobile app.

[0834] Web interface: The web page or app screen displayed on a device, created using HTML, CSS, and JavaScript.

[0835] Server: A cloud server or dedicated server is used to receive and process requests from users.

[0836] Structured data: The scenario, character, and dialogue information entered by the user is sent to the server in JSON format.

[0837] Generative AI models, such as OpenAI's GPT-4, are used to generate scripts.

[0838] Computer graphics engine: For example, Blender or Unity is used to generate CG animation.

[0839] HTTPS protocol: A protocol for securely transmitting user data to a server.

[0840] Program processing description

[0841] User Input Processing

[0842] Users open the device's web interface or mobile app and fill in the fields for the scenario, characters, and dialogue. For example, if a user wants to create a "family picnic scenario," they would enter the following information:

[0843] Scenario: On a warm spring day, a family has a picnic.

[0844] Characters: Dad, Mom, and Kids

[0845] Dialogue: Kid: "This is fun!", Dad: "Let's play some more!", Mom: "I'll open my lunch box."

[0846] By pressing the submit button, the information is generated as structured data.

[0847] Sending information

[0848] The device sends the generated structured data to the server via the HTTPS protocol. The server parses the received data and checks whether there are any errors in the input data. If there are any errors, it returns an error message to the device and prompts the user to correct them. If there are no errors, it proceeds to the next step.

[0849] Script generation using text generation AI

[0850] The server sends error-free input data to the generative AI model, which analyzes the received data and generates an original script based on the scenario, characters, and dialogue information. For example, the script might include detailed scenes such as "Dad plays badminton, Mom unpacks her lunch, and the child says, 'This is fun!'"

[0851] CG animation generation

[0852] The server sends the generated script to a computer graphics engine, which models and renders the character movements and background scenes. This process generates animation for each scene and sends the data back to the server.

[0853] Generating a video file

[0854] The server combines the received CG animations to generate the final video file. Each animation frame is placed on the appropriate timeline, and audio and sound effects are added. The resulting video file is encoded in a common format, such as MP4.

[0855] Provision to users

[0856] The server sends the completed video file to the device and generates a download link, which the user can use to download and save the original video. The generated video can also be viewed or shared on social media.

[0857] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0858] Step 1:

[0859] The user uses the device to input specific scenario, character, and dialogue information. The user accesses a web interface or mobile app on their smartphone or computer and inputs the following information:

[0860] input:

[0861] Scenario: "A family is having a picnic on a warm spring day."

[0862] Characters: "Dad, Mom, Kids"

[0863] Dialogue: "Kid: 'This is fun!' Dad: 'Let's play some more!' Mom: 'I'll pack my lunch.'"

[0864] output:

[0865] Structured data (JSON format)

[0866] Specific behavior:

[0867] The user opens a dedicated input form in a web browser.

[0868] The user enters information into each input field and presses the "Submit" button.

[0869] This generates the entered information as structured data in JSON format.

[0870] Step 2:

[0871] The terminal transmits the generated structured data to the server using the HTTPS protocol.

[0872] input:

[0873] Structured data (JSON format)

[0874] output:

[0875] Sending data to the server

[0876] Specific behavior:

[0877] The terminal receives the JSON data generated by clicking the "Send" button.

[0878] The terminal uses the HTTPS protocol to send JSON data to the server.

[0879] Step 3:

[0880] The server analyzes the structured data it receives and checks whether there are any omissions or errors in the input data. If there are any errors, it returns an error message to the terminal and prompts the user to correct them.

[0881] input:

[0882] Structured data (JSON format)

[0883] output:

[0884] Error messages or data for further processing

[0885] Specific behavior:

[0886] The server parses the received JSON data and validates the data in each input field.

[0887] If there is a shortage or error as a result of the error check, an error message is sent to the terminal.

[0888] The user is shown the error and prompted to correct it.

[0889] Step 4:

[0890] The server generates an original script using a generative AI model based on error-free input data.

[0891] input:

[0892] Error-checked structured data (JSON format)

[0893] output:

[0894] Generated script (text format)

[0895] Specific behavior:

[0896] The server sends the error-checked JSON data to the generative AI model.

[0897] The generative AI model analyzes scenario, character, and dialogue information to generate a script.

[0898] The generated script is sent back to the server.

[0899] Step 5:

[0900] The server creates animation using a computer graphics engine based on the generated script.

[0901] input:

[0902] Generated script (text format)

[0903] output:

[0904] CG animation data

[0905] Specific behavior:

[0906] The server sends the generated script to a computer graphics engine.

[0907] The engine models and renders character movements and background scenes.

[0908] Animation is created for each scene and sent back to the server as CG animation data.

[0909] Step 6:

[0910] The server combines the received CG animations to generate the final video file.

[0911] input:

[0912] CG animation data

[0913] output:

[0914] Final video file (e.g. MP4 format)

[0915] Specific behavior:

[0916] The server analyzes the received CG animation data and places it on the timeline.

[0917] Add audio files and sound effects to the timeline and compile your video.

[0918] Encode the final video file in MP4 format or similar.

[0919] Step 7:

[0920] The server sends the completed video file to the device and generates a download link.

[0921] input:

[0922] Final video file (e.g. MP4 format)

[0923] output:

[0924] Download link

[0925] Specific behavior:

[0926] The server uploads the video file to cloud storage or the like and generates a link.

[0927] The generated download link is sent to the device.

[0928] The user uses the link to download and save the video file.

[0929] This allows users to easily create, watch, and share high-quality original videos based on their own creations.

[0930] (Application example 1)

[0931] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0932] There is a growing demand for users to easily create original short videos and view and share them on social media and content distribution services, but conventional technologies require specialized knowledge and tools, making them difficult for average users to use. Therefore, there is a need for a system that allows users to simply input scenario, character, and dialogue information, automatically generate high-quality original videos, and share them.

[0933] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0934] In this invention, the server includes means for a user to input specific scenario, character, and dialogue information using a device, means for transmitting the input information to the server, means for generating a script using a text generation engine based on the received information, means for creating computer graphics animation using a video generation engine based on the generated script, means for combining the created animations to generate a final video file, means for providing the generated video file to the user, and means for generating and providing a download link for the generated video file to the user. This enables users to easily create original short videos and share them on social media or content distribution services.

[0935] A "scenario" is information that shows the outline and progression of a story or a story.

[0936] A "character" is a person or animal that appears in a story and plays a role.

[0937] "Dialogue" refers to the words and expressions spoken by a character.

[0938] A "device" is an electronic device that a user uses to input information, including a smartphone, computer, etc.

[0939] A "server" is a computer system that receives and processes information sent by users.

[0940] A "text generation engine" is software or algorithms that generate sentences or scripts based on input scenario and character information.

[0941] A "video generation engine" is software or algorithms that create computer graphics animations, including character movements and background scenes, based on a generated script.

[0942] "Computer graphics animation" refers to video that includes computer-generated character and background movements.

[0943] "Video File" means a completed animation in a single file format, encoded in a common format (e.g. MP4).

[0944] "Download link" means a link that allows a user to download the generated video file via the Internet.

[0945] The system that realizes this application example allows users to input specific scenario, character, and dialogue information using a device, and then generates an original short video based on that information. Specifically, the system operates in the following steps:

[0946] First, a user opens a dedicated web interface or mobile app using a device such as a smartphone or computer. This interface displays input fields for the scenario, characters, dialogue, etc. The user fills in each field based on the story they envision, and when they are done, they press the "Submit" button. This action generates the input information as structured data (for example, in JSON format) and sends it to the server.

[0947] The server analyzes the received structured data using the HTTPS protocol and checks for omissions or errors. If an error is found, it returns an error message to the device and prompts the user to correct it. If no errors are found, it proceeds to the next step.

[0948] The server sends the received data to a text generation engine (e.g., OpenAI GPT-3), which generates an original script based on the scenario, characters, dialogue, etc. This text generation engine uses a generative AI model to create a detailed story and dialogue. For example, a family picnic scenario might include content such as "Dad plays badminton, Mom spreads out her lunch, and the child says, 'This is fun!'"

[0949] The generated script is received by the server and then sent to an image generation engine (e.g., Renderforest, Blender API). This image generation engine generates the movements of the characters and background scenes based on the contents of the generated script. This process includes modeling the character movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[0950] The server combines the received CG animations to generate the final video file. At this stage, each animation frame is placed on the appropriate timeline, and audio and sound effects can also be added. The generated video file is encoded in a common format (e.g., MP4). A download link is generated for the completed video file so that users can download it. Users can use the link to download, save, and watch their original video.

[0951] Examples of concrete examples and prompts

[0952] Let's say a user wants to create a Christmas story. Here's the data they input:

[0953] Scenario: "A family gathering on Christmas Eve"

[0954] Characters: "Dad, Mom, Kids"

[0955] Quotes: "Dad: 'Merry Christmas!', Mom: 'I'm ready', Kid: 'I wonder if Santa's coming?'"

[0956] An example prompt is:

[0957] Scenario: Family gathering on Christmas Eve

[0958] Characters: Dad, Mom, Child

[0959] Quotes:

[0960] Dad: Merry Christmas!

[0961] Mom: I'm ready

[0962] Child: Will Santa come?

[0963] Based on these prompts, the AI ​​will create a script and the CG animation engine will draw the scenes, completing a user-original Christmas short video. This video can also be shared on social media or content distribution services.

[0964] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0965] Step 1:

[0966] A user opens a dedicated web interface or mobile app on their device. They enter information about the scenario, characters, and lines into the input fields and press the "Submit" button. This action generates the entered information as structured data (e.g., JSON format) and sends it to the server as input data.

[0967] Step 2:

[0968] The terminal uses the HTTPS protocol to send the generated structured data to the server. The server analyzes the received data and checks for omissions or errors. If an error is found, an error message is returned to the terminal, prompting the user to correct it. The input data includes scenario, character, and dialogue information. If the analysis finds no errors, the process proceeds to the next step.

[0969] Step 3:

[0970] The server sends the input data to a text generation engine (e.g., OpenAI GPT-3). The text generation engine analyzes the input data and generates an original script based on the scenario, characters, and dialogue information. The generated script is a detailed description of the story progression, character actions, dialogue, etc. The generated script is then sent back to the server.

[0971] Step 4:

[0972] The server receives the generated script and sends it to a video generation engine (e.g., Renderforest, Blender API). The video generation engine generates the movements of the characters and background scenes based on the contents of the generated script. This process includes modeling the character movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[0973] Step 5:

[0974] The server combines the received CG animations to generate the final video file. At this stage, each animation frame is placed on the appropriate timeline, and audio and sound effects are added. The resulting video file is encoded in a common format (e.g., MP4). The finished video file is then stored on the server.

[0975] Step 6:

[0976] The server generates a download link for the generated video file and provides it to the user. The user can use the link to download, save, and watch their original video. In addition, the user can share the generated video on social media or content distribution services.

[0977] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0978] The system of this invention combines an emotion engine with a process for generating original short videos based on scenario, character, and dialogue information entered by the user. The following describes in detail the mode for implementing this system.

[0979] 1. User Input Processing

[0980] A user opens a dedicated web interface or mobile app on a device (e.g., a smartphone or computer). The interface displays input fields related to the scenario, characters, lines, and emotions. The user fills in these fields and presses the "Submit" button. This action generates the input information as structured data (e.g., JSON format).

[0981] 2. Transmission of information

[0982] The device sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received information and checks the input data for errors. If there are any omissions or errors, the server returns an error message to the device and prompts the user to correct them.

[0983] 3. Emotion analysis

[0984] The server first sends error-free input data to the emotion engine, which then analyzes the user's input data (e.g., words in the text, input emotion tags, etc.) to identify the user's emotional state. Based on this, the analysis results are sent to the text generation engine as reference information for script generation.

[0985] 4. Script Generation Using Text Generation AI

[0986] The server sends the emotion analysis results received from the emotion engine to the text generation engine. The text generation engine generates an original script based on the received scenario, character, dialogue information, and emotion data. The generated script is a document that describes in detail the progression of the scenario, character actions, dialogue, etc. For example, if the input data includes the emotion "fun," the script will contain many cheerful scenes and lines.

[0987] 5. Launching the CG animation generation AI

[0988] The server sends the generated script to the video generation engine. The video generation engine generates animation for the character movements and background based on the script, and sends the generated CG animation back to the server. Because the analysis results of the emotion engine are incorporated, the character's facial expressions and movements also change according to the analysis results. For example, if the emotion is "happy," the character will smile more.

[0989] 6. Generating video files

[0990] The server composites the received CG animations to generate the final video file. This process includes placing each animation frame on a timeline, adding sound effects, and encoding it in the appropriate format (e.g., MP4). The video includes direction based on the results of sentiment analysis.

[0991] 7. Providing videos to users

[0992] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download and save the original video. The generated video can also be shared on social media.

[0993] This system allows users to easily create original short videos that reflect their emotions, allowing them to enjoy unique and engaging content at low cost.

[0994] The processing flow will be explained below.

[0995] Step 1:

[0996] The user opens a dedicated web interface or mobile app on their device. The interface displays input fields related to the scenario, characters, lines, and emotions. The user fills in these fields and presses the "Submit" button.

[0997] Step 2:

[0998] The device generates structured data such as JSON based on the user's input, and sends the data to the server using the HTTPS protocol.

[0999] Step 3:

[1000] The server analyzes the received structured data and checks whether there are any omissions or errors in the input data. If there are any omissions or errors, the server returns an error message to the terminal and prompts the user to correct them.

[1001] Step 4:

[1002] The server sends error-free input data to the emotion engine, which analyzes the data and identifies the user's emotion from the input. For example, if the text contains keywords such as "happy" or "fun," the emotion analysis result will be determined to be "positive."

[1003] Step 5:

[1004] The server receives the analysis results from the emotion engine and sends them to the text generation engine, which then automatically generates an original script based on the scenario, characters, dialogue information, and emotion analysis results. For example, based on the emotion "fun," it generates a script containing cheerful scenes and positive dialogue.

[1005] Step 6:

[1006] The server sends the generated script to the video generation engine. The video generation engine generates animations for character movements and backgrounds based on the script, and reflects the results of emotion analysis. For example, if the emotion is "happy," the character's expression will be a smile. The generated CG animation is then sent back to the server.

[1007] Step 7:

[1008] The server synthesizes the received CG animation data to generate the final video file. This process also includes arranging each animation frame and adding audio and sound effects. The resulting video file is then encoded in the appropriate format (e.g., MP4).

[1009] Step 8:

[1010] The server sends the completed video file to the device and generates a download link for the user. The user can click this link to download and watch the original video. In addition, the user can share the generated video on social media.

[1011] Example 2

[1012] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1013] Conventional short video generation systems simply reflect the scenario and character information entered by the user, and have the problem of not being able to generate videos that fully consider the viewer's emotions. Furthermore, because the visual and audio effects are not linked to emotions, it is difficult to make an emotional impact on the viewer. This makes it difficult for users to create unique and appealing content at low cost.

[1014] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1015] In this invention, the server includes: means for a user to input information related to a specific scenario, characters, dialogue information, and emotions using a device; means for generating the input information as structured data using a terminal and sending it to the server; means for performing error checks on the received information and, if no errors are found, sending the data to an emotion engine; means for the emotion engine to analyze the emotional state and for a text generation engine to generate a script based on the results; means for creating computer graphics animation using a video generation engine based on the generated script; means for synthesizing the created animations and encoding them as a final video file; and means for providing the generated video file to the user. This makes it possible to easily generate original short videos that reflect the emotions input by the user and appeal to the viewers' emotions.

[1016] "User" refers to an individual or organization that uses the system to input scenarios, characters, dialogue information, and emotional information.

[1017] "Device" means a device through which a User accesses and inputs information into the System, including hardware such as a smartphone, computer, or tablet.

[1018] "Scenario" refers to the text information that makes up the content and storyline of a video. The scenario entered by the user determines the overall theme and flow of the video.

[1019] "Characters" refers to the characters depicted in the scenario, including their names, personalities, roles, etc.

[1020] "Dialogue information" refers to the words and dialogue spoken by characters within a scenario.

[1021] "Emotional information" refers to the emotional state related to the scenario and the actions of the characters. Emotional information affects the direction of the video and the facial expressions of the characters.

[1022] A "terminal" is a device used by a user that generates information as structured data and sends it to a server.

[1023] "Structured data" refers to information entered by a user that has been converted into a specific format (e.g., JSON) that can be processed efficiently within a system.

[1024] "Server" refers to the computer system that receives and processes data sent by users, including error checking, sentiment analysis, script generation, and animation creation.

[1025] An "emotion engine" is software that analyzes emotional states based on input data and is responsible for generating emotion analysis results.

[1026] "Text generation engine" refers to software that generates original scripts based on the results of sentiment analysis.

[1027] A "video generation engine" refers to software that creates animations of character movements and backgrounds based on a generated script.

[1028] "Computer graphics animation" refers to the animation of character movements and backgrounds generated by an image generation engine.

[1029] "Final video file" refers to the completed video created by combining multiple animation scenes and adding sound effects, etc.

[1030] "Audio effects" refers to the audio and sound effects used in the video, including character dialogue and background sounds.

[1031] "Encoding" refers to the process of converting the generated video file into the optimal format (e.g. MP4).

[1032] "Providing" means making the generated video file available for download to users.

[1033] The system of the present invention allows users to easily create original short videos that reflect their emotions. A specific embodiment of this system will be described in detail below.

[1034] 1. User Input Processing

[1035] A user uses a device (e.g., a smartphone or computer) to open a web interface or mobile app to access the system. This interface displays input fields related to the scenario, characters, dialogue, and emotions. The user enters the required information into these fields and presses the "Submit" button. The input information is then generated as structured data.

[1036] example:

[1037] Scenario: Fun Adventure

[1038] Characters: Alice, Bob

[1039] Quote: Hello! What a great day today!

[1040] Emotion: Happy

[1041] 2. Transmission of information

[1042] The device sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received information and checks the input data for errors. If there are any omissions or errors, the server returns an error message to the device and prompts the user to correct them.

[1043] 3. Emotion analysis

[1044] The server sends the data that passes the error check to the emotion engine, which analyzes the user's input data (e.g., words in the text, entered emotion tags, etc.) and identifies the user's emotional state. Based on this, it sends the analysis results back to the server.

[1045] 4. Script Generation Using Text Generation AI

[1046] The server sends the emotion analysis results to a text generation engine, which generates an original script based on the received scenario, characters, dialogue information, and emotion data. The generated script is a document that describes in detail the progression of the scenario, character actions, dialogue, etc.

[1047] 5. Launching the CG animation generation AI

[1048] The server sends the generated script to the video generation engine. The video generation engine generates animation for the character movements and background based on the script, and sends the generated CG animation back to the server. Because the analysis results of the emotion engine are incorporated, the character's facial expressions and movements also change according to the analysis results.

[1049] 6. Generating video files

[1050] The server composites the received CG animations to generate the final video file, including placing each animation frame on a timeline and adding sound effects, and encoding it in the appropriate format (e.g. MP4).

[1051] 7. Providing videos to users

[1052] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download and save the original video. The generated video can also be shared on social media.

[1053] The system allows users to easily generate visually and emotionally compelling short videos at low cost using robust technology.

[1054] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1055] Step 1:

[1056] The user opens a dedicated web interface or mobile app using a device (e.g., a smartphone or computer). The user enters the scenario, characters, dialogue information, and emotion information into the input fields of the interface and presses the "Submit" button. The input is scenario: "A fun adventure", characters: "Alice, Bob", dialogue: "Hello! It's a great day today!", emotion: "Fun". The output is converted from this input information into structured data in JSON format.

[1057] Step 2:

[1058] The terminal sends the generated structured data to the server via the HTTPS protocol. Specifically, the structured data (e.g., JSON) is sent as a POST request to the endpoint. The input is the JSON data generated in step 1, and the output is received by the server.

[1059] Step 3:

[1060] The server analyzes the received JSON data and performs error checks to ensure each item has been entered correctly. Specifically, it checks whether there are any missing fields and whether the data format is correct. The input is the JSON data sent from the terminal, and the output is that if there are no errors, it proceeds to the next processing step, and if there are errors, it generates an error message and sends it back to the terminal.

[1061] Step 4:

[1062] The server sends the error-free structured data to the emotion engine, which analyzes the text data and identifies the emotional state. Specifically, it uses natural language processing to analyze keywords in the text and identify emotions such as "fun." The input is error-free structured data, and the output is the emotion analysis results.

[1063] Step 5:

[1064] The server sends the emotion analysis results to a text generation engine. The text generation engine generates an original script based on the emotion analysis results and the scenario, characters, and dialogue information entered by the user. Specifically, it uses a generative AI model to create a script while maintaining the consistency of the story. The inputs are the emotion analysis results and the user's input data, and the generated script is returned as the output.

[1065] Step 6:

[1066] The server sends the generated script to the video generation engine, which generates animations of character movements and backgrounds based on the contents of the script. Specifically, it creates animation for each scene and reflects the results of emotion analysis in the characters' expressions and movements. The input is the generated script and the results of emotion analysis, and the output is CG animation.

[1067] Step 7:

[1068] The server composites the received CG animation to generate the final video file. Specifically, it places each animation frame on a timeline, adds audio effects, and encodes it in the appropriate format (e.g., MP4). The input is the CG animation data and the necessary audio effect files, and the output is the final video file.

[1069] Step 8:

[1070] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download the original video, save it, or share it on social media. The input is the generated video file, and the output is a download link provided to the user.

[1071] (Application example 2)

[1072] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1073] While conventional video generation systems can generate scripts and animations based on user input, it is difficult to automatically generate content that reflects the user's emotions. Furthermore, when using generated content in virtual events, it is not possible to properly reflect the character's movements, facial expressions, and audio effects according to the user's emotions. This requires users to manually edit the content to improve its quality, which takes time and effort.

[1074] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1075] In this invention, the server includes means for analyzing the emotional state using an emotion engine, means for generating a script using a text generation engine based on the emotion analysis results and input information, and means for controlling the movements and facial expressions of characters based on the generated script and the emotion analysis results. This makes it possible to automatically generate original short videos that reflect the user's emotions and use them in virtual events using smart devices.

[1076] "User" means any person or entity that uses the System.

[1077] "Device" refers to the terminal equipment through which the user makes input, including smartphones, computers, head-mounted displays, etc.

[1078] A "scenario" is the story or scene setting that serves as the basis for generating the video.

[1079] "Characters" refer to people, animals, fictional beings, etc. that appear in the video.

[1080] "Dialogue information" refers to the words and lines spoken by characters.

[1081] "Emotion-related information" refers to tags or keywords that indicate the user's emotional state.

[1082] "Structured data" refers to information entered by a user that is organized in a certain format, such as the JSON format.

[1083] A "server" is a computer system that receives structured data sent by a user and performs analysis and generation processing.

[1084] An "emotion engine" is software that analyzes emotion-related information entered by a user and identifies that user's emotional state.

[1085] "Emotion analysis results" refers to the data output as a result of analysis by the emotion engine.

[1086] A "text generation engine" is software that generates original scripts based on the results of sentiment analysis and user input data.

[1087] A "script" is a piece of text that details the progression of the scenario, the actions of the characters, the lines, etc.

[1088] A "video generation engine" is software for creating computer graphics animation based on a generated script.

[1089] "Computer graphics animation" refers to animated images generated using a computer.

[1090] A "moving image file" is a file in which the generated animation image is saved.

[1091] "Audio file" refers to audio data specified by the user.

[1092] "Sound effects" are sounds added to emphasize a character's emotion or the atmosphere of a scene.

[1093] The system of the present invention generates original short videos based on the scenario, characters, dialogue information, and emotional information entered by the user. The following describes the specific procedures and necessary hardware and software for implementing this system.

[1094] First, the user accesses the system using a device such as a smartphone or a head-mounted display (HMD). The user enters information related to the scenario, characters, lines, and emotions into a dedicated interface. For example, if a user is creating a scenario based on the theme of "a friend's birthday event" and wants to set the emotion as "fun," they would enter the following:

[1095] Scenario: A party scene celebrating a friend's birthday

[1096] Characters: Protagonist, Friend A, Friend B

[1097] Quotes: "Happy Birthday!", "Let's all have fun!"

[1098] Emotion: Happy

[1099] These inputs are then sent to a server as structured data in JSON format, where the server analyzes the data and first identifies the emotional state using an emotion engine, which can be the IBM Watson Tone Analyzer.

[1100] After obtaining the sentiment analysis results, the server uses the text generation engine GPT-4 to generate a script, which is created based on the scenario, characters, dialogue information entered by the user, and the sentiment analysis results.

[1101] The generated script is incredibly detailed, describing scene progression, character movements, lines, etc. For example, if the emotion is "happy," the character's movements and facial expressions will reflect that cheerfulness.

[1102] The server then sends the generated script to a video generation engine such as Unreal Engine to create computer graphics animation, where the character's movements and expressions are reflected based on the results of emotion analysis.

[1103] Finally, the generated animations are composited to generate the final video file. The video file is encoded in the appropriate format (e.g., MP4) and provided to the user's device as a download link. Using this link, the user can download and save the video. Additionally, the generated video can be shared on social media.

[1104] This invention allows users to easily create original, emotive short videos, adding more charm and personality to virtual events.

[1105] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1106] Step 1:

[1107] Users access the system using a device (e.g., a smartphone or a head-mounted display). They input information related to the scenario, characters, lines, and emotions into a dedicated interface. This information is entered in the form of scenario, character, line, and emotion tags. Then, when they press the "Submit" button, the input information is generated as structured data in JSON format.

[1108] Input: User-entered scenario, characters, lines, and emotional information

[1109] Output: Structured data in JSON format

[1110] Step 2:

[1111] The device sends the generated structured data in JSON format to the server using the HTTPS protocol. The server first parses the received data and checks for errors. If there are any missing or incorrect information, the server returns an error message to the device and prompts the user to correct the error.

[1112] Input: Structured data (JSON format)

[1113] Output: Check the data contents, intermediate data

[1114] Step 3:

[1115] The server sends error-free structured data to the emotion engine, which analyzes the emotional state from the input information. The emotion engine uses the IBM Watson Tone Analyzer. The analysis results in emotional tags and scores.

[1116] Input: Error-free structured data

[1117] Output: Sentiment analysis results (emotion tags and scores)

[1118] Step 4:

[1119] The server sends the emotion analysis results obtained from the emotion engine to a text generation engine (e.g., GPT-4), which generates a script based on the user's input and the emotion analysis results. The text generation engine combines the scenario, characters, dialogue, and emotion tags to generate a new script.

[1120] Input: Emotion analysis results, scenario, characters, dialogue information

[1121] Output: Generated script

[1122] Step 5:

[1123] The server then sends the generated script to a video generation engine (e.g., Unreal Engine) to create a computer graphics animation, which incorporates the results of emotion analysis and appropriately sets the character's movements and facial expressions.

[1124] Input: Generated script

[1125] Output: Computer Graphics Animation

[1126] Step 6:

[1127] The server places the generated computer graphics animation on a timeline and generates the final video file, including the placement of each animation frame and adding sound effects, which is then encoded in the appropriate format (e.g. MP4).

[1128] Input: Computer Graphics Animation

[1129] Output: Final video file

[1130] Step 7:

[1131] The server sends the final video file to the user's device and generates a download link, which the user can use to download and save the original video. The generated video can also be shared on social media.

[1132] Input: Final video file

[1133] Output: Download link, shareable video file

[1134] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1135] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1136] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1137] [Fourth embodiment]

[1138] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1139] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1140] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1141] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1142] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1143] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1144] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1145] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1146] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1147] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1148] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1149] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1150] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1151] The system of this invention is designed to realize a series of processes in which a user inputs specific scenario, character, and dialogue information and generates an original short video based on that information. The following describes in detail an embodiment of this system.

[1152] 1. User Input Processing

[1153] A user opens a dedicated web interface or mobile app on a device (e.g., a smartphone or computer). The interface displays input fields for the scenario, characters, dialogue, etc. The user fills in the information in each field based on the story they envision, and when they are done, they press the "Submit" button. This operation generates the input information as structured data (e.g., in JSON format).

[1154] 2. Transmission of information

[1155] The device securely sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received data and checks whether there are any omissions or errors in the input data. If there are any errors, it returns an error message to the device and prompts the user to correct them. If there are no errors, it proceeds to the next process.

[1156] 3. Script generation using text generation AI

[1157] The server sends error-free input data to a text generation engine (for example, various generative AI technologies). The text generation engine analyzes the received data and generates an original script based on the scenario, characters, lines, etc. The generated script is a sentence that describes in detail the progression of the story, the actions of the characters, the lines, etc. For example, in a family picnic scenario, detailed scenes such as "Dad plays badminton, Mom spreads out her lunch, and the child says, 'This is fun!'" are generated. The server receives this generated script and proceeds to the next step.

[1158] 4. Launching the CG animation generation AI

[1159] The server then sends the generated script to a video generation engine (e.g., various CG animation generation technologies). The video generation engine generates the movements of the characters and background scenes based on the contents of the script. This includes modeling the character's movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[1160] 5. Generate video files

[1161] The server combines the received CG animations to generate the final video file. This process involves placing each animation frame on the appropriate timeline and adding audio and sound effects. The resulting video file is encoded in a common format (e.g., MP4). For example, a picnic scene video might include scenes of dad playing badminton, mom opening her lunch, and the child saying, "This is fun!"

[1162] 6. Providing videos to users

[1163] The server sends the completed video file to the device and generates a download link. Users can use the link to download and save their original video. Users can also watch the generated video and share it on social media.

[1164] In this way, a specific form of system can be implemented that links a text generation engine and a video generation engine based on information such as the scenario, characters, and lines entered by the user, and ultimately generates and provides an original short video.

[1165] The processing flow will be explained below.

[1166] Step 1:

[1167] The user opens a dedicated web interface or mobile app on their device. The interface displays input fields for the scenario, characters, lines, etc. The user enters the required information in those fields and presses the "Submit" button.

[1168] Step 2:

[1169] The device generates user input as structured data, such as JSON, and sends the data to the server using the HTTPS protocol.

[1170] Step 3:

[1171] The server parses the received JSON data and checks whether there are any omissions or errors in the input data. If there are any omissions or errors, the server returns an error message to the terminal and prompts the user to correct them.

[1172] Step 4:

[1173] The server sends error-free input data to the text generation engine, which automatically generates an original script based on the scenario, characters, and dialogue information. The generated script is then sent back to the server.

[1174] Step 5:

[1175] The server sends the generated script to the video generation engine, which automatically generates animations for character movements and backgrounds based on the script, and sends the generated CG animations back to the server.

[1176] Step 6:

[1177] The server synthesizes the received CG animation data to generate the final video file, and encodes the video file into the appropriate format (e.g. MP4).

[1178] Step 7:

[1179] The server sends the generated video file to the user's device and generates a download link, which the user can click to download and watch the original video.

[1180] Step 8:

[1181] Users can share the videos they create on social media, allowing individual users to easily create and enjoy original short videos at low cost.

[1182] Example 1

[1183] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1184] Today, there is a demand for systems that allow users to easily create original short videos. However, conventional methods require a great deal of time and effort for video production, and the quality of the generated content is inconsistent. Furthermore, there is also the issue that the scenario and character information entered by the user are not accurately reflected, resulting in the expected results. To solve these issues, a system is needed that can automatically generate high-quality scripts based on user input and then create highly accurate CG animations based on them.

[1185] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1186] In this invention, the server includes: means for a user to input specific scenario, character, and dialogue information using a device; means for converting the input information into structured data; means for securely transmitting the structured data to the server using the HTTPS protocol; means for checking whether the received information is missing or has errors; means for generating an original script using a generative AI model based on the received information; means for creating animation using a computer graphics engine based on the generated script; means for combining the animation to generate a final video file; means for encoding the generated video file in a common format; and means for providing the generated video file to the user. This allows users to easily generate high-quality original short videos and obtain the content they expect.

[1187] "User" refers to the entity that uses the system to input specific scenario, character, and dialogue information.

[1188] A "device" is any device a user uses to enter information, including a smartphone or computer.

[1189] A "scenario" is a detailed plan or plot that outlines the development and setting of a story.

[1190] A "character" is a character or entity that has a specific role within a story.

[1191] "Dialogue" refers to the words spoken by characters within a story.

[1192] "Structured data" refers to data that is organized in a specific format (e.g., JSON format).

[1193] "HTTPS protocol" refers to a protocol for securely transmitting data.

[1194] "Server" refers to a computer system for analyzing and processing information received from users.

[1195] "Generative AI model" refers to algorithms or software that use artificial intelligence to generate text or data.

[1196] A "script" refers to a detailed piece of writing created based on the generated scenario, characters, and dialogue.

[1197] A "computer graphics engine" refers to software that generates animation and video based on a script.

[1198] "Animation" refers to a video format that expresses movement by displaying a series of images.

[1199] A "video file" refers to an animation generated by a computer graphics engine compiled into a single file format (e.g., MP4 format).

[1200] "Encoding" refers to the process of converting data into a particular format.

[1201] The system of this invention realizes a series of processes that allow a user to input specific scenario, character, and dialogue information and generate an original short video based on that information. The following describes in detail an embodiment of this system.

[1202] Hardware and Software Configuration

[1203] The system begins when a user opens a web interface or mobile app on a device (e.g., a smartphone or computer), and the server side of the system is built using a server-side language such as Python or Node.js.

[1204] Device: Users use a smartphone or computer to access a dedicated web interface or mobile app.

[1205] Web interface: The web page or app screen displayed on a device, created using HTML, CSS, and JavaScript.

[1206] Server: A cloud server or dedicated server is used to receive and process requests from users.

[1207] Structured data: The scenario, character, and dialogue information entered by the user is sent to the server in JSON format.

[1208] Generative AI models, such as OpenAI's GPT-4, are used to generate scripts.

[1209] Computer graphics engine: For example, Blender or Unity is used to generate CG animation.

[1210] HTTPS protocol: A protocol for securely transmitting user data to a server.

[1211] Program processing description

[1212] User Input Processing

[1213] Users open the device's web interface or mobile app and fill in the fields for the scenario, characters, and dialogue. For example, if a user wants to create a "family picnic scenario," they would enter the following information:

[1214] Scenario: On a warm spring day, a family has a picnic.

[1215] Characters: Dad, Mom, and Kids

[1216] Dialogue: Kid: "This is fun!", Dad: "Let's play some more!", Mom: "I'll open my lunch box."

[1217] By pressing the submit button, the information is generated as structured data.

[1218] Sending information

[1219] The device sends the generated structured data to the server via the HTTPS protocol. The server parses the received data and checks whether there are any errors in the input data. If there are any errors, it returns an error message to the device and prompts the user to correct them. If there are no errors, it proceeds to the next step.

[1220] Script generation using text generation AI

[1221] The server sends error-free input data to the generative AI model, which analyzes the received data and generates an original script based on the scenario, characters, and dialogue information. For example, the script might include detailed scenes such as "Dad plays badminton, Mom unpacks her lunch, and the child says, 'This is fun!'"

[1222] CG animation generation

[1223] The server sends the generated script to a computer graphics engine, which models and renders the character movements and background scenes. This process generates animation for each scene and sends the data back to the server.

[1224] Generating a video file

[1225] The server combines the received CG animations to generate the final video file. Each animation frame is placed on the appropriate timeline, and audio and sound effects are added. The resulting video file is encoded in a common format, such as MP4.

[1226] Provision to users

[1227] The server sends the completed video file to the device and generates a download link, which the user can use to download and save the original video. The generated video can also be viewed or shared on social media.

[1228] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1229] Step 1:

[1230] The user uses the device to input specific scenario, character, and dialogue information. The user accesses a web interface or mobile app on their smartphone or computer and inputs the following information:

[1231] input:

[1232] Scenario: "A family is having a picnic on a warm spring day."

[1233] Characters: "Dad, Mom, Kids"

[1234] Dialogue: "Kid: 'This is fun!' Dad: 'Let's play some more!' Mom: 'I'll pack my lunch.'"

[1235] output:

[1236] Structured data (JSON format)

[1237] Specific behavior:

[1238] The user opens a dedicated input form in a web browser.

[1239] The user enters information into each input field and presses the "Submit" button.

[1240] This generates the entered information as structured data in JSON format.

[1241] Step 2:

[1242] The terminal transmits the generated structured data to the server using the HTTPS protocol.

[1243] input:

[1244] Structured data (JSON format)

[1245] output:

[1246] Sending data to the server

[1247] Specific behavior:

[1248] The terminal receives the JSON data generated by clicking the "Send" button.

[1249] The terminal uses the HTTPS protocol to send JSON data to the server.

[1250] Step 3:

[1251] The server analyzes the structured data it receives and checks whether there are any omissions or errors in the input data. If there are any errors, it returns an error message to the terminal and prompts the user to correct them.

[1252] input:

[1253] Structured data (JSON format)

[1254] output:

[1255] Error messages or data for further processing

[1256] Specific behavior:

[1257] The server parses the received JSON data and validates the data in each input field.

[1258] If there is a shortage or error as a result of the error check, an error message is sent to the terminal.

[1259] The user is shown the error and prompted to correct it.

[1260] Step 4:

[1261] The server generates an original script using a generative AI model based on error-free input data.

[1262] input:

[1263] Error-checked structured data (JSON format)

[1264] output:

[1265] Generated script (text format)

[1266] Specific behavior:

[1267] The server sends the error-checked JSON data to the generative AI model.

[1268] The generative AI model analyzes scenario, character, and dialogue information to generate a script.

[1269] The generated script is sent back to the server.

[1270] Step 5:

[1271] The server creates animation using a computer graphics engine based on the generated script.

[1272] input:

[1273] Generated script (text format)

[1274] output:

[1275] CG animation data

[1276] Specific behavior:

[1277] The server sends the generated script to a computer graphics engine.

[1278] The engine models and renders character movements and background scenes.

[1279] Animation is created for each scene and sent back to the server as CG animation data.

[1280] Step 6:

[1281] The server combines the received CG animations to generate the final video file.

[1282] input:

[1283] CG animation data

[1284] output:

[1285] Final video file (e.g. MP4 format)

[1286] Specific behavior:

[1287] The server analyzes the received CG animation data and places it on the timeline.

[1288] Add audio files and sound effects to the timeline and compile your video.

[1289] Encode the final video file in MP4 format or similar.

[1290] Step 7:

[1291] The server sends the completed video file to the device and generates a download link.

[1292] input:

[1293] Final video file (e.g. MP4 format)

[1294] output:

[1295] Download link

[1296] Specific behavior:

[1297] The server uploads the video file to cloud storage or the like and generates a link.

[1298] The generated download link is sent to the device.

[1299] The user uses the link to download and save the video file.

[1300] This allows users to easily create, watch, and share high-quality original videos based on their own creations.

[1301] (Application example 1)

[1302] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1303] There is a growing demand for users to easily create original short videos and view and share them on social media and content distribution services, but conventional technologies require specialized knowledge and tools, making them difficult for average users to use. Therefore, there is a need for a system that allows users to simply input scenario, character, and dialogue information, automatically generate high-quality original videos, and share them.

[1304] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1305] In this invention, the server includes means for a user to input specific scenario, character, and dialogue information using a device, means for transmitting the input information to the server, means for generating a script using a text generation engine based on the received information, means for creating computer graphics animation using a video generation engine based on the generated script, means for combining the created animations to generate a final video file, means for providing the generated video file to the user, and means for generating and providing a download link for the generated video file to the user. This enables users to easily create original short videos and share them on social media or content distribution services.

[1306] A "scenario" is information that shows the outline and progression of a story or a story.

[1307] A "character" is a person or animal that appears in a story and plays a role.

[1308] "Dialogue" refers to the words and expressions spoken by a character.

[1309] A "device" is an electronic device that a user uses to input information, including a smartphone, computer, etc.

[1310] A "server" is a computer system that receives and processes information sent by users.

[1311] A "text generation engine" is software or algorithms that generate sentences or scripts based on input scenario and character information.

[1312] A "video generation engine" is software or algorithms that create computer graphics animations, including character movements and background scenes, based on a generated script.

[1313] "Computer graphics animation" refers to video that includes computer-generated character and background movements.

[1314] "Video File" means a completed animation in a single file format, encoded in a common format (e.g. MP4).

[1315] "Download link" means a link that allows a user to download the generated video file via the Internet.

[1316] The system that realizes this application example allows users to input specific scenario, character, and dialogue information using a device, and then generates an original short video based on that information. Specifically, the system operates in the following steps:

[1317] First, a user opens a dedicated web interface or mobile app using a device such as a smartphone or computer. This interface displays input fields for the scenario, characters, dialogue, etc. The user fills in each field based on the story they envision, and when they are done, they press the "Submit" button. This action generates the input information as structured data (for example, in JSON format) and sends it to the server.

[1318] The server analyzes the received structured data using the HTTPS protocol and checks for omissions or errors. If an error is found, it returns an error message to the device and prompts the user to correct it. If no errors are found, it proceeds to the next step.

[1319] The server sends the received data to a text generation engine (e.g., OpenAI GPT-3), which generates an original script based on the scenario, characters, dialogue, etc. This text generation engine uses a generative AI model to create a detailed story and dialogue. For example, a family picnic scenario might include content such as "Dad plays badminton, Mom spreads out her lunch, and the child says, 'This is fun!'"

[1320] The generated script is received by the server and then sent to an image generation engine (e.g., Renderforest, Blender API). This image generation engine generates the movements of the characters and background scenes based on the contents of the generated script. This process includes modeling the character movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[1321] The server combines the received CG animations to generate the final video file. At this stage, each animation frame is placed on the appropriate timeline, and audio and sound effects can also be added. The generated video file is encoded in a common format (e.g., MP4). A download link is generated for the completed video file so that users can download it. Users can use the link to download, save, and watch their original video.

[1322] Examples of concrete examples and prompts

[1323] Let's say a user wants to create a Christmas story. Here's the data they input:

[1324] Scenario: "A family gathering on Christmas Eve"

[1325] Characters: "Dad, Mom, Kids"

[1326] Quotes: "Dad: 'Merry Christmas!', Mom: 'I'm ready', Kid: 'I wonder if Santa's coming?'"

[1327] An example prompt is:

[1328] Scenario: Family gathering on Christmas Eve

[1329] Characters: Dad, Mom, Child

[1330] Quotes:

[1331] Dad: Merry Christmas!

[1332] Mom: I'm ready

[1333] Child: Will Santa come?

[1334] Based on these prompts, the AI ​​will create a script and the CG animation engine will draw the scenes, completing a user-original Christmas short video. This video can also be shared on social media or content distribution services.

[1335] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1336] Step 1:

[1337] A user opens a dedicated web interface or mobile app on their device. They enter information about the scenario, characters, and lines into the input fields and press the "Submit" button. This action generates the entered information as structured data (e.g., JSON format) and sends it to the server as input data.

[1338] Step 2:

[1339] The terminal uses the HTTPS protocol to send the generated structured data to the server. The server analyzes the received data and checks for omissions or errors. If an error is found, an error message is returned to the terminal, prompting the user to correct it. The input data includes scenario, character, and dialogue information. If the analysis finds no errors, the process proceeds to the next step.

[1340] Step 3:

[1341] The server sends the input data to a text generation engine (e.g., OpenAI GPT-3). The text generation engine analyzes the input data and generates an original script based on the scenario, characters, and dialogue information. The generated script is a detailed description of the story progression, character actions, dialogue, etc. The generated script is then sent back to the server.

[1342] Step 4:

[1343] The server receives the generated script and sends it to a video generation engine (e.g., Renderforest, Blender API). The video generation engine generates the movements of the characters and background scenes based on the contents of the generated script. This process includes modeling the character movements, rendering the background, and generating animation for each scene. The generated CG animation is then sent back to the server.

[1344] Step 5:

[1345] The server combines the received CG animations to generate the final video file. At this stage, each animation frame is placed on the appropriate timeline, and audio and sound effects are added. The resulting video file is encoded in a common format (e.g., MP4). The finished video file is then stored on the server.

[1346] Step 6:

[1347] The server generates a download link for the generated video file and provides it to the user. The user can use the link to download, save, and watch their original video. In addition, the user can share the generated video on social media or content distribution services.

[1348] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1349] The system of this invention combines an emotion engine with a process for generating original short videos based on scenario, character, and dialogue information entered by the user. The following describes in detail the mode for implementing this system.

[1350] 1. User Input Processing

[1351] A user opens a dedicated web interface or mobile app on a device (e.g., a smartphone or computer). The interface displays input fields related to the scenario, characters, lines, and emotions. The user fills in these fields and presses the "Submit" button. This action generates the input information as structured data (e.g., JSON format).

[1352] 2. Transmission of information

[1353] The device sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received information and checks the input data for errors. If there are any omissions or errors, the server returns an error message to the device and prompts the user to correct them.

[1354] 3. Emotion analysis

[1355] The server first sends error-free input data to the emotion engine, which then analyzes the user's input data (e.g., words in the text, input emotion tags, etc.) to identify the user's emotional state. Based on this, the analysis results are sent to the text generation engine as reference information for script generation.

[1356] 4. Script Generation Using Text Generation AI

[1357] The server sends the emotion analysis results received from the emotion engine to the text generation engine. The text generation engine generates an original script based on the received scenario, character, dialogue information, and emotion data. The generated script is a document that describes in detail the progression of the scenario, character actions, dialogue, etc. For example, if the input data includes the emotion "fun," the script will contain many cheerful scenes and lines.

[1358] 5. Launching the CG animation generation AI

[1359] The server sends the generated script to the video generation engine. The video generation engine generates animation for the character movements and background based on the script, and sends the generated CG animation back to the server. Because the analysis results of the emotion engine are incorporated, the character's facial expressions and movements also change according to the analysis results. For example, if the emotion is "happy," the character will smile more.

[1360] 6. Generating video files

[1361] The server composites the received CG animations to generate the final video file. This process includes placing each animation frame on a timeline, adding sound effects, and encoding it in the appropriate format (e.g., MP4). The video includes direction based on the results of sentiment analysis.

[1362] 7. Providing videos to users

[1363] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download and save the original video. The generated video can also be shared on social media.

[1364] This system allows users to easily create original short videos that reflect their emotions, allowing them to enjoy unique and engaging content at low cost.

[1365] The processing flow will be explained below.

[1366] Step 1:

[1367] The user opens a dedicated web interface or mobile app on their device. The interface displays input fields related to the scenario, characters, lines, and emotions. The user fills in these fields and presses the "Submit" button.

[1368] Step 2:

[1369] The device generates structured data such as JSON based on the user's input, and sends the data to the server using the HTTPS protocol.

[1370] Step 3:

[1371] The server analyzes the received structured data and checks whether there are any omissions or errors in the input data. If there are any omissions or errors, the server returns an error message to the terminal and prompts the user to correct them.

[1372] Step 4:

[1373] The server sends error-free input data to the emotion engine, which analyzes the data and identifies the user's emotion from the input. For example, if the text contains keywords such as "happy" or "fun," the emotion analysis result will be determined to be "positive."

[1374] Step 5:

[1375] The server receives the analysis results from the emotion engine and sends them to the text generation engine, which then automatically generates an original script based on the scenario, characters, dialogue information, and emotion analysis results. For example, based on the emotion "fun," it generates a script containing cheerful scenes and positive dialogue.

[1376] Step 6:

[1377] The server sends the generated script to the video generation engine. The video generation engine generates animations for character movements and backgrounds based on the script, and reflects the results of emotion analysis. For example, if the emotion is "happy," the character's expression will be a smile. The generated CG animation is then sent back to the server.

[1378] Step 7:

[1379] The server synthesizes the received CG animation data to generate the final video file. This process also includes arranging each animation frame and adding audio and sound effects. The resulting video file is then encoded in the appropriate format (e.g., MP4).

[1380] Step 8:

[1381] The server sends the completed video file to the device and generates a download link for the user. The user can click this link to download and watch the original video. In addition, the user can share the generated video on social media.

[1382] Example 2

[1383] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1384] Conventional short video generation systems simply reflect the scenario and character information entered by the user, and have the problem of not being able to generate videos that fully consider the viewer's emotions. Furthermore, because the visual and audio effects are not linked to emotions, it is difficult to make an emotional impact on the viewer. This makes it difficult for users to create unique and appealing content at low cost.

[1385] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1386] In this invention, the server includes: means for a user to input information related to a specific scenario, characters, dialogue information, and emotions using a device; means for generating the input information as structured data using a terminal and sending it to the server; means for performing error checks on the received information and, if no errors are found, sending the data to an emotion engine; means for the emotion engine to analyze the emotional state and for a text generation engine to generate a script based on the results; means for creating computer graphics animation using a video generation engine based on the generated script; means for synthesizing the created animations and encoding them as a final video file; and means for providing the generated video file to the user. This makes it possible to easily generate original short videos that reflect the emotions input by the user and appeal to the viewers' emotions.

[1387] "User" refers to an individual or organization that uses the system to input scenarios, characters, dialogue information, and emotional information.

[1388] "Device" means a device through which a User accesses and inputs information into the System, including hardware such as a smartphone, computer, or tablet.

[1389] "Scenario" refers to the text information that makes up the content and storyline of a video. The scenario entered by the user determines the overall theme and flow of the video.

[1390] "Characters" refers to the characters depicted in the scenario, including their names, personalities, roles, etc.

[1391] "Dialogue information" refers to the words and dialogue spoken by characters within a scenario.

[1392] "Emotional information" refers to the emotional state related to the scenario and the actions of the characters. Emotional information affects the direction of the video and the facial expressions of the characters.

[1393] A "terminal" is a device used by a user that generates information as structured data and sends it to a server.

[1394] "Structured data" refers to information entered by a user that has been converted into a specific format (e.g., JSON) that can be processed efficiently within a system.

[1395] "Server" refers to the computer system that receives and processes data sent by users, including error checking, sentiment analysis, script generation, and animation creation.

[1396] An "emotion engine" is software that analyzes emotional states based on input data and is responsible for generating emotion analysis results.

[1397] "Text generation engine" refers to software that generates original scripts based on the results of sentiment analysis.

[1398] A "video generation engine" refers to software that creates animations of character movements and backgrounds based on a generated script.

[1399] "Computer graphics animation" refers to the animation of character movements and backgrounds generated by an image generation engine.

[1400] "Final video file" refers to the completed video created by combining multiple animation scenes and adding sound effects, etc.

[1401] "Audio effects" refers to the audio and sound effects used in the video, including character dialogue and background sounds.

[1402] "Encoding" refers to the process of converting the generated video file into the optimal format (e.g. MP4).

[1403] "Providing" means making the generated video file available for download to users.

[1404] The system of the present invention allows users to easily create original short videos that reflect their emotions. A specific embodiment of this system will be described in detail below.

[1405] 1. User Input Processing

[1406] A user uses a device (e.g., a smartphone or computer) to open a web interface or mobile app to access the system. This interface displays input fields related to the scenario, characters, dialogue, and emotions. The user enters the required information into these fields and presses the "Submit" button. The input information is then generated as structured data.

[1407] example:

[1408] Scenario: Fun Adventure

[1409] Characters: Alice, Bob

[1410] Quote: Hello! What a great day today!

[1411] Emotion: Happy

[1412] 2. Transmission of information

[1413] The device sends the generated structured data to the server using the HTTPS protocol. The server analyzes the received information and checks the input data for errors. If there are any omissions or errors, the server returns an error message to the device and prompts the user to correct them.

[1414] 3. Emotion analysis

[1415] The server sends the data that passes the error check to the emotion engine, which analyzes the user's input data (e.g., words in the text, entered emotion tags, etc.) and identifies the user's emotional state. Based on this, it sends the analysis results back to the server.

[1416] 4. Script Generation Using Text Generation AI

[1417] The server sends the emotion analysis results to a text generation engine, which generates an original script based on the received scenario, characters, dialogue information, and emotion data. The generated script is a document that describes in detail the progression of the scenario, character actions, dialogue, etc.

[1418] 5. Launching the CG animation generation AI

[1419] The server sends the generated script to the video generation engine. The video generation engine generates animation for the character movements and background based on the script, and sends the generated CG animation back to the server. Because the analysis results of the emotion engine are incorporated, the character's facial expressions and movements also change according to the analysis results.

[1420] 6. Generating video files

[1421] The server composites the received CG animations to generate the final video file, including placing each animation frame on a timeline and adding sound effects, and encoding it in the appropriate format (e.g. MP4).

[1422] 7. Providing videos to users

[1423] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download and save the original video. The generated video can also be shared on social media.

[1424] The system allows users to easily generate visually and emotionally compelling short videos at low cost using robust technology.

[1425] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1426] Step 1:

[1427] The user opens a dedicated web interface or mobile app using a device (e.g., a smartphone or computer). The user enters the scenario, characters, dialogue information, and emotion information into the input fields of the interface and presses the "Submit" button. The input is scenario: "A fun adventure", characters: "Alice, Bob", dialogue: "Hello! It's a great day today!", emotion: "Fun". The output is converted from this input information into structured data in JSON format.

[1428] Step 2:

[1429] The terminal sends the generated structured data to the server via the HTTPS protocol. Specifically, the structured data (e.g., JSON) is sent as a POST request to the endpoint. The input is the JSON data generated in step 1, and the output is received by the server.

[1430] Step 3:

[1431] The server analyzes the received JSON data and performs error checks to ensure each item has been entered correctly. Specifically, it checks whether there are any missing fields and whether the data format is correct. The input is the JSON data sent from the terminal, and the output is that if there are no errors, it proceeds to the next processing step, and if there are errors, it generates an error message and sends it back to the terminal.

[1432] Step 4:

[1433] The server sends the error-free structured data to the emotion engine, which analyzes the text data and identifies the emotional state. Specifically, it uses natural language processing to analyze keywords in the text and identify emotions such as "fun." The input is error-free structured data, and the output is the emotion analysis results.

[1434] Step 5:

[1435] The server sends the emotion analysis results to a text generation engine. The text generation engine generates an original script based on the emotion analysis results and the scenario, characters, and dialogue information entered by the user. Specifically, it uses a generative AI model to create a script while maintaining the consistency of the story. The inputs are the emotion analysis results and the user's input data, and the generated script is returned as the output.

[1436] Step 6:

[1437] The server sends the generated script to the video generation engine, which generates animations of character movements and backgrounds based on the contents of the script. Specifically, it creates animation for each scene and reflects the results of emotion analysis in the characters' expressions and movements. The input is the generated script and the results of emotion analysis, and the output is CG animation.

[1438] Step 7:

[1439] The server composites the received CG animation to generate the final video file. Specifically, it places each animation frame on a timeline, adds audio effects, and encodes it in the appropriate format (e.g., MP4). The input is the CG animation data and the necessary audio effect files, and the output is the final video file.

[1440] Step 8:

[1441] The server sends the generated video file to the user's device and generates a download link. The user can use the link to download the original video, save it, or share it on social media. The input is the generated video file, and the output is a download link provided to the user.

[1442] (Application example 2)

[1443] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1444] While conventional video generation systems can generate scripts and animations based on user input, it is difficult to automatically generate content that reflects the user's emotions. Furthermore, when using generated content in virtual events, it is not possible to properly reflect the character's movements, facial expressions, and audio effects according to the user's emotions. This requires users to manually edit the content to improve its quality, which takes time and effort.

[1445] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1446] In this invention, the server includes means for analyzing the emotional state using an emotion engine, means for generating a script using a text generation engine based on the emotion analysis results and input information, and means for controlling the movements and facial expressions of characters based on the generated script and the emotion analysis results. This makes it possible to automatically generate original short videos that reflect the user's emotions and use them in virtual events using smart devices.

[1447] "User" means any person or entity that uses the System.

[1448] "Device" refers to the terminal equipment through which the user makes input, including smartphones, computers, head-mounted displays, etc.

[1449] A "scenario" is the story or scene setting that serves as the basis for generating the video.

[1450] "Characters" refer to people, animals, fictional beings, etc. that appear in the video.

[1451] "Dialogue information" refers to the words and lines spoken by characters.

[1452] "Emotion-related information" refers to tags or keywords that indicate the user's emotional state.

[1453] "Structured data" refers to information entered by a user that is organized in a certain format, such as the JSON format.

[1454] A "server" is a computer system that receives structured data sent by a user and performs analysis and generation processing.

[1455] An "emotion engine" is software that analyzes emotion-related information entered by a user and identifies that user's emotional state.

[1456] "Emotion analysis results" refers to the data output as a result of analysis by the emotion engine.

[1457] A "text generation engine" is software that generates original scripts based on the results of sentiment analysis and user input data.

[1458] A "script" is a piece of text that details the progression of the scenario, the actions of the characters, the lines, etc.

[1459] A "video generation engine" is software for creating computer graphics animation based on a generated script.

[1460] "Computer graphics animation" refers to animated images generated using a computer.

[1461] A "moving image file" is a file in which the generated animation image is saved.

[1462] "Audio file" refers to audio data specified by the user.

[1463] "Sound effects" are sounds added to emphasize a character's emotion or the atmosphere of a scene.

[1464] The system of the present invention generates original short videos based on the scenario, characters, dialogue information, and emotional information entered by the user. The following describes the specific procedures and necessary hardware and software for implementing this system.

[1465] First, the user accesses the system using a device such as a smartphone or a head-mounted display (HMD). The user enters information related to the scenario, characters, lines, and emotions into a dedicated interface. For example, if a user is creating a scenario based on the theme of "a friend's birthday event" and wants to set the emotion as "fun," they would enter the following:

[1466] Scenario: A party scene celebrating a friend's birthday

[1467] Characters: Protagonist, Friend A, Friend B

[1468] Quotes: "Happy Birthday!", "Let's all have fun!"

[1469] Emotion: Happy

[1470] These inputs are then sent to a server as structured data in JSON format, where the server analyzes the data and first identifies the emotional state using an emotion engine, which can be the IBM Watson Tone Analyzer.

[1471] After obtaining the sentiment analysis results, the server uses the text generation engine GPT-4 to generate a script, which is created based on the scenario, characters, dialogue information entered by the user, and the sentiment analysis results.

[1472] The generated script is incredibly detailed, describing scene progression, character movements, lines, etc. For example, if the emotion is "happy," the character's movements and facial expressions will reflect that cheerfulness.

[1473] The server then sends the generated script to a video generation engine such as Unreal Engine to create computer graphics animation, where the character's movements and expressions are reflected based on the results of emotion analysis.

[1474] Finally, the generated animations are composited to generate the final video file. The video file is encoded in the appropriate format (e.g., MP4) and provided to the user's device as a download link. Using this link, the user can download and save the video. Additionally, the generated video can be shared on social media.

[1475] This invention allows users to easily create original, emotive short videos, adding more charm and personality to virtual events.

[1476] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1477] Step 1:

[1478] Users access the system using a device (e.g., a smartphone or a head-mounted display). They input information related to the scenario, characters, lines, and emotions into a dedicated interface. This information is entered in the form of scenario, character, line, and emotion tags. Then, when they press the "Submit" button, the input information is generated as structured data in JSON format.

[1479] Input: User-entered scenario, characters, lines, and emotional information

[1480] Output: Structured data in JSON format

[1481] Step 2:

[1482] The device sends the generated structured data in JSON format to the server using the HTTPS protocol. The server first parses the received data and checks for errors. If there are any missing or incorrect information, the server returns an error message to the device and prompts the user to correct the error.

[1483] Input: Structured data (JSON format)

[1484] Output: Check the data contents, intermediate data

[1485] Step 3:

[1486] The server sends error-free structured data to the emotion engine, which analyzes the emotional state from the input information. The emotion engine uses the IBM Watson Tone Analyzer. The analysis results in emotional tags and scores.

[1487] Input: Error-free structured data

[1488] Output: Sentiment analysis results (emotion tags and scores)

[1489] Step 4:

[1490] The server sends the emotion analysis results obtained from the emotion engine to a text generation engine (e.g., GPT-4), which generates a script based on the user's input and the emotion analysis results. The text generation engine combines the scenario, characters, dialogue, and emotion tags to generate a new script.

[1491] Input: Emotion analysis results, scenario, characters, dialogue information

[1492] Output: Generated script

[1493] Step 5:

[1494] The server then sends the generated script to a video generation engine (e.g., Unreal Engine) to create a computer graphics animation, which incorporates the results of emotion analysis and appropriately sets the character's movements and facial expressions.

[1495] Input: Generated script

[1496] Output: Computer Graphics Animation

[1497] Step 6:

[1498] The server places the generated computer graphics animation on a timeline and generates the final video file, including the placement of each animation frame and adding sound effects, which is then encoded in the appropriate format (e.g. MP4).

[1499] Input: Computer Graphics Animation

[1500] Output: Final video file

[1501] Step 7:

[1502] The server sends the final video file to the user's device and generates a download link, which the user can use to download and save the original video. The generated video can also be shared on social media.

[1503] Input: Final video file

[1504] Output: Download link, shareable video file

[1505] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1506] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1507] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1508] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1509] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1510] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1511] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1512] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1513] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1514] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1515] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1516] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1517] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1518] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1519] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1520] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1521] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1522] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1523] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1524] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1525] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1526] The following is further disclosed regarding the above embodiment.

[1527] (Claim 1)

[1528] A means for the user to input specific scenario, character, and dialogue information using the device;

[1529] means for transmitting the input information to a server;

[1530] means for generating a screenplay using a text generation engine based on the received information;

[1531] a means for creating a computer graphics animation using a video generation engine based on the generated script;

[1532] A means to combine the created animations to generate the final video file,

[1533] a means for providing the generated video file to the user;

[1534] A system including:

[1535] (Claim 2)

[1536] 10. The system of claim 1, further comprising means for controlling character movement based on the generated script.

[1537] (Claim 3)

[1538] 10. The system of claim 1, further comprising means for adding a user-specified audio file to the generated video.

[1539] "Example 1"

[1540] (Claim 1)

[1541] A means for the user to input specific scenario, character, and dialogue information using the device;

[1542] A means for converting input information into structured data;

[1543] A means for securely transmitting structured data to a server using the HTTPS protocol;

[1544] a means of checking the received information for omissions or errors;

[1545] a means for generating an original script using a generative AI model based on the received information;

[1546] a means for creating animation using a computer graphics engine based on the generated script;

[1547] A way to combine animations to generate a final video file,

[1548] A means to encode the resulting video file in a common format;

[1549] a means for providing the generated video file to the user;

[1550] A system including:

[1551] (Claim 2)

[1552] 10. The system of claim 1, further comprising means for modeling and rendering character actions and background scenes based on the generated script.

[1553] (Claim 3)

[1554] 10. The system of claim 1, further comprising means for adding user-specified audio files and sound effects to the generated video.

[1555] "Application Example 1"

[1556] (Claim 1)

[1557] A means for the user to input specific scenario, character, and dialogue information using the device;

[1558] means for transmitting the input information to a server;

[1559] means for generating a screenplay using a text generation engine based on the received information;

[1560] a means for creating a computer graphics animation using a video generation engine based on the generated script;

[1561] A means to combine the created animations to generate the final video file,

[1562] a means for providing the generated video file to the user;

[1563] A means for generating and providing a download link for the generated video file to the user;

[1564] A system including:

[1565] (Claim 2)

[1566] 10. The system of claim 1, further comprising means for controlling character movement based on the generated script.

[1567] (Claim 3)

[1568] 10. The system of claim 1, further comprising means for adding a user-specified audio file to the generated video.

[1569] "Example 2: Combining Emotion Engines"

[1570] (Claim 1)

[1571] means for a user to use the device to input information relating to a particular scenario, characters, dialogue information and emotions;

[1572] means for generating input information as structured data by a terminal and transmitting the structured data to a server;

[1573] means for checking the received information for errors and, if no errors are found, transmitting the data to the emotion engine;

[1574] A means for the emotion engine to analyze the emotional state and a text generation engine to generate a script based on the analysis result;

[1575] a means for creating a computer graphics animation using a video generation engine based on the generated script;

[1576] A means to composite the created animations and encode them into a final video file,

[1577] a means for providing the generated video file to the user;

[1578] A system including:

[1579] (Claim 2)

[1580] 10. The system according to claim 1, further comprising means for controlling the actions of characters based on the generated script in accordance with the emotion analysis results.

[1581] (Claim 3)

[1582] 10. The system of claim 1, further comprising means for adding a user-specified sound effects file to the generated video.

[1583] "Application example 2 when combining emotion engines"

[1584] (Claim 1)

[1585] a means for a user to input information relating to a particular scenario, character, dialogue information, and emotion using the device;

[1586] means for transmitting input information to a server as structured data;

[1587] means for analyzing an emotional state based on the received information using an emotion engine;

[1588] A means for generating a script using a text generation engine based on the sentiment analysis result and the input information;

[1589] a means for creating a computer graphics animation using a video generation engine based on the generated script;

[1590] A means to generate the final video file based on the created animation,

[1591] a means for providing the generated video file to the user;

[1592] A system including:

[1593] (Claim 2)

[1594] 10. The system according to claim 1, further comprising means for controlling the character's movements and facial expressions based on the generated script and emotion analysis results.

[1595] (Claim 3)

[1596] 10. The system of claim 1, further comprising means for adding user-specified audio files and emotional sound effects to the generated video. [Explanation of symbols]

[1597] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for the user to input specific scenario, character, and dialogue information using the device; means for transmitting the input information to a server; means for generating a screenplay using a text generation engine based on the received information; a means for creating a computer graphics animation using a video generation engine based on the generated script; A means to combine the created animations to generate the final video file, a means for providing the generated video file to the user; A system including:

2. 10. The system of claim 1, further comprising means for controlling the movement of the character based on the generated script.

3. 10. The system of claim 1, further comprising means for adding a user-specified audio file to the generated video.

Images