system

Abstract

A system is provided.SOLUTION: This system is provided with a means for allowing a user to input a situation, characters and lines, a server means for receiving inputted data, a text generating means for generating an original script based on the received data, a video generating means for generating CG animation based on the generated script, and a means for providing the generated animation 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] Currently, individual users need specialized skills and a high cost to easily create original short videos. While there is a growing demand for original content to express individuality on social media, the difficulty of producing such content is a barrier. To solve this problem, a system is needed that allows anyone to easily create high-quality original videos. [Means for solving the problem]

[0005] This invention provides a system that provides a means for individual users to input situations, characters, and lines, and then collects this information via a server that receives it. It also uses a text generation means to generate an original script based on the received data. It also uses a video generation means to generate CG animation based on the generated script, and provides the final generated video to users. This system allows users to easily create and share original videos without requiring specialized skills or expensive costs.

[0006] A "situation" is background information about a specific time, place, or event that a user enters as a setting for their original video.

[0007] "Characters" refer to characters that users include in their original videos, including their names, roles, and characteristics.

[0008] "Dialogue" refers to linguistic expressions such as dialogue and monologues spoken by characters in a video.

[0009] "User means" refers to the interface or device that allows the user to input situations, characters, and lines.

[0010] "Server means" refers to a computer server for receiving and processing information entered by a user.

[0011] "Text generation means" refers to AI technologies and algorithms that automatically generate stories or scripts based on received data.

[0012] "Video generation means" refers to the technology and software used to create CG animation based on specified characters and backgrounds, based on a generated script.

[0013] "Providing means" refers to the function for generating links and notifying users so that they can download the generated video.

[0014] "JSON format" is an abbreviation for JavaScript Object Notation, and is a format for expressing data in text format and storing it as structured information. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

[0017] First, the terms used in the following description will be explained.

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] The present invention provides a system that allows individual users to easily create original short videos. Below, specific examples of the operation of the system are given to explain the mode for carrying out the invention.

[0037] System Configuration

[0038] First, a user accesses the service's website or application and is presented with a form to input the situation, characters, and dialogue. The form is designed to be easy to enter, with all the necessary input fields.

[0039] example

[0040] Let's assume that a user is trying to create a video set at a summer festival. The user fills out the form as follows:

[0041] Situation: Summer festival

[0042] Characters: Couple

[0043] Quote: "Talking while watching the fireworks"

[0044] Sending data

[0045] When the user completes the input and clicks the "Generate" button, the device sends the input information to the server, which formats the data in JSON format and sends it to the server.

[0046] Script generation

[0047] Based on the data received by the server, a text generation AI operates and generates an original script. This AI uses natural language processing technology to construct a scenario from the input situation, characters, and dialogue.

[0048] example

[0049] The server receives the JSON data and generates a script like this:

[0050] json

[0051] {

[0052] "Scene": "Summer Festival",

[0053] "Character": ["Couple"],

[0054] "Dialogue": "The fireworks are so beautiful."

[0055] }

[0056] Video generation

[0057] Based on the generated script data, the video generation AI on the server creates CG animation. The video generation AI automatically generates character movements, backgrounds, and audio, creating the final video file.

[0058] example

[0059] The server generates a CG animation of a couple looking up at fireworks, including a summer festival scene in the background and fireworks effects.

[0060] Video provision

[0061] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[0062] example

[0063] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user accesses their personal page and clicks the download link to receive the generated video. The user can then play the downloaded video and post it to social media.

[0064] System Benefits

[0065] This system allows users to easily create original videos without requiring specialized video production skills, and generates high-quality content at low cost, satisfying the diverse needs of individual users.

[0066] As can be seen from the above description, the present invention provides a comprehensive system that enables users to easily create and share original videos.

[0067] The processing flow will be explained below.

[0068] Step 1:

[0069] The user accesses the service's website or application and navigates to the video creation page. The user enters information such as the situation, characters, and lines into the provided form. Once the user has entered all the required information, they click the "Generate" button.

[0070] Step 2:

[0071] The device formats the data entered by the user in JSON format and sends it to the server. The data sent includes the situation, characters, and lines.

[0072] Step 3:

[0073] The server receives the JSON data, parses it, checks if the received data is in the correct format, and prepares it for passing to the text generation AI.

[0074] Step 4:

[0075] The server provides the received data on the situation, characters, and dialogue to the text generation AI, which then generates an original script based on this information.

[0076] Step 5:

[0077] The server receives the script generated by the text generation AI, and the generated script is saved again in JSON format.

[0078] Step 6:

[0079] The server passes the saved script data to the video generation AI, which then automatically generates CG animation based on the script, including the specified character movements, backgrounds, and audio.

[0080] Step 7:

[0081] The server saves the video file generated by the video generation AI, and once saving is complete, the server sends a notification to the user.

[0082] Step 8:

[0083] The user receives the notification and accesses My Page, where the server provides a download link for the video file generated.

[0084] Step 9:

[0085] Users can download the generated video by clicking the download link on their personal page. They can then play the downloaded video, save it to their device, or post it to social media.

[0086] This process allows users to easily create, save, and share original short videos. The specific steps in each step allow users to generate high-quality videos without requiring specialized skills or expensive costs.

[0087] Example 1

[0088] 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."

[0089] Conventional video creation systems require specialized skills and high costs for individual users to easily create high-quality original short videos. In addition, the video creation process is complex and difficult to automate efficiently. This makes it difficult for users to easily create and share video content.

[0090] 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.

[0091] In this invention, the server includes means for a user to input a situation, characters, and lines, data processing means for receiving the input data, natural language processing means for generating an original script based on the received data, video generation means for generating computer graphics based on the generated script, and means for providing the generated video to the user. This enables users to easily generate high-quality original videos without requiring specialized skills, and to meet a variety of video needs at low cost.

[0092] "User" means any individual or entity that accesses, inputs and uses data on the System.

[0093] "Situation" refers to the setting of the video, and is information that indicates a specific location or situation.

[0094] "Characters" refers to the characters that act within a situation, and are the subjects of actions and conversations in the video.

[0095] "Dialogue" refers to information that refers to the lines or conversations spoken by characters.

[0096] "Data processing means" refers to a server or computer system for receiving and processing data entered by a user.

[0097] "Natural language processing tools" refers to text generation AI models and algorithms that generate original scripts based on input data.

[0098] "Video generation means" refers to the AI ​​model or software used to generate computer graphics based on the generated script.

[0099] "Providing means" refers to a server or system for providing the generated video to users.

[0100] "Notification means" refers to a server or communication system for notifying users of the generated video and providing a download link.

[0101] "Storage means" refers to a storage or database system for storing the generated script in a structured data format.

[0102] A "structured data format" is a data format in which the data content is organized according to a certain format, and generally refers to JSON, XML, etc.

[0103] This invention is a system that allows individual users to easily create original short videos. This system allows users to input situations, characters, and lines, and generates original scripts and videos based on that data, ultimately realizing the process of providing the videos.

[0104] System Configuration

[0105] First, users access the service's website or application and enter data into a form to input the situation, characters, and dialogue. The form has input fields that allow users to easily enter information.

[0106] Specific examples

[0107] For example, if a user is trying to create a video set at a summer festival, they might fill out the form like this:

[0108] Situation: Summer festival

[0109] Characters: Couple

[0110] Quote: "Talking while watching the fireworks"

[0111] Sending data

[0112] Once the user has completed the input and clicked the "Generate" button, the device will convert the input information into JSON format and send it to the server, using the HTTPS protocol to ensure data security.

[0113] Script generation

[0114] Based on the data received by the server, a text generation AI model operates to generate an original script. This AI model uses natural language processing technology to construct a scenario based on the input data.

[0115] Specific examples

[0116] The server generates a script based on the data:

[0117] Scene: Summer Festival

[0118] Characters: Couple

[0119] Conversation: "The fireworks are so beautiful."

[0120] Video generation

[0121] Based on the generated script, a video generation AI on the server creates CG animation. This video generation AI automatically generates character movements, backgrounds, and audio, and creates the final video file.

[0122] Specific examples

[0123] It generates a scene of a couple looking up at fireworks against the backdrop of a summer festival, and also includes fireworks sound effects and detailed background descriptions.

[0124] Video storage and notifications

[0125] The generated video is stored on the server, and a download link is provided to the user's My Page. The server then sends a notification to the user saying, "The video has been generated. You can download it here."

[0126] Download videos

[0127] The user receives a notification and accesses their personal page to download the generated video, which they can then play or post to social media to share with other users.

[0128] System Benefits

[0129] This system allows users to easily create original videos without requiring specialized video production skills, and generates high-quality content at low cost, making it possible to meet the diverse needs of individual users.

[0130] From the above description, it can be seen that the present invention provides a comprehensive system that enables users to easily create and share original videos.

[0131] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0132] Step 1: User Enters Data

[0133] The user accesses the service's website or application and enters data into a form that allows the user to enter the situation, characters, and dialogue. This allows the user to enter data such as:

[0134] Situation: Summer festival

[0135] Characters: Couple

[0136] Quote: "Talking while watching the fireworks"

[0137] This data is given as input to the terminal and will be used in the next step.

[0138] Step 2: The device sends the data

[0139] When the user clicks the "Generate" button, the device converts the input data into JSON format and sends it to the server using the HTTPS protocol. The input is the situation, characters, and lines entered by the user, and the JSON data sent to the server is generated as output.

[0140] Specifically, the device generates the following JSON data and sends it to the server:

[0141] json

[0142] {

[0143] "Situation": "Summer Festival",

[0144] "Characters": "Couple",

[0145] "Line": "Talking while watching the fireworks"

[0146] }

[0147] Step 3: The server generates the script

[0148] The server receives the received JSON data as input and generates a script based on it using a text generation AI model. The generated script data is obtained as output. This AI model uses natural language processing technology to automatically create a scenario based on the input data.

[0149] Specifically, the server generates the following script data:

[0150] json

[0151] {

[0152] "Scene": "Summer Festival",

[0153] "Character": ["Couple"],

[0154] "Dialogue": "The fireworks are so beautiful."

[0155] }

[0156] Step 4: The server generates the video

[0157] The generated script data is used as input for the video generation AI on the server to create CG animation. The final video file is generated as output. This video generation AI automatically generates character movements, backgrounds, audio, and more to create a complete video file.

[0158] Specifically, the server generates a scene with a summer festival background and a couple looking up at fireworks, including sound effects of the fireworks and detailed descriptions of the background.

[0159] Step 5: The server saves the video and sends a notification

[0160] The generated video file is stored on the server and a download link is provided on the user's personal page. At this time, the server sends a notification to the user saying, "The video has been generated. You can download it here." The generated video file is the input, and the notification sent to the user is the output.

[0161] Specifically, the server sends a notification based on the user's contact information and places a download link on their personal page.

[0162] Step 6: User downloads the video

[0163] The user receives a notification and accesses their personal page to download the generated video. The input is a download link provided by the server, and the output is a video file saved on the user's device. The user can play the video or post it to social media to share it.

[0164] Specifically, the user accesses their personal page, clicks on the download link to obtain the video file, and then plays or shares it.

[0165] (Application example 1)

[0166] 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."

[0167] In today's content distribution services, individual users are required to easily and quickly create original short videos and upload them to distribution platforms for sharing. However, there is a lack of systems that can generate high-quality videos without requiring specialized video production skills or expensive software. This makes it difficult for ordinary users to easily enjoy content creation activities.

[0168] 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.

[0169] In this invention, the server includes means for a user to input a situation, characters, and lines, server means for receiving the input data, text generation means for generating an original script based on the received data, video generation means for generating CG animation based on the generated script, means for providing the generated video to the user, and means for uploading the generated video to a content distribution platform. This enables users to easily create original videos and quickly share them on the distribution platform.

[0170] "Means for the user to input the situation, characters, and lines" refers to an interface for inputting the situation, characters, and lines specified by the user.

[0171] The "server means for receiving input data" refers to a means for communicating with a server for receiving and processing data on situations, characters, and lines input by a user.

[0172] A "text generation means for generating an original script" is a means that includes natural language processing techniques used to automatically generate an original script based on input data.

[0173] "Video generation means for generating CG animation based on a generated script" refers to the techniques and means for producing CG animation based on a generated script.

[0174] The "means for providing the generated video to the user" refers to the technology and means for providing the generated video to the user so that the user can view and download it.

[0175] "Means for uploading the generated video to a content distribution platform" refers to means for uploading the generated video to various content distribution platforms (e.g., YouTube, Instagram, TikTok, etc.).

[0176] "Means for providing video preview and download link" refers to the technology and means for providing users with a preview and download link for the generated video.

[0177] "Means for providing a link to share the generated video on a content distribution platform" means means for providing a link established for sharing the generated video with third parties.

[0178] "Means for saving the generated script in JSON format" refers to means for saving the generated script in JSON format according to a data structure.

[0179] "Means for saving the generated video in cloud storage" refers to means for saving the generated video data in an external cloud storage service.

[0180] This invention is a system that allows users to input situations, characters, and lines, easily and quickly generate original short videos, and then upload them to a content distribution platform. This system mainly consists of the following hardware and software.

[0181] Hardware and software used

[0182] 1. User device: A device such as a smartphone or tablet. Flutter is used for application development.

[0183] 2. Server: Used for data processing and running generative AI models. Python (Flask) is used as the backend.

[0184] 3. Firebase: Used for database, authentication, and real-time data processing.

[0185] Data entry and submission

[0186] The user opens the application on their device and enters information into a form that includes the situation, characters, and dialogue. The entered data is converted into JSON format and sent to the server via Firebase.

[0187] Examples:

[0188] If a user fills out a form with the following:

[0189] Situation: Summer festival

[0190] Characters: Couple

[0191] Quote: "Talking while watching the fireworks"

[0192] Scriptwriting and video generation

[0193] The server processes the received JSON data and inputs it into a generative AI model (e.g., OpenAI GPT-3). The model uses natural language processing techniques to generate an original script. This script is then passed to a video generation AI (e.g., VQ-VAE) to generate a CG animation.

[0194] Example prompt sentence:

[0195] Situation: Summer festival

[0196] Characters: Couple

[0197] Dialogue: Talking while watching the fireworks

[0198] Providing and sharing videos

[0199] The generated video is saved in cloud storage (Firebase Storage) and the user is notified. The user can download the video by clicking a link in the app. In addition, the generated video is provided with an upload link to a content distribution platform (e.g. YouTube, Instagram, TikTok).

[0200] Specifically, after users check and download videos within the app, they can press the app's "Share" button to directly upload the generated videos to various content distribution platforms.

[0201] This procedure allows users to easily create high-quality original videos and share them on content distribution platforms without requiring any specialized skills.

[0202] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0203] Step 1:

[0204] The user launches the application on their device and inputs the situation, characters, and lines. This input data is converted to JSON format on the user's device and structured as input information. The input for this process is the situation, characters, and lines input by the user, and the output is JSON format data.

[0205] Step 2:

[0206] The terminal sends the generated JSON data to the server via Firebase. Here, Firebase functions as a real-time database, receiving and synchronizing data. The input of this process is JSON format data, and the output is JSON data received by the server.

[0207] Step 3:

[0208] The server parses the received JSON data and extracts each element (situation, characters, and lines). The parsed data is formatted as a prompt to be used in the next processing step. The input of this process is the JSON data received by the server, and the output is the formatted prompt.

[0209] Step 4:

[0210] Based on the formatted prompt, the server invokes a text generation model (e.g., OpenAI GPT-3) to generate an original script. The generated script is then converted back into JSON format. The input of this process is the prompt, and the output is the JSON data of the generated script.

[0211] Step 5:

[0212] The server inputs the JSON data of the generated script into a video generation model to generate CG animation. The video generation model automatically generates the movements of each character, background, and sound. The input to this process is the JSON data of the generated script, and the output is the generated video file.

[0213] Step 6:

[0214] The generated video file is uploaded and stored in Firebase Storage. The server obtains the URL of the video stored in Firebase Storage and sends a notification to the user's device. The input of this process is the generated video file, and the output is the video URL in Firebase Storage.

[0215] Step 7:

[0216] Users receive a notification on their device and click a link in the application to download the video. Furthermore, users can upload the video directly to various content distribution platforms by pressing the "Share" button. The input of this process is the video URL in Firebase Storage, and the output is the video uploaded to the distribution platform.

[0217] At each step, the user, terminal, and server each play a different role, and a series of processes are carried out, from data input to video generation and distribution.

[0218] 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.

[0219] This invention combines an emotion engine with a system that allows individual users to easily create original short videos. This system recognizes the user's emotions and generates content that is more personalized and engaging.

[0220] System Configuration

[0221] First, a user accesses the service's website or application. The user is provided with a form to input the situation, characters, and lines. The system then uses an emotion engine to recognize the user's emotions.

[0222] example

[0223] Let's assume that a user is trying to create a video set at a summer festival. The user fills out the form as follows:

[0224] Situation: Summer festival

[0225] Characters: Couple

[0226] Quote: "Talking while watching the fireworks"

[0227] At the same time, the emotion engine recognizes the user's emotions and extracts the emotional state as data.

[0228] Sending data

[0229] When the user completes the input and clicks the "Generate" button, the device formats the input information and the emotion data recognized by the emotion engine in JSON format and sends it to the server.

[0230] Script generation

[0231] The server receives the JSON data and analyzes it. The received data includes the situation, characters, lines, and emotional data. The server then provides input to a text generation AI based on this data to generate an original script. The emotional data is reflected in the dialogue and expressions in the script.

[0232] example

[0233] The server receives the JSON data and generates a script like this:

[0234] json

[0235] {

[0236] "Scene": "Summer Festival",

[0237] "Character": ["Couple"],

[0238] "Dialogue": "The fireworks are so beautiful."

[0239] }

[0240] Based on the emotion data, the line "The fireworks are so beautiful" may be changed depending on the user's emotion.

[0241] Video generation

[0242] Based on the generated script data, the image generation AI on the server creates CG animation. Emotional data is reflected in the character's expressions, movements, and background effects.

[0243] example

[0244] The server generates a CG animation of a couple looking up at fireworks. This animation includes the background of a summer festival and the effects of fireworks. Furthermore, the couple's facial expressions and movements are adjusted based on the emotional data.

[0245] Video provision

[0246] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[0247] example

[0248] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user accesses their personal page and clicks the download link to receive the generated video. The user can then play the downloaded video and post it to social media.

[0249] System Benefits

[0250] Using this system, users can easily create original videos without the need for specialized video production skills. The introduction of an emotion engine enables the creation of personalized content based on the user's emotions, improving the user experience. Furthermore, the system can generate high-quality content at low cost, meeting the diverse needs of individual users.

[0251] This invention provides a comprehensive system that allows users to easily create and share original videos, and by combining it with an emotion engine, it realizes an even more advanced content experience.

[0252] The processing flow will be explained below.

[0253] Step 1:

[0254] Users access the service's website or application and navigate to the video creation page. They enter the situation, characters, and lines in the provided form. The emotion engine then recognizes emotions in real time from the user's facial expressions and tone of voice, generating emotion data.

[0255] Step 2:

[0256] When the user clicks the "Generate" button, the device formats the input data (situation, characters, lines) and the emotion data generated by the emotion engine in JSON format and sends it to the server. This JSON data includes the following information:

[0257] json

[0258] {

[0259] "Situation": "Summer Festival",

[0260] "Characters": ["Couple"],

[0261] "Line": "Talking while watching the fireworks",

[0262] "Emotion": "Excitement"

[0263] }

[0264] Step 3:

[0265] The server receives the JSON data, parses it, checks if the received data is in the correct format, and prepares it for passing to the text generation AI and emotion engine.

[0266] Step 4:

[0267] The server provides the received data as input to the text generation AI. The text generation AI generates an original script that reflects the emotional data based on the situation, characters, and lines. For example, if the emotion is "excitement," the line would be "The fireworks are so beautiful, it's exciting!"

[0268] Step 5:

[0269] The server saves the generated script again in JSON format. An example of a generated script is as follows:

[0270] json

[0271] {

[0272] "Scene": "Summer Festival",

[0273] "Character": ["Couple"],

[0274] "Conversation": "The fireworks are so beautiful and exciting!"

[0275] }

[0276] Step 6:

[0277] The server passes the saved script data to the video generation AI, which then automatically generates the specified character movements, background, audio, and other elements based on the script. Emotional data is reflected in the character's facial expressions and movements.

[0278] Step 7:

[0279] The server saves the video file generated by the video generation AI. Once saving is complete, the server sends a notification to the user that generation is complete.

[0280] Step 8:

[0281] The user receives the notification and accesses My Page, where the server provides a download link for the video file generated.

[0282] Step 9:

[0283] Users can download the generated video by clicking the download link on their personal page. They can then play the downloaded video, save it to their device, or post it to social media.

[0284] This processing step allows users to easily create, save, and share original short videos that reflect their emotions. By using the emotion engine, the content and direction of the video are optimized to match the user's emotions, making it possible to generate more unique and appealing content.

[0285] Example 2

[0286] 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."

[0287] In today's world, it remains difficult for individual users to easily create original short videos. In particular, it is difficult for existing systems to generate personalized content that reflects the user's emotions. Furthermore, the video generation process is complex, requires specialized knowledge, and is expensive, so there is a need for a system that is easy for general users to use.

[0288] 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.

[0289] In this invention, the server includes means for the user to input a situation, characters, and lines, emotion recognition means for recognizing the user's emotions, server means for receiving the input data and the recognized emotion data, text generation means for generating an original script based on the received data, video generation means for generating CG animation based on the generated script, and means for providing the generated video to the user. This enables users to easily generate original, emotionally-reflective short videos without requiring specialized skills or high costs.

[0290] "User" means an individual or legal entity that uses the system to create short videos.

[0291] "Situation" refers to the background or location or situation of the video.

[0292] "Characters" are characters or people who play a role in the video.

[0293] "Dialogue" refers to the conversations and words spoken by characters.

[0294] "Emotion recognition means" is a technology for detecting a user's emotions and extracting that information as data.

[0295] "Data format" refers to the structure in which digital information is stored or transmitted.

[0296] "Server Means" means the computing resources that receive, process, and store data and operate in conjunction with other system components.

[0297] "Text Generation Means" means an algorithm or system for generating a script in natural language based on received data.

[0298] "Video generation means" refers to a technology or system for producing CG animation based on a generated script.

[0299] "CG animation" refers to animated videos created using computer graphics.

[0300] "Means for providing videos" refers to a function for distributing or providing the generated videos to users.

[0301] "Means for providing a review and download link" refers to the ability for a user to preview the generated video and provide a link to download the video.

[0302] This invention is a system that allows individual users to easily create original short videos, and combines it with an emotion engine. This system recognizes the user's emotions and generates content that is more personalized and engaging.

[0303] System Configuration

[0304] First, a user accesses the service's website or application. The user enters information about the situation, characters, and dialogue using a form. Next, an emotion engine (e.g., Emotion API or Sentiment Analysis) is used to recognize the user's emotions and extract their emotional state as data.

[0305] Specific examples

[0306] A user wants to create a video set at a summer festival, so they fill out the form as follows:

[0307] Situation: Summer festival

[0308] Characters: Couple

[0309] Quote: "Talking while watching the fireworks"

[0310] The emotion engine recognizes the user's emotion as "happiness" and acquires the emotion data.

[0311] Sending data

[0312] When the user has finished entering information and clicked the "Generate" button, the device will convert the entered information and emotion data into JSON format and send it to the server. Specifically, the following information will be sent:

[0313] Example of transmitted data:

[0314] json

[0315] {

[0316] "Situation": "Summer Festival",

[0317] "Characters": ["Couple"],

[0318] "Line": "Talking while watching the fireworks",

[0319] "Emotion": "Happiness"

[0320] }

[0321] Script generation

[0322] The server receives the JSON data and analyzes its contents. Based on the analyzed data, the server generates an original script using a text generation AI (e.g., GPT-3). The server provides the prompt sentence to the generation AI model and generates the script while taking into account the emotional data.

[0323] Example prompt:

[0324] Situation: Summer festival

[0325] Characters: Couple

[0326] Dialogue: Talking while watching the fireworks

[0327] Emotion: Happiness

[0328] The generated script is as follows:

[0329] json

[0330] {

[0331] "Scene": "Summer Festival",

[0332] "Character": ["Couple"],

[0333] "Dialogue": "The fireworks are so beautiful."

[0334] }

[0335] Video generation

[0336] The server uses image generation AI (e.g., RunwayML) to create CG animation based on the script data. The generated CG animation also reflects the emotional data, adjusting the character's facial expressions, movements, and background effects.

[0337] Specific examples

[0338] The server generates a CG animation of a couple looking up at fireworks. The animation includes a summer festival background and fireworks effects, and the characters' expressions reflect a sense of happiness.

[0339] Video provision

[0340] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[0341] Specific examples

[0342] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user can then access their personal page, download the video, play it, and post it to social media if desired.

[0343] System Benefits

[0344] Using this system, users can easily create original videos without needing specialized video production skills. The introduction of an emotion engine enables the creation of personalized content based on the user's emotions, improving the user experience. Furthermore, the system can generate high-quality content at low cost, satisfying the diverse needs of individual users.

[0345] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0346] Step 1:

[0347] A user accesses a website or application and inputs a situation, characters, and lines. The emotion recognition means recognizes the user's emotions.

[0348] Input: User-provided information about the situation, characters, and lines, as well as facial image or audio data.

[0349] Data processing: The emotion recognition means extracts the user's emotional state (e.g., happiness, sadness) as data.

[0350] Output: Input information and recognized emotion data.

[0351] Specific behavior:

[0352] The user inputs "summer festival, couple, 'talking while watching fireworks'" into the app, and the emotion recognition means analyzes the user's facial image and recognizes the emotion "happiness."

[0353] Step 2:

[0354] Once the user has completed entering the information, they click the "Generate" button. The device then formats the entered information and emotion data into JSON format and sends it to the server.

[0355] Input: User click action of "Generate" button.

[0356] Data processing: Format the input information and emotion data into JSON format.

[0357] Output: Pretty-printed JSON data.

[0358] Specific behavior:

[0359] The device generates JSON data containing information such as "summer festival, couple, 'talking while watching fireworks', happiness" and sends it to the server.

[0360] Step 3:

[0361] The server receives and analyzes the JSON data, then uses text generation AI to generate an original script.

[0362] Input: The received JSON data.

[0363] Data processing: Parse the JSON data and provide the prompt text to the text generation AI, which then generates the script.

[0364] Output: The generated script.

[0365] Specific behavior:

[0366] The server analyzes the JSON data "Summer festival, couple, 'talking while watching fireworks', happiness" and generates a script "Summer festival, couple, the fireworks are beautiful."

[0367] Step 4:

[0368] Based on the script data generated by the server, CG animation is created using video generation AI.

[0369] Input: Generated script data.

[0370] Data processing: Video generation AI generates CG animation based on script data, adjusting character expressions, movements, and background effects.

[0371] Output: Generated CG animation.

[0372] Specific behavior:

[0373] Based on the script "Summer festival, couple, beautiful fireworks," the server generates a CG animation of a scene in which a couple with happy expressions look up at fireworks.

[0374] Step 5:

[0375] The generated video is stored on the server and a download link is provided to the user's personal page.

[0376] Input: Generated CG animation.

[0377] Data processing: Save the video and send a notification to the user.

[0378] Output: Notification that a download link has been provided.

[0379] Specific behavior:

[0380] The server sends a notification to the user saying "The video has been generated. You can download it here," and the generated video is displayed as a download link on the user's My Page.

[0381] (Application example 2)

[0382] 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."

[0383] Conventional video generation systems only generate videos based on user input, making it difficult to generate personalized content that reflects the user's emotions. This can limit the user experience and reduce the appeal and quality of the generated content. Therefore, there is a need for a method that allows users to easily create high-quality videos without requiring specialized video production skills.

[0384] 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.

[0385] In this invention, the server includes emotion recognition means for recognizing a user's emotion and extracting the emotion data, means for receiving input data and emotion data, and text generation means for generating an original script based on the received data, thereby enabling the generation of personalized, high-quality videos that reflect the user's emotion.

[0386] "Situation" is information that allows the user to specify the background or setting of the video.

[0387] "Character" is information that allows a user to specify a specific character within a video.

[0388] "Lines" are information that specifies the words spoken by characters and the content of conversations within a video.

[0389] "Emotion recognition" is a technology that automatically analyzes emotions from a user's facial expressions, voice, etc. and extracts emotional data.

[0390] A "server" is a computer system that receives data and emotion data entered by a user and performs processing based on that data.

[0391] "Text generation" is the process of generating an original script based on the received situation, characters, dialogue, and emotion data.

[0392] "Video generation" is the process of creating CG animation based on the generated script.

[0393] The "means for providing the video" is a method for displaying the generated video to the user and making it available for download.

[0394] This invention combines an emotion engine with a system that allows users to easily create original short videos. The following describes the specific steps for implementing this system.

[0395] User Input and Emotion Recognition

[0396] Users access the application using a device such as a smartphone or tablet. The application screen displays a form for entering the situation, characters, and lines. For example, the following information can be entered:

[0397] Situation: Summer festival

[0398] Characters: Couple

[0399] Quote: "Talking while watching the fireworks"

[0400] At the same time, the device's camera is used to read the user's face and an emotion recognition engine (such as Google Cloud Vision API or Amazon Rekognition) extracts the user's emotional data, which is recorded in the form of happiness, surprise, sadness, etc.

[0401] Data transmission and analysis

[0402] The input information and extracted emotion data are formatted in JSON format and sent to a server, which receives the data and analyzes it efficiently. The server can be a cloud platform such as Google Cloud, AWS, or Azure.

[0403] Script generation and video generation

[0404] Based on the analyzed data, the server uses text generation AI (e.g., OpenAI GPT-4) to generate an original script that reflects the situation, characters, lines, and the user's emotional data.

[0405] Based on the generated script, the server uses a video generation engine (such as Unity or Unreal Engine) to create high-quality CG animation, including background scenes from the summer festival and fireworks effects, and adjusts the characters' expressions and movements based on emotional data.

[0406] Video provision and sharing

[0407] The completed video is saved on the server and a download link is provided to the user's My Page. The user can reopen the application and access My Page to download the video. The generated video can also be shared on social media immediately. The system will also send a notification message to the user informing them that the video has been generated.

[0408] Specific examples

[0409] For example, if a user enters the prompt "I want to make a video of a couple talking while watching fireworks at a summer festival," the following will happen:

[0410] 1. The user inputs the situation, characters, and lines, and the emotion recognition engine extracts the emotion data of joy.

[0411] 2. The server receives and analyzes this data.

[0412] 3. The text generation AI generates a script that includes the line, "The fireworks are so beautiful."

[0413] 4. The video generation engine generates a CG animation of a couple looking up at the fireworks in joy.

[0414] 5. The server stores the video and provides the user with a download link.

[0415] In this way, users can easily create high-quality original videos and provide emotionally appealing content, even if they do not have specialized video production skills.

[0416] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0417] Step 1:

[0418] The user accesses the application using a device and inputs the situation, characters, and lines. The emotion recognition engine recognizes the user's emotions in real time through the device's camera and extracts the data. For example, if the user inputs "summer festival" as the situation, the emotion of "joy" is detected through the camera.

[0419] Input: The user inputs the situation, characters, and lines. The device camera captures the user's facial expressions.

[0420] Output: Situation, characters, dialogue, and extracted emotion data.

[0421] Step 2:

[0422] The device formats the input information and extracted emotion data into JSON format and sends it to the server. The JSON data at this time will be in the following format.

[0423] Input: situation, characters, lines, emotional data.

[0424] Output: JSON format data. Send to: Server.

[0425] json

[0426] {

[0427] "Situation": "Summer Festival",

[0428] "Characters": "Couple",

[0429] "Line": "Talking while watching the fireworks",

[0430] "Emotion": "Joy"

[0431] }

[0432] Step 3:

[0433] The server parses the received JSON data to obtain the situation, characters, lines, and emotion data, and then generates a prompt for the text generation AI (OpenAI GPT-4) based on this data.

[0434] Input: JSON formatted data.

[0435] Output: Prompt text. This prompt text is passed to the text generation AI.

[0436] Step 4:

[0437] When the server inputs a prompt into the text generation AI, the AI ​​generates an original script based on the prompt. For example, the AI ​​might generate a line like, "The fireworks are so beautiful."

[0438] Input: prompt statement.

[0439] Output: The generated script, including the line "The fireworks are so beautiful."

[0440] Step 5:

[0441] The server then passes the generated script to a video generation AI (such as Unity or Unreal Engine), which generates CG animation based on the script. The character's facial expressions and movements are adjusted based on the emotional data.

[0442] Input: Generated script and emotion data.

[0443] Output: The completed CG animation shows a happy couple looking up at the fireworks.

[0444] Step 6:

[0445] The server saves the completed video and provides a download link to the user's My Page. The user can then reopen the application and access My Page to download the video. The generated video can also be shared on social media immediately.

[0446] Input: Your finished video.

[0447] Output: A download link. A message to notify the user.

[0448] This allows users to easily create high-quality original videos and provide personalized, attractive content, even if they do not have specialized video production skills.

[0449] 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.

[0450] 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.

[0451] 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.

[0452] [Second embodiment]

[0453] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0454] 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.

[0455] 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).

[0456] 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.

[0457] 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.

[0458] 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).

[0459] 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.

[0460] 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.

[0461] 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.

[0462] 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.

[0463] 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.

[0464] 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."

[0465] The present invention provides a system that allows individual users to easily create original short videos. Below, specific examples of the operation of the system are given to explain the mode for carrying out the invention.

[0466] System Configuration

[0467] First, a user accesses the service's website or application and is presented with a form to input the situation, characters, and dialogue. The form is designed to be easy to enter, with all the necessary input fields.

[0468] example

[0469] Let's assume that a user is trying to create a video set at a summer festival. The user fills out the form as follows:

[0470] Situation: Summer festival

[0471] Characters: Couple

[0472] Quote: "Talking while watching the fireworks"

[0473] Sending data

[0474] When the user completes the input and clicks the "Generate" button, the device sends the input information to the server, which formats the data in JSON format and sends it to the server.

[0475] Script generation

[0476] Based on the data received by the server, a text generation AI operates and generates an original script. This AI uses natural language processing technology to construct a scenario from the input situation, characters, and dialogue.

[0477] example

[0478] The server receives the JSON data and generates a script like this:

[0479] json

[0480] {

[0481] "Scene": "Summer Festival",

[0482] "Character": ["Couple"],

[0483] "Dialogue": "The fireworks are so beautiful."

[0484] }

[0485] Video generation

[0486] Based on the generated script data, the video generation AI on the server creates CG animation. The video generation AI automatically generates character movements, backgrounds, and audio, creating the final video file.

[0487] example

[0488] The server generates a CG animation of a couple looking up at fireworks, including a summer festival scene in the background and fireworks effects.

[0489] Video provision

[0490] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[0491] example

[0492] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user accesses their personal page and clicks the download link to receive the generated video. The user can then play the downloaded video and post it to social media.

[0493] System Benefits

[0494] This system allows users to easily create original videos without requiring specialized video production skills, and generates high-quality content at low cost, satisfying the diverse needs of individual users.

[0495] As can be seen from the above description, the present invention provides a comprehensive system that enables users to easily create and share original videos.

[0496] The processing flow will be explained below.

[0497] Step 1:

[0498] The user accesses the service's website or application and navigates to the video creation page. The user enters information such as the situation, characters, and lines into the provided form. Once the user has entered all the required information, they click the "Generate" button.

[0499] Step 2:

[0500] The device formats the data entered by the user in JSON format and sends it to the server. The data sent includes the situation, characters, and lines.

[0501] Step 3:

[0502] The server receives the JSON data, parses it, checks if the received data is in the correct format, and prepares it for passing to the text generation AI.

[0503] Step 4:

[0504] The server provides the received data on the situation, characters, and dialogue to the text generation AI, which then generates an original script based on this information.

[0505] Step 5:

[0506] The server receives the script generated by the text generation AI, and the generated script is saved again in JSON format.

[0507] Step 6:

[0508] The server passes the saved script data to the video generation AI, which then automatically generates CG animation based on the script, including the specified character movements, backgrounds, and audio.

[0509] Step 7:

[0510] The server saves the video file generated by the video generation AI, and once saving is complete, the server sends a notification to the user.

[0511] Step 8:

[0512] The user receives the notification and accesses My Page, where the server provides a download link for the video file generated.

[0513] Step 9:

[0514] Users can download the generated video by clicking the download link on their personal page. They can then play the downloaded video, save it to their device, or post it to social media.

[0515] This process allows users to easily create, save, and share original short videos. The specific steps in each step allow users to generate high-quality videos without requiring specialized skills or expensive costs.

[0516] Example 1

[0517] 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."

[0518] Conventional video creation systems require specialized skills and high costs for individual users to easily create high-quality original short videos. In addition, the video creation process is complex and difficult to automate efficiently. This makes it difficult for users to easily create and share video content.

[0519] 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.

[0520] In this invention, the server includes means for a user to input a situation, characters, and lines, data processing means for receiving the input data, natural language processing means for generating an original script based on the received data, video generation means for generating computer graphics based on the generated script, and means for providing the generated video to the user. This enables users to easily generate high-quality original videos without requiring specialized skills, and to meet a variety of video needs at low cost.

[0521] "User" means any individual or entity that accesses, inputs and uses data on the System.

[0522] "Situation" refers to the setting of the video, and is information that indicates a specific location or situation.

[0523] "Characters" refers to the characters that act within a situation, and are the subjects of actions and conversations in the video.

[0524] "Dialogue" refers to information that refers to the lines or conversations spoken by characters.

[0525] "Data processing means" refers to a server or computer system for receiving and processing data entered by a user.

[0526] "Natural language processing tools" refers to text generation AI models and algorithms that generate original scripts based on input data.

[0527] "Video generation means" refers to the AI ​​model or software used to generate computer graphics based on the generated script.

[0528] "Providing means" refers to a server or system for providing the generated video to users.

[0529] "Notification means" refers to a server or communication system for notifying users of the generated video and providing a download link.

[0530] "Storage means" refers to a storage or database system for storing the generated script in a structured data format.

[0531] A "structured data format" is a data format in which the data content is organized according to a certain format, and generally refers to JSON, XML, etc.

[0532] This invention is a system that allows individual users to easily create original short videos. This system allows users to input situations, characters, and lines, and generates original scripts and videos based on that data, ultimately realizing the process of providing the videos.

[0533] System Configuration

[0534] First, users access the service's website or application and enter data into a form to input the situation, characters, and dialogue. The form has input fields that allow users to easily enter information.

[0535] Specific examples

[0536] For example, if a user is trying to create a video set at a summer festival, they might fill out the form like this:

[0537] Situation: Summer festival

[0538] Characters: Couple

[0539] Quote: "Talking while watching the fireworks"

[0540] Sending data

[0541] Once the user has completed the input and clicked the "Generate" button, the device will convert the input information into JSON format and send it to the server, using the HTTPS protocol to ensure data security.

[0542] Script generation

[0543] Based on the data received by the server, a text generation AI model operates to generate an original script. This AI model uses natural language processing technology to construct a scenario based on the input data.

[0544] Specific examples

[0545] The server generates a script based on the data:

[0546] Scene: Summer Festival

[0547] Characters: Couple

[0548] Conversation: "The fireworks are so beautiful."

[0549] Video generation

[0550] Based on the generated script, a video generation AI on the server creates CG animation. This video generation AI automatically generates character movements, backgrounds, and audio, and creates the final video file.

[0551] Specific examples

[0552] It generates a scene of a couple looking up at fireworks against the backdrop of a summer festival, and also includes fireworks sound effects and detailed background descriptions.

[0553] Video storage and notifications

[0554] The generated video is stored on the server, and a download link is provided to the user's My Page. The server then sends a notification to the user saying, "The video has been generated. You can download it here."

[0555] Download videos

[0556] The user receives a notification and accesses their personal page to download the generated video, which they can then play or post to social media to share with other users.

[0557] System Benefits

[0558] This system allows users to easily create original videos without requiring specialized video production skills, and generates high-quality content at low cost, making it possible to meet the diverse needs of individual users.

[0559] From the above description, it can be seen that the present invention provides a comprehensive system that enables users to easily create and share original videos.

[0560] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0561] Step 1: User Enters Data

[0562] The user accesses the service's website or application and enters data into a form that allows the user to enter the situation, characters, and dialogue. This allows the user to enter data such as:

[0563] Situation: Summer festival

[0564] Characters: Couple

[0565] Quote: "Talking while watching the fireworks"

[0566] This data is given as input to the terminal and will be used in the next step.

[0567] Step 2: The device sends the data

[0568] When the user clicks the "Generate" button, the device converts the input data into JSON format and sends it to the server using the HTTPS protocol. The input is the situation, characters, and lines entered by the user, and the JSON data sent to the server is generated as output.

[0569] Specifically, the device generates the following JSON data and sends it to the server:

[0570] json

[0571] {

[0572] "Situation": "Summer Festival",

[0573] "Characters": "Couple",

[0574] "Line": "Talking while watching the fireworks"

[0575] }

[0576] Step 3: The server generates the script

[0577] The server receives the received JSON data as input and generates a script based on it using a text generation AI model. The generated script data is obtained as output. This AI model uses natural language processing technology to automatically create a scenario based on the input data.

[0578] Specifically, the server generates the following script data:

[0579] json

[0580] {

[0581] "Scene": "Summer Festival",

[0582] "Character": ["Couple"],

[0583] "Dialogue": "The fireworks are so beautiful."

[0584] }

[0585] Step 4: The server generates the video

[0586] The generated script data is used as input for the video generation AI on the server to create CG animation. The final video file is generated as output. This video generation AI automatically generates character movements, backgrounds, audio, and more to create a complete video file.

[0587] Specifically, the server generates a scene with a summer festival background and a couple looking up at fireworks, including sound effects of the fireworks and detailed descriptions of the background.

[0588] Step 5: The server saves the video and sends a notification

[0589] The generated video file is stored on the server and a download link is provided on the user's personal page. At this time, the server sends a notification to the user saying, "The video has been generated. You can download it here." The generated video file is the input, and the notification sent to the user is the output.

[0590] Specifically, the server sends a notification based on the user's contact information and places a download link on their personal page.

[0591] Step 6: User downloads the video

[0592] The user receives a notification and accesses their personal page to download the generated video. The input is a download link provided by the server, and the output is a video file saved on the user's device. The user can play the video or post it to social media to share it.

[0593] Specifically, the user accesses their personal page, clicks on the download link to obtain the video file, and then plays or shares it.

[0594] (Application example 1)

[0595] 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."

[0596] In today's content distribution services, individual users are required to easily and quickly create original short videos and upload them to distribution platforms for sharing. However, there is a lack of systems that can generate high-quality videos without requiring specialized video production skills or expensive software. This makes it difficult for ordinary users to easily enjoy content creation activities.

[0597] 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.

[0598] In this invention, the server includes means for a user to input a situation, characters, and lines, server means for receiving the input data, text generation means for generating an original script based on the received data, video generation means for generating CG animation based on the generated script, means for providing the generated video to the user, and means for uploading the generated video to a content distribution platform. This enables users to easily create original videos and quickly share them on the distribution platform.

[0599] "Means for the user to input the situation, characters, and lines" refers to an interface for inputting the situation, characters, and lines specified by the user.

[0600] The "server means for receiving input data" refers to a means for communicating with a server for receiving and processing data on situations, characters, and lines input by a user.

[0601] A "text generation means for generating an original script" is a means that includes natural language processing techniques used to automatically generate an original script based on input data.

[0602] "Video generation means for generating CG animation based on a generated script" refers to the techniques and means for producing CG animation based on a generated script.

[0603] The "means for providing the generated video to the user" refers to the technology and means for providing the generated video to the user so that the user can view and download it.

[0604] "Means for uploading the generated video to a content distribution platform" refers to means for uploading the generated video to various content distribution platforms (e.g., YouTube, Instagram, TikTok, etc.).

[0605] "Means for providing video preview and download link" refers to the technology and means for providing users with a preview and download link for the generated video.

[0606] "Means for providing a link to share the generated video on a content distribution platform" means means for providing a link established for sharing the generated video with third parties.

[0607] "Means for saving the generated script in JSON format" refers to means for saving the generated script in JSON format according to a data structure.

[0608] "Means for saving the generated video in cloud storage" refers to means for saving the generated video data in an external cloud storage service.

[0609] This invention is a system that allows users to input situations, characters, and lines, easily and quickly generate original short videos, and then upload them to a content distribution platform. This system mainly consists of the following hardware and software.

[0610] Hardware and software used

[0611] 1. User device: A device such as a smartphone or tablet. Flutter is used for application development.

[0612] 2. Server: Used for data processing and running generative AI models. Python (Flask) is used as the backend.

[0613] 3. Firebase: Used for database, authentication, and real-time data processing.

[0614] Data entry and submission

[0615] The user opens the application on their device and enters information into a form that includes the situation, characters, and dialogue. The entered data is converted into JSON format and sent to the server via Firebase.

[0616] Examples:

[0617] If a user fills out a form with the following:

[0618] Situation: Summer festival

[0619] Characters: Couple

[0620] Quote: "Talking while watching the fireworks"

[0621] Scriptwriting and video generation

[0622] The server processes the received JSON data and inputs it into a generative AI model (e.g., OpenAI GPT-3). The model uses natural language processing techniques to generate an original script. This script is then passed to a video generation AI (e.g., VQ-VAE) to generate a CG animation.

[0623] Example prompt sentence:

[0624] Situation: Summer festival

[0625] Characters: Couple

[0626] Dialogue: Talking while watching the fireworks

[0627] Providing and sharing videos

[0628] The generated video is saved in cloud storage (Firebase Storage) and the user is notified. The user can download the video by clicking a link in the app. In addition, the generated video is provided with an upload link to a content distribution platform (e.g. YouTube, Instagram, TikTok).

[0629] Specifically, after users check and download videos within the app, they can press the app's "Share" button to directly upload the generated videos to various content distribution platforms.

[0630] This procedure allows users to easily create high-quality original videos and share them on content distribution platforms without requiring any specialized skills.

[0631] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0632] Step 1:

[0633] The user launches the application on their device and inputs the situation, characters, and lines. This input data is converted to JSON format on the user's device and structured as input information. The input for this process is the situation, characters, and lines input by the user, and the output is JSON format data.

[0634] Step 2:

[0635] The terminal sends the generated JSON data to the server via Firebase. Here, Firebase functions as a real-time database, receiving and synchronizing data. The input of this process is JSON format data, and the output is JSON data received by the server.

[0636] Step 3:

[0637] The server parses the received JSON data and extracts each element (situation, characters, and lines). The parsed data is formatted as a prompt to be used in the next processing step. The input of this process is the JSON data received by the server, and the output is the formatted prompt.

[0638] Step 4:

[0639] Based on the formatted prompt, the server invokes a text generation model (e.g., OpenAI GPT-3) to generate an original script. The generated script is then converted back into JSON format. The input of this process is the prompt, and the output is the JSON data of the generated script.

[0640] Step 5:

[0641] The server inputs the JSON data of the generated script into a video generation model to generate CG animation. The video generation model automatically generates the movements of each character, background, and sound. The input to this process is the JSON data of the generated script, and the output is the generated video file.

[0642] Step 6:

[0643] The generated video file is uploaded and stored in Firebase Storage. The server obtains the URL of the video stored in Firebase Storage and sends a notification to the user's device. The input of this process is the generated video file, and the output is the video URL in Firebase Storage.

[0644] Step 7:

[0645] Users receive a notification on their device and click a link in the application to download the video. Furthermore, users can upload the video directly to various content distribution platforms by pressing the "Share" button. The input of this process is the video URL in Firebase Storage, and the output is the video uploaded to the distribution platform.

[0646] At each step, the user, terminal, and server each play a different role, and a series of processes are carried out, from data input to video generation and distribution.

[0647] 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.

[0648] This invention combines an emotion engine with a system that allows individual users to easily create original short videos. This system recognizes the user's emotions and generates content that is more personalized and engaging.

[0649] System Configuration

[0650] First, a user accesses the service's website or application. The user is provided with a form to input the situation, characters, and lines. The system then uses an emotion engine to recognize the user's emotions.

[0651] example

[0652] Let's assume that a user is trying to create a video set at a summer festival. The user fills out the form as follows:

[0653] Situation: Summer festival

[0654] Characters: Couple

[0655] Quote: "Talking while watching the fireworks"

[0656] At the same time, the emotion engine recognizes the user's emotions and extracts the emotional state as data.

[0657] Sending data

[0658] When the user completes the input and clicks the "Generate" button, the device formats the input information and the emotion data recognized by the emotion engine in JSON format and sends it to the server.

[0659] Script generation

[0660] The server receives the JSON data and analyzes it. The received data includes the situation, characters, lines, and emotional data. The server then provides input to a text generation AI based on this data to generate an original script. The emotional data is reflected in the dialogue and expressions in the script.

[0661] example

[0662] The server receives the JSON data and generates a script like this:

[0663] json

[0664] {

[0665] "Scene": "Summer Festival",

[0666] "Character": ["Couple"],

[0667] "Dialogue": "The fireworks are so beautiful."

[0668] }

[0669] Based on the emotion data, the line "The fireworks are so beautiful" may be changed depending on the user's emotion.

[0670] Video generation

[0671] Based on the generated script data, the image generation AI on the server creates CG animation. Emotional data is reflected in the character's expressions, movements, and background effects.

[0672] example

[0673] The server generates a CG animation of a couple looking up at fireworks. This animation includes the background of a summer festival and the effects of fireworks. Furthermore, the couple's facial expressions and movements are adjusted based on the emotional data.

[0674] Video provision

[0675] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[0676] example

[0677] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user accesses their personal page and clicks the download link to receive the generated video. The user can then play the downloaded video and post it to social media.

[0678] System Benefits

[0679] Using this system, users can easily create original videos without the need for specialized video production skills. The introduction of an emotion engine enables the creation of personalized content based on the user's emotions, improving the user experience. Furthermore, the system can generate high-quality content at low cost, meeting the diverse needs of individual users.

[0680] This invention provides a comprehensive system that allows users to easily create and share original videos, and by combining it with an emotion engine, it realizes an even more advanced content experience.

[0681] The processing flow will be explained below.

[0682] Step 1:

[0683] Users access the service's website or application and navigate to the video creation page. They enter the situation, characters, and lines in the provided form. The emotion engine then recognizes emotions in real time from the user's facial expressions and tone of voice, generating emotion data.

[0684] Step 2:

[0685] When the user clicks the "Generate" button, the device formats the input data (situation, characters, lines) and the emotion data generated by the emotion engine in JSON format and sends it to the server. This JSON data includes the following information:

[0686] json

[0687] {

[0688] "Situation": "Summer Festival",

[0689] "Characters": ["Couple"],

[0690] "Line": "Talking while watching the fireworks",

[0691] "Emotion": "Excitement"

[0692] }

[0693] Step 3:

[0694] The server receives the JSON data, parses it, checks if the received data is in the correct format, and prepares it for passing to the text generation AI and emotion engine.

[0695] Step 4:

[0696] The server provides the received data as input to the text generation AI. The text generation AI generates an original script that reflects the emotional data based on the situation, characters, and lines. For example, if the emotion is "excitement," the line would be "The fireworks are so beautiful, it's exciting!"

[0697] Step 5:

[0698] The server saves the generated script again in JSON format. An example of a generated script is as follows:

[0699] json

[0700] {

[0701] "Scene": "Summer Festival",

[0702] "Character": ["Couple"],

[0703] "Conversation": "The fireworks are so beautiful and exciting!"

[0704] }

[0705] Step 6:

[0706] The server passes the saved script data to the video generation AI, which then automatically generates the specified character movements, background, audio, and other elements based on the script. Emotional data is reflected in the character's facial expressions and movements.

[0707] Step 7:

[0708] The server saves the video file generated by the video generation AI. Once saving is complete, the server sends a notification to the user that generation is complete.

[0709] Step 8:

[0710] The user receives the notification and accesses My Page, where the server provides a download link for the video file generated.

[0711] Step 9:

[0712] Users can download the generated video by clicking the download link on their personal page. They can then play the downloaded video, save it to their device, or post it to social media.

[0713] This processing step allows users to easily create, save, and share original short videos that reflect their emotions. By using the emotion engine, the content and direction of the video are optimized to match the user's emotions, making it possible to generate more unique and appealing content.

[0714] Example 2

[0715] 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."

[0716] In today's world, it remains difficult for individual users to easily create original short videos. In particular, it is difficult for existing systems to generate personalized content that reflects the user's emotions. Furthermore, the video generation process is complex, requires specialized knowledge, and is expensive, so there is a need for a system that is easy for general users to use.

[0717] 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.

[0718] In this invention, the server includes means for the user to input a situation, characters, and lines, emotion recognition means for recognizing the user's emotions, server means for receiving the input data and the recognized emotion data, text generation means for generating an original script based on the received data, video generation means for generating CG animation based on the generated script, and means for providing the generated video to the user. This enables users to easily generate original, emotionally-reflective short videos without requiring specialized skills or high costs.

[0719] "User" means an individual or legal entity that uses the system to create short videos.

[0720] "Situation" refers to the background or location or situation of the video.

[0721] "Characters" are characters or people who play a role in the video.

[0722] "Dialogue" refers to the conversations and words spoken by characters.

[0723] "Emotion recognition means" is a technology for detecting a user's emotions and extracting that information as data.

[0724] "Data format" refers to the structure in which digital information is stored or transmitted.

[0725] "Server Means" means the computing resources that receive, process, and store data and operate in conjunction with other system components.

[0726] "Text Generation Means" means an algorithm or system for generating a script in natural language based on received data.

[0727] "Video generation means" refers to a technology or system for producing CG animation based on a generated script.

[0728] "CG animation" refers to animated videos created using computer graphics.

[0729] "Means for providing videos" refers to a function for distributing or providing the generated videos to users.

[0730] "Means for providing a review and download link" refers to the ability for a user to preview the generated video and provide a link to download the video.

[0731] This invention is a system that allows individual users to easily create original short videos, and combines it with an emotion engine. This system recognizes the user's emotions and generates content that is more personalized and engaging.

[0732] System Configuration

[0733] First, a user accesses the service's website or application. The user enters information about the situation, characters, and dialogue using a form. Next, an emotion engine (e.g., Emotion API or Sentiment Analysis) is used to recognize the user's emotions and extract their emotional state as data.

[0734] Specific examples

[0735] A user wants to create a video set at a summer festival, so they fill out the form as follows:

[0736] Situation: Summer festival

[0737] Characters: Couple

[0738] Quote: "Talking while watching the fireworks"

[0739] The emotion engine recognizes the user's emotion as "happiness" and acquires the emotion data.

[0740] Sending data

[0741] When the user has finished entering information and clicked the "Generate" button, the device will convert the entered information and emotion data into JSON format and send it to the server. Specifically, the following information will be sent:

[0742] Example of transmitted data:

[0743] json

[0744] {

[0745] "Situation": "Summer Festival",

[0746] "Characters": ["Couple"],

[0747] "Line": "Talking while watching the fireworks",

[0748] "Emotion": "Happiness"

[0749] }

[0750] Script generation

[0751] The server receives the JSON data and analyzes its contents. Based on the analyzed data, the server generates an original script using a text generation AI (e.g., GPT-3). The server provides the prompt sentence to the generation AI model and generates the script while taking into account the emotional data.

[0752] Example prompt:

[0753] Situation: Summer festival

[0754] Characters: Couple

[0755] Dialogue: Talking while watching the fireworks

[0756] Emotion: Happiness

[0757] The generated script is as follows:

[0758] json

[0759] {

[0760] "Scene": "Summer Festival",

[0761] "Character": ["Couple"],

[0762] "Dialogue": "The fireworks are so beautiful."

[0763] }

[0764] Video generation

[0765] The server uses image generation AI (e.g., RunwayML) to create CG animation based on the script data. The generated CG animation also reflects the emotional data, adjusting the character's facial expressions, movements, and background effects.

[0766] Specific examples

[0767] The server generates a CG animation of a couple looking up at fireworks. The animation includes a summer festival background and fireworks effects, and the characters' expressions reflect a sense of happiness.

[0768] Video provision

[0769] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[0770] Specific examples

[0771] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user can then access their personal page, download the video, play it, and post it to social media if desired.

[0772] System Benefits

[0773] Using this system, users can easily create original videos without needing specialized video production skills. The introduction of an emotion engine enables the creation of personalized content based on the user's emotions, improving the user experience. Furthermore, the system can generate high-quality content at low cost, satisfying the diverse needs of individual users.

[0774] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0775] Step 1:

[0776] A user accesses a website or application and inputs a situation, characters, and lines. The emotion recognition means recognizes the user's emotions.

[0777] Input: User-provided information about the situation, characters, and lines, as well as facial image or audio data.

[0778] Data processing: The emotion recognition means extracts the user's emotional state (e.g., happiness, sadness) as data.

[0779] Output: Input information and recognized emotion data.

[0780] Specific behavior:

[0781] The user inputs "summer festival, couple, 'talking while watching fireworks'" into the app, and the emotion recognition means analyzes the user's facial image and recognizes the emotion "happiness."

[0782] Step 2:

[0783] Once the user has completed entering the information, they click the "Generate" button. The device then formats the entered information and emotion data into JSON format and sends it to the server.

[0784] Input: User click action of "Generate" button.

[0785] Data processing: Format the input information and emotion data into JSON format.

[0786] Output: Pretty-printed JSON data.

[0787] Specific behavior:

[0788] The device generates JSON data containing information such as "summer festival, couple, 'talking while watching fireworks', happiness" and sends it to the server.

[0789] Step 3:

[0790] The server receives and analyzes the JSON data, then uses text generation AI to generate an original script.

[0791] Input: The received JSON data.

[0792] Data processing: Parse the JSON data and provide the prompt text to the text generation AI, which then generates the script.

[0793] Output: The generated script.

[0794] Specific behavior:

[0795] The server analyzes the JSON data "Summer festival, couple, 'talking while watching fireworks', happiness" and generates a script "Summer festival, couple, the fireworks are beautiful."

[0796] Step 4:

[0797] Based on the script data generated by the server, CG animation is created using video generation AI.

[0798] Input: Generated script data.

[0799] Data processing: Video generation AI generates CG animation based on script data, adjusting character expressions, movements, and background effects.

[0800] Output: Generated CG animation.

[0801] Specific behavior:

[0802] Based on the script "Summer festival, couple, beautiful fireworks," the server generates a CG animation of a scene in which a couple with happy expressions look up at fireworks.

[0803] Step 5:

[0804] The generated video is stored on the server and a download link is provided to the user's personal page.

[0805] Input: Generated CG animation.

[0806] Data processing: Save the video and send a notification to the user.

[0807] Output: Notification that a download link has been provided.

[0808] Specific behavior:

[0809] The server sends a notification to the user saying "The video has been generated. You can download it here," and the generated video is displayed as a download link on the user's My Page.

[0810] (Application example 2)

[0811] 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."

[0812] Conventional video generation systems only generate videos based on user input, making it difficult to generate personalized content that reflects the user's emotions. This can limit the user experience and reduce the appeal and quality of the generated content. Therefore, there is a need for a method that allows users to easily create high-quality videos without requiring specialized video production skills.

[0813] 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.

[0814] In this invention, the server includes emotion recognition means for recognizing a user's emotion and extracting the emotion data, means for receiving input data and emotion data, and text generation means for generating an original script based on the received data, thereby enabling the generation of personalized, high-quality videos that reflect the user's emotion.

[0815] "Situation" is information that allows the user to specify the background or setting of the video.

[0816] "Character" is information that allows a user to specify a specific character within a video.

[0817] "Lines" are information that specifies the words spoken by characters and the content of conversations within a video.

[0818] "Emotion recognition" is a technology that automatically analyzes emotions from a user's facial expressions, voice, etc. and extracts emotional data.

[0819] A "server" is a computer system that receives data and emotion data entered by a user and performs processing based on that data.

[0820] "Text generation" is the process of generating an original script based on the received situation, characters, dialogue, and emotion data.

[0821] "Video generation" is the process of creating CG animation based on the generated script.

[0822] The "means for providing the video" is a method for displaying the generated video to the user and making it available for download.

[0823] This invention combines an emotion engine with a system that allows users to easily create original short videos. The following describes the specific steps for implementing this system.

[0824] User Input and Emotion Recognition

[0825] Users access the application using a device such as a smartphone or tablet. The application screen displays a form for entering the situation, characters, and lines. For example, the following information can be entered:

[0826] Situation: Summer festival

[0827] Characters: Couple

[0828] Quote: "Talking while watching the fireworks"

[0829] At the same time, the device's camera is used to read the user's face and an emotion recognition engine (such as Google Cloud Vision API or Amazon Rekognition) extracts the user's emotional data, which is recorded in the form of happiness, surprise, sadness, etc.

[0830] Data transmission and analysis

[0831] The input information and extracted emotion data are formatted in JSON format and sent to a server, which receives the data and analyzes it efficiently. The server can be a cloud platform such as Google Cloud, AWS, or Azure.

[0832] Script generation and video generation

[0833] Based on the analyzed data, the server uses text generation AI (e.g., OpenAI GPT-4) to generate an original script that reflects the situation, characters, lines, and the user's emotional data.

[0834] Based on the generated script, the server uses a video generation engine (such as Unity or Unreal Engine) to create high-quality CG animation, including background scenes from the summer festival and fireworks effects, and adjusts the characters' expressions and movements based on emotional data.

[0835] Video provision and sharing

[0836] The completed video is saved on the server and a download link is provided to the user's My Page. The user can reopen the application and access My Page to download the video. The generated video can also be shared on social media immediately. The system will also send a notification message to the user informing them that the video has been generated.

[0837] Specific examples

[0838] For example, if a user enters the prompt "I want to make a video of a couple talking while watching fireworks at a summer festival," the following will happen:

[0839] 1. The user inputs the situation, characters, and lines, and the emotion recognition engine extracts the emotion data of joy.

[0840] 2. The server receives and analyzes this data.

[0841] 3. The text generation AI generates a script that includes the line, "The fireworks are so beautiful."

[0842] 4. The video generation engine generates a CG animation of a couple looking up at the fireworks in joy.

[0843] 5. The server stores the video and provides the user with a download link.

[0844] In this way, users can easily create high-quality original videos and provide emotionally appealing content, even if they do not have specialized video production skills.

[0845] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0846] Step 1:

[0847] The user accesses the application using a device and inputs the situation, characters, and lines. The emotion recognition engine recognizes the user's emotions in real time through the device's camera and extracts the data. For example, if the user inputs "summer festival" as the situation, the emotion of "joy" is detected through the camera.

[0848] Input: The user inputs the situation, characters, and lines. The device camera captures the user's facial expressions.

[0849] Output: Situation, characters, dialogue, and extracted emotion data.

[0850] Step 2:

[0851] The device formats the input information and extracted emotion data into JSON format and sends it to the server. The JSON data at this time will be in the following format.

[0852] Input: situation, characters, lines, emotional data.

[0853] Output: JSON format data. Send to: Server.

[0854] json

[0855] {

[0856] "Situation": "Summer Festival",

[0857] "Characters": "Couple",

[0858] "Line": "Talking while watching the fireworks",

[0859] "Emotion": "Joy"

[0860] }

[0861] Step 3:

[0862] The server parses the received JSON data to obtain the situation, characters, lines, and emotion data, and then generates a prompt for the text generation AI (OpenAI GPT-4) based on this data.

[0863] Input: JSON formatted data.

[0864] Output: Prompt text. This prompt text is passed to the text generation AI.

[0865] Step 4:

[0866] When the server inputs a prompt into the text generation AI, the AI ​​generates an original script based on the prompt. For example, the AI ​​might generate a line like, "The fireworks are so beautiful."

[0867] Input: prompt statement.

[0868] Output: The generated script, including the line "The fireworks are so beautiful."

[0869] Step 5:

[0870] The server then passes the generated script to a video generation AI (such as Unity or Unreal Engine), which generates CG animation based on the script. The character's facial expressions and movements are adjusted based on the emotional data.

[0871] Input: Generated script and emotion data.

[0872] Output: The completed CG animation shows a happy couple looking up at the fireworks.

[0873] Step 6:

[0874] The server saves the completed video and provides a download link to the user's My Page. The user can then reopen the application and access My Page to download the video. The generated video can also be shared on social media immediately.

[0875] Input: Your finished video.

[0876] Output: A download link. A message to notify the user.

[0877] This allows users to easily create high-quality original videos and provide personalized, attractive content, even if they do not have specialized video production skills.

[0878] 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.

[0879] 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.

[0880] 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.

[0881] [Third embodiment]

[0882] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0883] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0884] 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).

[0885] 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.

[0886] 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.

[0887] 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).

[0888] 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.

[0889] 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.

[0890] 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.

[0891] 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.

[0892] 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.

[0893] 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."

[0894] The present invention provides a system that allows individual users to easily create original short videos. Below, specific examples of the operation of the system are given to explain the mode for carrying out the invention.

[0895] System Configuration

[0896] First, a user accesses the service's website or application and is presented with a form to input the situation, characters, and dialogue. The form is designed to be easy to enter, with all the necessary input fields.

[0897] example

[0898] Let's assume that a user is trying to create a video set at a summer festival. The user fills out the form as follows:

[0899] Situation: Summer festival

[0900] Characters: Couple

[0901] Quote: "Talking while watching the fireworks"

[0902] Sending data

[0903] When the user completes the input and clicks the "Generate" button, the device sends the input information to the server, which formats the data in JSON format and sends it to the server.

[0904] Script generation

[0905] Based on the data received by the server, a text generation AI operates and generates an original script. This AI uses natural language processing technology to construct a scenario from the input situation, characters, and dialogue.

[0906] example

[0907] The server receives the JSON data and generates a script like this:

[0908] json

[0909] {

[0910] "Scene": "Summer Festival",

[0911] "Character": ["Couple"],

[0912] "Dialogue": "The fireworks are so beautiful."

[0913] }

[0914] Video generation

[0915] Based on the generated script data, the video generation AI on the server creates CG animation. The video generation AI automatically generates character movements, backgrounds, and audio, creating the final video file.

[0916] example

[0917] The server generates a CG animation of a couple looking up at fireworks, including a summer festival scene in the background and fireworks effects.

[0918] Video provision

[0919] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[0920] example

[0921] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user accesses their personal page and clicks the download link to receive the generated video. The user can then play the downloaded video and post it to social media.

[0922] System Benefits

[0923] This system allows users to easily create original videos without requiring specialized video production skills, and generates high-quality content at low cost, satisfying the diverse needs of individual users.

[0924] As can be seen from the above description, the present invention provides a comprehensive system that enables users to easily create and share original videos.

[0925] The processing flow will be explained below.

[0926] Step 1:

[0927] The user accesses the service's website or application and navigates to the video creation page. The user enters information such as the situation, characters, and lines into the provided form. Once the user has entered all the required information, they click the "Generate" button.

[0928] Step 2:

[0929] The device formats the data entered by the user in JSON format and sends it to the server. The data sent includes the situation, characters, and lines.

[0930] Step 3:

[0931] The server receives the JSON data, parses it, checks if the received data is in the correct format, and prepares it for passing to the text generation AI.

[0932] Step 4:

[0933] The server provides the received data on the situation, characters, and dialogue to the text generation AI, which then generates an original script based on this information.

[0934] Step 5:

[0935] The server receives the script generated by the text generation AI, and the generated script is saved again in JSON format.

[0936] Step 6:

[0937] The server passes the saved script data to the video generation AI, which then automatically generates CG animation based on the script, including the specified character movements, backgrounds, and audio.

[0938] Step 7:

[0939] The server saves the video file generated by the video generation AI, and once saving is complete, the server sends a notification to the user.

[0940] Step 8:

[0941] The user receives the notification and accesses My Page, where the server provides a download link for the video file generated.

[0942] Step 9:

[0943] Users can download the generated video by clicking the download link on their personal page. They can then play the downloaded video, save it to their device, or post it to social media.

[0944] This process allows users to easily create, save, and share original short videos. The specific steps in each step allow users to generate high-quality videos without requiring specialized skills or expensive costs.

[0945] Example 1

[0946] 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."

[0947] Conventional video creation systems require specialized skills and high costs for individual users to easily create high-quality original short videos. In addition, the video creation process is complex and difficult to automate efficiently. This makes it difficult for users to easily create and share video content.

[0948] 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.

[0949] In this invention, the server includes means for a user to input a situation, characters, and lines, data processing means for receiving the input data, natural language processing means for generating an original script based on the received data, video generation means for generating computer graphics based on the generated script, and means for providing the generated video to the user. This enables users to easily generate high-quality original videos without requiring specialized skills, and to meet a variety of video needs at low cost.

[0950] "User" means any individual or entity that accesses, inputs and uses data on the System.

[0951] "Situation" refers to the setting of the video, and is information that indicates a specific location or situation.

[0952] "Characters" refers to the characters that act within a situation, and are the subjects of actions and conversations in the video.

[0953] "Dialogue" refers to information that refers to the lines or conversations spoken by characters.

[0954] "Data processing means" refers to a server or computer system for receiving and processing data entered by a user.

[0955] "Natural language processing tools" refers to text generation AI models and algorithms that generate original scripts based on input data.

[0956] "Video generation means" refers to the AI ​​model or software used to generate computer graphics based on the generated script.

[0957] "Providing means" refers to a server or system for providing the generated video to users.

[0958] "Notification means" refers to a server or communication system for notifying users of the generated video and providing a download link.

[0959] "Storage means" refers to a storage or database system for storing the generated script in a structured data format.

[0960] A "structured data format" is a data format in which the data content is organized according to a certain format, and generally refers to JSON, XML, etc.

[0961] This invention is a system that allows individual users to easily create original short videos. This system allows users to input situations, characters, and lines, and generates original scripts and videos based on that data, ultimately realizing the process of providing the videos.

[0962] System Configuration

[0963] First, users access the service's website or application and enter data into a form to input the situation, characters, and dialogue. The form has input fields that allow users to easily enter information.

[0964] Specific examples

[0965] For example, if a user is trying to create a video set at a summer festival, they might fill out the form like this:

[0966] Situation: Summer festival

[0967] Characters: Couple

[0968] Quote: "Talking while watching the fireworks"

[0969] Sending data

[0970] Once the user has completed the input and clicked the "Generate" button, the device will convert the input information into JSON format and send it to the server, using the HTTPS protocol to ensure data security.

[0971] Script generation

[0972] Based on the data received by the server, a text generation AI model operates to generate an original script. This AI model uses natural language processing technology to construct a scenario based on the input data.

[0973] Specific examples

[0974] The server generates a script based on the data:

[0975] Scene: Summer Festival

[0976] Characters: Couple

[0977] Conversation: "The fireworks are so beautiful."

[0978] Video generation

[0979] Based on the generated script, a video generation AI on the server creates CG animation. This video generation AI automatically generates character movements, backgrounds, and audio, and creates the final video file.

[0980] Specific examples

[0981] It generates a scene of a couple looking up at fireworks against the backdrop of a summer festival, and also includes fireworks sound effects and detailed background descriptions.

[0982] Video storage and notifications

[0983] The generated video is stored on the server, and a download link is provided to the user's My Page. The server then sends a notification to the user saying, "The video has been generated. You can download it here."

[0984] Download videos

[0985] The user receives a notification and accesses their personal page to download the generated video, which they can then play or post to social media to share with other users.

[0986] System Benefits

[0987] This system allows users to easily create original videos without requiring specialized video production skills, and generates high-quality content at low cost, making it possible to meet the diverse needs of individual users.

[0988] From the above description, it can be seen that the present invention provides a comprehensive system that enables users to easily create and share original videos.

[0989] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0990] Step 1: User Enters Data

[0991] The user accesses the service's website or application and enters data into a form that allows the user to enter the situation, characters, and dialogue. This allows the user to enter data such as:

[0992] Situation: Summer festival

[0993] Characters: Couple

[0994] Quote: "Talking while watching the fireworks"

[0995] This data is given as input to the terminal and will be used in the next step.

[0996] Step 2: The device sends the data

[0997] When the user clicks the "Generate" button, the device converts the input data into JSON format and sends it to the server using the HTTPS protocol. The input is the situation, characters, and lines entered by the user, and the JSON data sent to the server is generated as output.

[0998] Specifically, the device generates the following JSON data and sends it to the server:

[0999] json

[1000] {

[1001] "Situation": "Summer Festival",

[1002] "Characters": "Couple",

[1003] "Line": "Talking while watching the fireworks"

[1004] }

[1005] Step 3: The server generates the script

[1006] The server receives the received JSON data as input and generates a script based on it using a text generation AI model. The generated script data is obtained as output. This AI model uses natural language processing technology to automatically create a scenario based on the input data.

[1007] Specifically, the server generates the following script data:

[1008] json

[1009] {

[1010] "Scene": "Summer Festival",

[1011] "Character": ["Couple"],

[1012] "Dialogue": "The fireworks are so beautiful."

[1013] }

[1014] Step 4: The server generates the video

[1015] The generated script data is used as input for the video generation AI on the server to create CG animation. The final video file is generated as output. This video generation AI automatically generates character movements, backgrounds, audio, and more to create a complete video file.

[1016] Specifically, the server generates a scene with a summer festival background and a couple looking up at fireworks, including sound effects of the fireworks and detailed descriptions of the background.

[1017] Step 5: The server saves the video and sends a notification

[1018] The generated video file is stored on the server and a download link is provided on the user's personal page. At this time, the server sends a notification to the user saying, "The video has been generated. You can download it here." The generated video file is the input, and the notification sent to the user is the output.

[1019] Specifically, the server sends a notification based on the user's contact information and places a download link on their personal page.

[1020] Step 6: User downloads the video

[1021] The user receives a notification and accesses their personal page to download the generated video. The input is a download link provided by the server, and the output is a video file saved on the user's device. The user can play the video or post it to social media to share it.

[1022] Specifically, the user accesses their personal page, clicks on the download link to obtain the video file, and then plays or shares it.

[1023] (Application example 1)

[1024] 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."

[1025] In today's content distribution services, individual users are required to easily and quickly create original short videos and upload them to distribution platforms for sharing. However, there is a lack of systems that can generate high-quality videos without requiring specialized video production skills or expensive software. This makes it difficult for ordinary users to easily enjoy content creation activities.

[1026] 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.

[1027] In this invention, the server includes means for a user to input a situation, characters, and lines, server means for receiving the input data, text generation means for generating an original script based on the received data, video generation means for generating CG animation based on the generated script, means for providing the generated video to the user, and means for uploading the generated video to a content distribution platform. This enables users to easily create original videos and quickly share them on the distribution platform.

[1028] "Means for the user to input the situation, characters, and lines" refers to an interface for inputting the situation, characters, and lines specified by the user.

[1029] The "server means for receiving input data" refers to a means for communicating with a server for receiving and processing data on situations, characters, and lines input by a user.

[1030] A "text generation means for generating an original script" is a means that includes natural language processing techniques used to automatically generate an original script based on input data.

[1031] "Video generation means for generating CG animation based on a generated script" refers to the techniques and means for producing CG animation based on a generated script.

[1032] The "means for providing the generated video to the user" refers to the technology and means for providing the generated video to the user so that the user can view and download it.

[1033] "Means for uploading the generated video to a content distribution platform" refers to means for uploading the generated video to various content distribution platforms (e.g., YouTube, Instagram, TikTok, etc.).

[1034] "Means for providing video preview and download link" refers to the technology and means for providing users with a preview and download link for the generated video.

[1035] "Means for providing a link to share the generated video on a content distribution platform" means means for providing a link established for sharing the generated video with third parties.

[1036] "Means for saving the generated script in JSON format" refers to means for saving the generated script in JSON format according to a data structure.

[1037] "Means for saving the generated video in cloud storage" refers to means for saving the generated video data in an external cloud storage service.

[1038] This invention is a system that allows users to input situations, characters, and lines, easily and quickly generate original short videos, and then upload them to a content distribution platform. This system mainly consists of the following hardware and software.

[1039] Hardware and software used

[1040] 1. User device: A device such as a smartphone or tablet. Flutter is used for application development.

[1041] 2. Server: Used for data processing and running generative AI models. Python (Flask) is used as the backend.

[1042] 3. Firebase: Used for database, authentication, and real-time data processing.

[1043] Data entry and submission

[1044] The user opens the application on their device and enters information into a form that includes the situation, characters, and dialogue. The entered data is converted into JSON format and sent to the server via Firebase.

[1045] Examples:

[1046] If a user fills out a form with the following:

[1047] Situation: Summer festival

[1048] Characters: Couple

[1049] Quote: "Talking while watching the fireworks"

[1050] Scriptwriting and video generation

[1051] The server processes the received JSON data and inputs it into a generative AI model (e.g., OpenAI GPT-3). The model uses natural language processing techniques to generate an original script. This script is then passed to a video generation AI (e.g., VQ-VAE) to generate a CG animation.

[1052] Example prompt sentence:

[1053] Situation: Summer festival

[1054] Characters: Couple

[1055] Dialogue: Talking while watching the fireworks

[1056] Providing and sharing videos

[1057] The generated video is saved in cloud storage (Firebase Storage) and the user is notified. The user can download the video by clicking a link in the app. In addition, the generated video is provided with an upload link to a content distribution platform (e.g. YouTube, Instagram, TikTok).

[1058] Specifically, after users check and download videos within the app, they can press the app's "Share" button to directly upload the generated videos to various content distribution platforms.

[1059] This procedure allows users to easily create high-quality original videos and share them on content distribution platforms without requiring any specialized skills.

[1060] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1061] Step 1:

[1062] The user launches the application on their device and inputs the situation, characters, and lines. This input data is converted to JSON format on the user's device and structured as input information. The input for this process is the situation, characters, and lines input by the user, and the output is JSON format data.

[1063] Step 2:

[1064] The terminal sends the generated JSON data to the server via Firebase. Here, Firebase functions as a real-time database, receiving and synchronizing data. The input of this process is JSON format data, and the output is JSON data received by the server.

[1065] Step 3:

[1066] The server parses the received JSON data and extracts each element (situation, characters, and lines). The parsed data is formatted as a prompt to be used in the next processing step. The input of this process is the JSON data received by the server, and the output is the formatted prompt.

[1067] Step 4:

[1068] Based on the formatted prompt, the server invokes a text generation model (e.g., OpenAI GPT-3) to generate an original script. The generated script is then converted back into JSON format. The input of this process is the prompt, and the output is the JSON data of the generated script.

[1069] Step 5:

[1070] The server inputs the JSON data of the generated script into a video generation model to generate CG animation. The video generation model automatically generates the movements of each character, background, and sound. The input to this process is the JSON data of the generated script, and the output is the generated video file.

[1071] Step 6:

[1072] The generated video file is uploaded and stored in Firebase Storage. The server obtains the URL of the video stored in Firebase Storage and sends a notification to the user's device. The input of this process is the generated video file, and the output is the video URL in Firebase Storage.

[1073] Step 7:

[1074] Users receive a notification on their device and click a link in the application to download the video. Furthermore, users can upload the video directly to various content distribution platforms by pressing the "Share" button. The input of this process is the video URL in Firebase Storage, and the output is the video uploaded to the distribution platform.

[1075] At each step, the user, terminal, and server each play a different role, and a series of processes are carried out, from data input to video generation and distribution.

[1076] 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.

[1077] This invention combines an emotion engine with a system that allows individual users to easily create original short videos. This system recognizes the user's emotions and generates content that is more personalized and engaging.

[1078] System Configuration

[1079] First, a user accesses the service's website or application. The user is provided with a form to input the situation, characters, and lines. The system then uses an emotion engine to recognize the user's emotions.

[1080] example

[1081] Let's assume that a user is trying to create a video set at a summer festival. The user fills out the form as follows:

[1082] Situation: Summer festival

[1083] Characters: Couple

[1084] Quote: "Talking while watching the fireworks"

[1085] At the same time, the emotion engine recognizes the user's emotions and extracts the emotional state as data.

[1086] Sending data

[1087] When the user completes the input and clicks the "Generate" button, the device formats the input information and the emotion data recognized by the emotion engine in JSON format and sends it to the server.

[1088] Script generation

[1089] The server receives the JSON data and analyzes it. The received data includes the situation, characters, lines, and emotional data. The server then provides input to a text generation AI based on this data to generate an original script. The emotional data is reflected in the dialogue and expressions in the script.

[1090] example

[1091] The server receives the JSON data and generates a script like this:

[1092] json

[1093] {

[1094] "Scene": "Summer Festival",

[1095] "Character": ["Couple"],

[1096] "Dialogue": "The fireworks are so beautiful."

[1097] }

[1098] Based on the emotion data, the line "The fireworks are so beautiful" may be changed depending on the user's emotion.

[1099] Video generation

[1100] Based on the generated script data, the image generation AI on the server creates CG animation. Emotional data is reflected in the character's expressions, movements, and background effects.

[1101] example

[1102] The server generates a CG animation of a couple looking up at fireworks. This animation includes the background of a summer festival and the effects of fireworks. Furthermore, the couple's facial expressions and movements are adjusted based on the emotional data.

[1103] Video provision

[1104] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[1105] example

[1106] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user accesses their personal page and clicks the download link to receive the generated video. The user can then play the downloaded video and post it to social media.

[1107] System Benefits

[1108] Using this system, users can easily create original videos without the need for specialized video production skills. The introduction of an emotion engine enables the creation of personalized content based on the user's emotions, improving the user experience. Furthermore, the system can generate high-quality content at low cost, meeting the diverse needs of individual users.

[1109] This invention provides a comprehensive system that allows users to easily create and share original videos, and by combining it with an emotion engine, it realizes an even more advanced content experience.

[1110] The processing flow will be explained below.

[1111] Step 1:

[1112] Users access the service's website or application and navigate to the video creation page. They enter the situation, characters, and lines in the provided form. The emotion engine then recognizes emotions in real time from the user's facial expressions and tone of voice, generating emotion data.

[1113] Step 2:

[1114] When the user clicks the "Generate" button, the device formats the input data (situation, characters, lines) and the emotion data generated by the emotion engine in JSON format and sends it to the server. This JSON data includes the following information:

[1115] json

[1116] {

[1117] "Situation": "Summer Festival",

[1118] "Characters": ["Couple"],

[1119] "Line": "Talking while watching the fireworks",

[1120] "Emotion": "Excitement"

[1121] }

[1122] Step 3:

[1123] The server receives the JSON data, parses it, checks if the received data is in the correct format, and prepares it for passing to the text generation AI and emotion engine.

[1124] Step 4:

[1125] The server provides the received data as input to the text generation AI. The text generation AI generates an original script that reflects the emotional data based on the situation, characters, and lines. For example, if the emotion is "excitement," the line would be "The fireworks are so beautiful, it's exciting!"

[1126] Step 5:

[1127] The server saves the generated script again in JSON format. An example of a generated script is as follows:

[1128] json

[1129] {

[1130] "Scene": "Summer Festival",

[1131] "Character": ["Couple"],

[1132] "Conversation": "The fireworks are so beautiful and exciting!"

[1133] }

[1134] Step 6:

[1135] The server passes the saved script data to the video generation AI, which then automatically generates the specified character movements, background, audio, and other elements based on the script. Emotional data is reflected in the character's facial expressions and movements.

[1136] Step 7:

[1137] The server saves the video file generated by the video generation AI. Once saving is complete, the server sends a notification to the user that generation is complete.

[1138] Step 8:

[1139] The user receives the notification and accesses My Page, where the server provides a download link for the video file generated.

[1140] Step 9:

[1141] Users can download the generated video by clicking the download link on their personal page. They can then play the downloaded video, save it to their device, or post it to social media.

[1142] This processing step allows users to easily create, save, and share original short videos that reflect their emotions. By using the emotion engine, the content and direction of the video are optimized to match the user's emotions, making it possible to generate more unique and appealing content.

[1143] Example 2

[1144] 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."

[1145] In today's world, it remains difficult for individual users to easily create original short videos. In particular, it is difficult for existing systems to generate personalized content that reflects the user's emotions. Furthermore, the video generation process is complex, requires specialized knowledge, and is expensive, so there is a need for a system that is easy for general users to use.

[1146] 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.

[1147] In this invention, the server includes means for the user to input a situation, characters, and lines, emotion recognition means for recognizing the user's emotions, server means for receiving the input data and the recognized emotion data, text generation means for generating an original script based on the received data, video generation means for generating CG animation based on the generated script, and means for providing the generated video to the user. This enables users to easily generate original, emotionally-reflective short videos without requiring specialized skills or high costs.

[1148] "User" means an individual or legal entity that uses the system to create short videos.

[1149] "Situation" refers to the background or location or situation of the video.

[1150] "Characters" are characters or people who play a role in the video.

[1151] "Dialogue" refers to the conversations and words spoken by characters.

[1152] "Emotion recognition means" is a technology for detecting a user's emotions and extracting that information as data.

[1153] "Data format" refers to the structure in which digital information is stored or transmitted.

[1154] "Server Means" means the computing resources that receive, process, and store data and operate in conjunction with other system components.

[1155] "Text Generation Means" means an algorithm or system for generating a script in natural language based on received data.

[1156] "Video generation means" refers to a technology or system for producing CG animation based on a generated script.

[1157] "CG animation" refers to animated videos created using computer graphics.

[1158] "Means for providing videos" refers to a function for distributing or providing the generated videos to users.

[1159] "Means for providing a review and download link" refers to the ability for a user to preview the generated video and provide a link to download the video.

[1160] This invention is a system that allows individual users to easily create original short videos, and combines it with an emotion engine. This system recognizes the user's emotions and generates content that is more personalized and engaging.

[1161] System Configuration

[1162] First, a user accesses the service's website or application. The user enters information about the situation, characters, and dialogue using a form. Next, an emotion engine (e.g., Emotion API or Sentiment Analysis) is used to recognize the user's emotions and extract their emotional state as data.

[1163] Specific examples

[1164] A user wants to create a video set at a summer festival, so they fill out the form as follows:

[1165] Situation: Summer festival

[1166] Characters: Couple

[1167] Quote: "Talking while watching the fireworks"

[1168] The emotion engine recognizes the user's emotion as "happiness" and acquires the emotion data.

[1169] Sending data

[1170] When the user has finished entering information and clicked the "Generate" button, the device will convert the entered information and emotion data into JSON format and send it to the server. Specifically, the following information will be sent:

[1171] Example of transmitted data:

[1172] json

[1173] {

[1174] "Situation": "Summer Festival",

[1175] "Characters": ["Couple"],

[1176] "Line": "Talking while watching the fireworks",

[1177] "Emotion": "Happiness"

[1178] }

[1179] Script generation

[1180] The server receives the JSON data and analyzes its contents. Based on the analyzed data, the server generates an original script using a text generation AI (e.g., GPT-3). The server provides the prompt sentence to the generation AI model and generates the script while taking into account the emotional data.

[1181] Example prompt:

[1182] Situation: Summer festival

[1183] Characters: Couple

[1184] Dialogue: Talking while watching the fireworks

[1185] Emotion: Happiness

[1186] The generated script is as follows:

[1187] json

[1188] {

[1189] "Scene": "Summer Festival",

[1190] "Character": ["Couple"],

[1191] "Dialogue": "The fireworks are so beautiful."

[1192] }

[1193] Video generation

[1194] The server uses image generation AI (e.g., RunwayML) to create CG animation based on the script data. The generated CG animation also reflects the emotional data, adjusting the character's facial expressions, movements, and background effects.

[1195] Specific examples

[1196] The server generates a CG animation of a couple looking up at fireworks. The animation includes a summer festival background and fireworks effects, and the characters' expressions reflect a sense of happiness.

[1197] Video provision

[1198] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[1199] Specific examples

[1200] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user can then access their personal page, download the video, play it, and post it to social media if desired.

[1201] System Benefits

[1202] Using this system, users can easily create original videos without needing specialized video production skills. The introduction of an emotion engine enables the creation of personalized content based on the user's emotions, improving the user experience. Furthermore, the system can generate high-quality content at low cost, satisfying the diverse needs of individual users.

[1203] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1204] Step 1:

[1205] A user accesses a website or application and inputs a situation, characters, and lines. The emotion recognition means recognizes the user's emotions.

[1206] Input: User-provided information about the situation, characters, and lines, as well as facial image or audio data.

[1207] Data processing: The emotion recognition means extracts the user's emotional state (e.g., happiness, sadness) as data.

[1208] Output: Input information and recognized emotion data.

[1209] Specific behavior:

[1210] The user inputs "summer festival, couple, 'talking while watching fireworks'" into the app, and the emotion recognition means analyzes the user's facial image and recognizes the emotion "happiness."

[1211] Step 2:

[1212] Once the user has completed entering the information, they click the "Generate" button. The device then formats the entered information and emotion data into JSON format and sends it to the server.

[1213] Input: User click action of "Generate" button.

[1214] Data processing: Format the input information and emotion data into JSON format.

[1215] Output: Pretty-printed JSON data.

[1216] Specific behavior:

[1217] The device generates JSON data containing information such as "summer festival, couple, 'talking while watching fireworks', happiness" and sends it to the server.

[1218] Step 3:

[1219] The server receives and analyzes the JSON data, then uses text generation AI to generate an original script.

[1220] Input: The received JSON data.

[1221] Data processing: Parse the JSON data and provide the prompt text to the text generation AI, which then generates the script.

[1222] Output: The generated script.

[1223] Specific behavior:

[1224] The server analyzes the JSON data "Summer festival, couple, 'talking while watching fireworks', happiness" and generates a script "Summer festival, couple, the fireworks are beautiful."

[1225] Step 4:

[1226] Based on the script data generated by the server, CG animation is created using video generation AI.

[1227] Input: Generated script data.

[1228] Data processing: Video generation AI generates CG animation based on script data, adjusting character expressions, movements, and background effects.

[1229] Output: Generated CG animation.

[1230] Specific behavior:

[1231] Based on the script "Summer festival, couple, beautiful fireworks," the server generates a CG animation of a scene in which a couple with happy expressions look up at fireworks.

[1232] Step 5:

[1233] The generated video is stored on the server and a download link is provided to the user's personal page.

[1234] Input: Generated CG animation.

[1235] Data processing: Save the video and send a notification to the user.

[1236] Output: Notification that a download link has been provided.

[1237] Specific behavior:

[1238] The server sends a notification to the user saying "The video has been generated. You can download it here," and the generated video is displayed as a download link on the user's My Page.

[1239] (Application example 2)

[1240] 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."

[1241] Conventional video generation systems only generate videos based on user input, making it difficult to generate personalized content that reflects the user's emotions. This can limit the user experience and reduce the appeal and quality of the generated content. Therefore, there is a need for a method that allows users to easily create high-quality videos without requiring specialized video production skills.

[1242] 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.

[1243] In this invention, the server includes emotion recognition means for recognizing a user's emotion and extracting the emotion data, means for receiving input data and emotion data, and text generation means for generating an original script based on the received data, thereby enabling the generation of personalized, high-quality videos that reflect the user's emotion.

[1244] "Situation" is information that allows the user to specify the background or setting of the video.

[1245] "Character" is information that allows a user to specify a specific character within a video.

[1246] "Lines" are information that specifies the words spoken by characters and the content of conversations within a video.

[1247] "Emotion recognition" is a technology that automatically analyzes emotions from a user's facial expressions, voice, etc. and extracts emotional data.

[1248] A "server" is a computer system that receives data and emotion data entered by a user and performs processing based on that data.

[1249] "Text generation" is the process of generating an original script based on the received situation, characters, dialogue, and emotion data.

[1250] "Video generation" is the process of creating CG animation based on the generated script.

[1251] The "means for providing the video" is a method for displaying the generated video to the user and making it available for download.

[1252] This invention combines an emotion engine with a system that allows users to easily create original short videos. The following describes the specific steps for implementing this system.

[1253] User Input and Emotion Recognition

[1254] Users access the application using a device such as a smartphone or tablet. The application screen displays a form for entering the situation, characters, and lines. For example, the following information can be entered:

[1255] Situation: Summer festival

[1256] Characters: Couple

[1257] Quote: "Talking while watching the fireworks"

[1258] At the same time, the device's camera is used to read the user's face and an emotion recognition engine (such as Google Cloud Vision API or Amazon Rekognition) extracts the user's emotional data, which is recorded in the form of happiness, surprise, sadness, etc.

[1259] Data transmission and analysis

[1260] The input information and extracted emotion data are formatted in JSON format and sent to a server, which receives the data and analyzes it efficiently. The server can be a cloud platform such as Google Cloud, AWS, or Azure.

[1261] Script generation and video generation

[1262] Based on the analyzed data, the server uses text generation AI (e.g., OpenAI GPT-4) to generate an original script that reflects the situation, characters, lines, and the user's emotional data.

[1263] Based on the generated script, the server uses a video generation engine (such as Unity or Unreal Engine) to create high-quality CG animation, including background scenes from the summer festival and fireworks effects, and adjusts the characters' expressions and movements based on emotional data.

[1264] Video provision and sharing

[1265] The completed video is saved on the server and a download link is provided to the user's My Page. The user can reopen the application and access My Page to download the video. The generated video can also be shared on social media immediately. The system will also send a notification message to the user informing them that the video has been generated.

[1266] Specific examples

[1267] For example, if a user enters the prompt "I want to make a video of a couple talking while watching fireworks at a summer festival," the following will happen:

[1268] 1. The user inputs the situation, characters, and lines, and the emotion recognition engine extracts the emotion data of joy.

[1269] 2. The server receives and analyzes this data.

[1270] 3. The text generation AI generates a script that includes the line, "The fireworks are so beautiful."

[1271] 4. The video generation engine generates a CG animation of a couple looking up at the fireworks in joy.

[1272] 5. The server stores the video and provides the user with a download link.

[1273] In this way, users can easily create high-quality original videos and provide emotionally appealing content, even if they do not have specialized video production skills.

[1274] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1275] Step 1:

[1276] The user accesses the application using a device and inputs the situation, characters, and lines. The emotion recognition engine recognizes the user's emotions in real time through the device's camera and extracts the data. For example, if the user inputs "summer festival" as the situation, the emotion of "joy" is detected through the camera.

[1277] Input: The user inputs the situation, characters, and lines. The device camera captures the user's facial expressions.

[1278] Output: Situation, characters, dialogue, and extracted emotion data.

[1279] Step 2:

[1280] The device formats the input information and extracted emotion data into JSON format and sends it to the server. The JSON data at this time will be in the following format.

[1281] Input: situation, characters, lines, emotional data.

[1282] Output: JSON format data. Send to: Server.

[1283] json

[1284] {

[1285] "Situation": "Summer Festival",

[1286] "Characters": "Couple",

[1287] "Line": "Talking while watching the fireworks",

[1288] "Emotion": "Joy"

[1289] }

[1290] Step 3:

[1291] The server parses the received JSON data to obtain the situation, characters, lines, and emotion data, and then generates a prompt for the text generation AI (OpenAI GPT-4) based on this data.

[1292] Input: JSON formatted data.

[1293] Output: Prompt text. This prompt text is passed to the text generation AI.

[1294] Step 4:

[1295] When the server inputs a prompt into the text generation AI, the AI ​​generates an original script based on the prompt. For example, the AI ​​might generate a line like, "The fireworks are so beautiful."

[1296] Input: prompt statement.

[1297] Output: The generated script, including the line "The fireworks are so beautiful."

[1298] Step 5:

[1299] The server then passes the generated script to a video generation AI (such as Unity or Unreal Engine), which generates CG animation based on the script. The character's facial expressions and movements are adjusted based on the emotional data.

[1300] Input: Generated script and emotion data.

[1301] Output: The completed CG animation shows a happy couple looking up at the fireworks.

[1302] Step 6:

[1303] The server saves the completed video and provides a download link to the user's My Page. The user can then reopen the application and access My Page to download the video. The generated video can also be shared on social media immediately.

[1304] Input: Your finished video.

[1305] Output: A download link. A message to notify the user.

[1306] This allows users to easily create high-quality original videos and provide personalized, attractive content, even if they do not have specialized video production skills.

[1307] 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.

[1308] 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.

[1309] 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.

[1310] [Fourth embodiment]

[1311] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1312] 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.

[1313] 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).

[1314] 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.

[1315] 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.

[1316] 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).

[1317] 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.

[1318] 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.

[1319] 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.

[1320] 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.

[1321] 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.

[1322] 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.

[1323] 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."

[1324] The present invention provides a system that allows individual users to easily create original short videos. Below, specific examples of the operation of the system are given to explain the mode for carrying out the invention.

[1325] System Configuration

[1326] First, a user accesses the service's website or application and is presented with a form to input the situation, characters, and dialogue. The form is designed to be easy to enter, with all the necessary input fields.

[1327] example

[1328] Let's assume that a user is trying to create a video set at a summer festival. The user fills out the form as follows:

[1329] Situation: Summer festival

[1330] Characters: Couple

[1331] Quote: "Talking while watching the fireworks"

[1332] Sending data

[1333] When the user completes the input and clicks the "Generate" button, the device sends the input information to the server, which formats the data in JSON format and sends it to the server.

[1334] Script generation

[1335] Based on the data received by the server, a text generation AI operates and generates an original script. This AI uses natural language processing technology to construct a scenario from the input situation, characters, and dialogue.

[1336] example

[1337] The server receives the JSON data and generates a script like this:

[1338] json

[1339] {

[1340] "Scene": "Summer Festival",

[1341] "Character": ["Couple"],

[1342] "Dialogue": "The fireworks are so beautiful."

[1343] }

[1344] Video generation

[1345] Based on the generated script data, the video generation AI on the server creates CG animation. The video generation AI automatically generates character movements, backgrounds, and audio, creating the final video file.

[1346] example

[1347] The server generates a CG animation of a couple looking up at fireworks, including a summer festival scene in the background and fireworks effects.

[1348] Video provision

[1349] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[1350] example

[1351] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user accesses their personal page and clicks the download link to receive the generated video. The user can then play the downloaded video and post it to social media.

[1352] System Benefits

[1353] This system allows users to easily create original videos without requiring specialized video production skills, and generates high-quality content at low cost, satisfying the diverse needs of individual users.

[1354] As can be seen from the above description, the present invention provides a comprehensive system that enables users to easily create and share original videos.

[1355] The processing flow will be explained below.

[1356] Step 1:

[1357] The user accesses the service's website or application and navigates to the video creation page. The user enters information such as the situation, characters, and lines into the provided form. Once the user has entered all the required information, they click the "Generate" button.

[1358] Step 2:

[1359] The device formats the data entered by the user in JSON format and sends it to the server. The data sent includes the situation, characters, and lines.

[1360] Step 3:

[1361] The server receives the JSON data, parses it, checks if the received data is in the correct format, and prepares it for passing to the text generation AI.

[1362] Step 4:

[1363] The server provides the received data on the situation, characters, and dialogue to the text generation AI, which then generates an original script based on this information.

[1364] Step 5:

[1365] The server receives the script generated by the text generation AI, and the generated script is saved again in JSON format.

[1366] Step 6:

[1367] The server passes the saved script data to the video generation AI, which then automatically generates CG animation based on the script, including the specified character movements, backgrounds, and audio.

[1368] Step 7:

[1369] The server saves the video file generated by the video generation AI, and once saving is complete, the server sends a notification to the user.

[1370] Step 8:

[1371] The user receives the notification and accesses My Page, where the server provides a download link for the video file generated.

[1372] Step 9:

[1373] Users can download the generated video by clicking the download link on their personal page. They can then play the downloaded video, save it to their device, or post it to social media.

[1374] This process allows users to easily create, save, and share original short videos. The specific steps in each step allow users to generate high-quality videos without requiring specialized skills or expensive costs.

[1375] Example 1

[1376] 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."

[1377] Conventional video creation systems require specialized skills and high costs for individual users to easily create high-quality original short videos. In addition, the video creation process is complex and difficult to automate efficiently. This makes it difficult for users to easily create and share video content.

[1378] 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.

[1379] In this invention, the server includes means for a user to input a situation, characters, and lines, data processing means for receiving the input data, natural language processing means for generating an original script based on the received data, video generation means for generating computer graphics based on the generated script, and means for providing the generated video to the user. This enables users to easily generate high-quality original videos without requiring specialized skills, and to meet a variety of video needs at low cost.

[1380] "User" means any individual or entity that accesses, inputs and uses data on the System.

[1381] "Situation" refers to the setting of the video, and is information that indicates a specific location or situation.

[1382] "Characters" refers to the characters that act within a situation, and are the subjects of actions and conversations in the video.

[1383] "Dialogue" refers to information that refers to the lines or conversations spoken by characters.

[1384] "Data processing means" refers to a server or computer system for receiving and processing data entered by a user.

[1385] "Natural language processing tools" refers to text generation AI models and algorithms that generate original scripts based on input data.

[1386] "Video generation means" refers to the AI ​​model or software used to generate computer graphics based on the generated script.

[1387] "Providing means" refers to a server or system for providing the generated video to users.

[1388] "Notification means" refers to a server or communication system for notifying users of the generated video and providing a download link.

[1389] "Storage means" refers to a storage or database system for storing the generated script in a structured data format.

[1390] A "structured data format" is a data format in which the data content is organized according to a certain format, and generally refers to JSON, XML, etc.

[1391] This invention is a system that allows individual users to easily create original short videos. This system allows users to input situations, characters, and lines, and generates original scripts and videos based on that data, ultimately realizing the process of providing the videos.

[1392] System Configuration

[1393] First, users access the service's website or application and enter data into a form to input the situation, characters, and dialogue. The form has input fields that allow users to easily enter information.

[1394] Specific examples

[1395] For example, if a user is trying to create a video set at a summer festival, they might fill out the form like this:

[1396] Situation: Summer festival

[1397] Characters: Couple

[1398] Quote: "Talking while watching the fireworks"

[1399] Sending data

[1400] Once the user has completed the input and clicked the "Generate" button, the device will convert the input information into JSON format and send it to the server, using the HTTPS protocol to ensure data security.

[1401] Script generation

[1402] Based on the data received by the server, a text generation AI model operates to generate an original script. This AI model uses natural language processing technology to construct a scenario based on the input data.

[1403] Specific examples

[1404] The server generates a script based on the data:

[1405] Scene: Summer Festival

[1406] Characters: Couple

[1407] Conversation: "The fireworks are so beautiful."

[1408] Video generation

[1409] Based on the generated script, a video generation AI on the server creates CG animation. This video generation AI automatically generates character movements, backgrounds, and audio, and creates the final video file.

[1410] Specific examples

[1411] It generates a scene of a couple looking up at fireworks against the backdrop of a summer festival, and also includes fireworks sound effects and detailed background descriptions.

[1412] Video storage and notifications

[1413] The generated video is stored on the server, and a download link is provided to the user's My Page. The server then sends a notification to the user saying, "The video has been generated. You can download it here."

[1414] Download videos

[1415] The user receives a notification and accesses their personal page to download the generated video, which they can then play or post to social media to share with other users.

[1416] System Benefits

[1417] This system allows users to easily create original videos without requiring specialized video production skills, and generates high-quality content at low cost, making it possible to meet the diverse needs of individual users.

[1418] From the above description, it can be seen that the present invention provides a comprehensive system that enables users to easily create and share original videos.

[1419] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1420] Step 1: User Enters Data

[1421] The user accesses the service's website or application and enters data into a form that allows the user to enter the situation, characters, and dialogue. This allows the user to enter data such as:

[1422] Situation: Summer festival

[1423] Characters: Couple

[1424] Quote: "Talking while watching the fireworks"

[1425] This data is given as input to the terminal and will be used in the next step.

[1426] Step 2: The device sends the data

[1427] When the user clicks the "Generate" button, the device converts the input data into JSON format and sends it to the server using the HTTPS protocol. The input is the situation, characters, and lines entered by the user, and the JSON data sent to the server is generated as output.

[1428] Specifically, the device generates the following JSON data and sends it to the server:

[1429] json

[1430] {

[1431] "Situation": "Summer Festival",

[1432] "Characters": "Couple",

[1433] "Line": "Talking while watching the fireworks"

[1434] }

[1435] Step 3: The server generates the script

[1436] The server receives the received JSON data as input and generates a script based on it using a text generation AI model. The generated script data is obtained as output. This AI model uses natural language processing technology to automatically create a scenario based on the input data.

[1437] Specifically, the server generates the following script data:

[1438] json

[1439] {

[1440] "Scene": "Summer Festival",

[1441] "Character": ["Couple"],

[1442] "Dialogue": "The fireworks are so beautiful."

[1443] }

[1444] Step 4: The server generates the video

[1445] The generated script data is used as input for the video generation AI on the server to create CG animation. The final video file is generated as output. This video generation AI automatically generates character movements, backgrounds, audio, and more to create a complete video file.

[1446] Specifically, the server generates a scene with a summer festival background and a couple looking up at fireworks, including sound effects of the fireworks and detailed descriptions of the background.

[1447] Step 5: The server saves the video and sends a notification

[1448] The generated video file is stored on the server and a download link is provided on the user's personal page. At this time, the server sends a notification to the user saying, "The video has been generated. You can download it here." The generated video file is the input, and the notification sent to the user is the output.

[1449] Specifically, the server sends a notification based on the user's contact information and places a download link on their personal page.

[1450] Step 6: User downloads the video

[1451] The user receives a notification and accesses their personal page to download the generated video. The input is a download link provided by the server, and the output is a video file saved on the user's device. The user can play the video or post it to social media to share it.

[1452] Specifically, the user accesses their personal page, clicks on the download link to obtain the video file, and then plays or shares it.

[1453] (Application example 1)

[1454] 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."

[1455] In today's content distribution services, individual users are required to easily and quickly create original short videos and upload them to distribution platforms for sharing. However, there is a lack of systems that can generate high-quality videos without requiring specialized video production skills or expensive software. This makes it difficult for ordinary users to easily enjoy content creation activities.

[1456] 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.

[1457] In this invention, the server includes means for a user to input a situation, characters, and lines, server means for receiving the input data, text generation means for generating an original script based on the received data, video generation means for generating CG animation based on the generated script, means for providing the generated video to the user, and means for uploading the generated video to a content distribution platform. This enables users to easily create original videos and quickly share them on the distribution platform.

[1458] "Means for the user to input the situation, characters, and lines" refers to an interface for inputting the situation, characters, and lines specified by the user.

[1459] The "server means for receiving input data" refers to a means for communicating with a server for receiving and processing data on situations, characters, and lines input by a user.

[1460] A "text generation means for generating an original script" is a means that includes natural language processing techniques used to automatically generate an original script based on input data.

[1461] "Video generation means for generating CG animation based on a generated script" refers to the techniques and means for producing CG animation based on a generated script.

[1462] The "means for providing the generated video to the user" refers to the technology and means for providing the generated video to the user so that the user can view and download it.

[1463] "Means for uploading the generated video to a content distribution platform" refers to means for uploading the generated video to various content distribution platforms (e.g., YouTube, Instagram, TikTok, etc.).

[1464] "Means for providing video preview and download link" refers to the technology and means for providing users with a preview and download link for the generated video.

[1465] "Means for providing a link to share the generated video on a content distribution platform" means means for providing a link established for sharing the generated video with third parties.

[1466] "Means for saving the generated script in JSON format" refers to means for saving the generated script in JSON format according to a data structure.

[1467] "Means for saving the generated video in cloud storage" refers to means for saving the generated video data in an external cloud storage service.

[1468] This invention is a system that allows users to input situations, characters, and lines, easily and quickly generate original short videos, and then upload them to a content distribution platform. This system mainly consists of the following hardware and software.

[1469] Hardware and software used

[1470] 1. User device: A device such as a smartphone or tablet. Flutter is used for application development.

[1471] 2. Server: Used for data processing and running generative AI models. Python (Flask) is used as the backend.

[1472] 3. Firebase: Used for database, authentication, and real-time data processing.

[1473] Data entry and submission

[1474] The user opens the application on their device and enters information into a form that includes the situation, characters, and dialogue. The entered data is converted into JSON format and sent to the server via Firebase.

[1475] Examples:

[1476] If a user fills out a form with the following:

[1477] Situation: Summer festival

[1478] Characters: Couple

[1479] Quote: "Talking while watching the fireworks"

[1480] Scriptwriting and video generation

[1481] The server processes the received JSON data and inputs it into a generative AI model (e.g., OpenAI GPT-3). The model uses natural language processing techniques to generate an original script. This script is then passed to a video generation AI (e.g., VQ-VAE) to generate a CG animation.

[1482] Example prompt sentence:

[1483] Situation: Summer festival

[1484] Characters: Couple

[1485] Dialogue: Talking while watching the fireworks

[1486] Providing and sharing videos

[1487] The generated video is saved in cloud storage (Firebase Storage) and the user is notified. The user can download the video by clicking a link in the app. In addition, the generated video is provided with an upload link to a content distribution platform (e.g. YouTube, Instagram, TikTok).

[1488] Specifically, after users check and download videos within the app, they can press the app's "Share" button to directly upload the generated videos to various content distribution platforms.

[1489] This procedure allows users to easily create high-quality original videos and share them on content distribution platforms without requiring any specialized skills.

[1490] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1491] Step 1:

[1492] The user launches the application on their device and inputs the situation, characters, and lines. This input data is converted to JSON format on the user's device and structured as input information. The input for this process is the situation, characters, and lines input by the user, and the output is JSON format data.

[1493] Step 2:

[1494] The terminal sends the generated JSON data to the server via Firebase. Here, Firebase functions as a real-time database, receiving and synchronizing data. The input of this process is JSON format data, and the output is JSON data received by the server.

[1495] Step 3:

[1496] The server parses the received JSON data and extracts each element (situation, characters, and lines). The parsed data is formatted as a prompt to be used in the next processing step. The input of this process is the JSON data received by the server, and the output is the formatted prompt.

[1497] Step 4:

[1498] Based on the formatted prompt, the server invokes a text generation model (e.g., OpenAI GPT-3) to generate an original script. The generated script is then converted back into JSON format. The input of this process is the prompt, and the output is the JSON data of the generated script.

[1499] Step 5:

[1500] The server inputs the JSON data of the generated script into a video generation model to generate CG animation. The video generation model automatically generates the movements of each character, background, and sound. The input to this process is the JSON data of the generated script, and the output is the generated video file.

[1501] Step 6:

[1502] The generated video file is uploaded and stored in Firebase Storage. The server obtains the URL of the video stored in Firebase Storage and sends a notification to the user's device. The input of this process is the generated video file, and the output is the video URL in Firebase Storage.

[1503] Step 7:

[1504] Users receive a notification on their device and click a link in the application to download the video. Furthermore, users can upload the video directly to various content distribution platforms by pressing the "Share" button. The input of this process is the video URL in Firebase Storage, and the output is the video uploaded to the distribution platform.

[1505] At each step, the user, terminal, and server each play a different role, and a series of processes are carried out, from data input to video generation and distribution.

[1506] 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.

[1507] This invention combines an emotion engine with a system that allows individual users to easily create original short videos. This system recognizes the user's emotions and generates content that is more personalized and engaging.

[1508] System Configuration

[1509] First, a user accesses the service's website or application. The user is provided with a form to input the situation, characters, and lines. The system then uses an emotion engine to recognize the user's emotions.

[1510] example

[1511] Let's assume that a user is trying to create a video set at a summer festival. The user fills out the form as follows:

[1512] Situation: Summer festival

[1513] Characters: Couple

[1514] Quote: "Talking while watching the fireworks"

[1515] At the same time, the emotion engine recognizes the user's emotions and extracts the emotional state as data.

[1516] Sending data

[1517] When the user completes the input and clicks the "Generate" button, the device formats the input information and the emotion data recognized by the emotion engine in JSON format and sends it to the server.

[1518] Script generation

[1519] The server receives the JSON data and analyzes it. The received data includes the situation, characters, lines, and emotional data. The server then provides input to a text generation AI based on this data to generate an original script. The emotional data is reflected in the dialogue and expressions in the script.

[1520] example

[1521] The server receives the JSON data and generates a script like this:

[1522] json

[1523] {

[1524] "Scene": "Summer Festival",

[1525] "Character": ["Couple"],

[1526] "Dialogue": "The fireworks are so beautiful."

[1527] }

[1528] Based on the emotion data, the line "The fireworks are so beautiful" may be changed depending on the user's emotion.

[1529] Video generation

[1530] Based on the generated script data, the image generation AI on the server creates CG animation. Emotional data is reflected in the character's expressions, movements, and background effects.

[1531] example

[1532] The server generates a CG animation of a couple looking up at fireworks. This animation includes the background of a summer festival and the effects of fireworks. Furthermore, the couple's facial expressions and movements are adjusted based on the emotional data.

[1533] Video provision

[1534] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[1535] example

[1536] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user accesses their personal page and clicks the download link to receive the generated video. The user can then play the downloaded video and post it to social media.

[1537] System Benefits

[1538] Using this system, users can easily create original videos without the need for specialized video production skills. The introduction of an emotion engine enables the creation of personalized content based on the user's emotions, improving the user experience. Furthermore, the system can generate high-quality content at low cost, meeting the diverse needs of individual users.

[1539] This invention provides a comprehensive system that allows users to easily create and share original videos, and by combining it with an emotion engine, it realizes an even more advanced content experience.

[1540] The processing flow will be explained below.

[1541] Step 1:

[1542] Users access the service's website or application and navigate to the video creation page. They enter the situation, characters, and lines in the provided form. The emotion engine then recognizes emotions in real time from the user's facial expressions and tone of voice, generating emotion data.

[1543] Step 2:

[1544] When the user clicks the "Generate" button, the device formats the input data (situation, characters, lines) and the emotion data generated by the emotion engine in JSON format and sends it to the server. This JSON data includes the following information:

[1545] json

[1546] {

[1547] "Situation": "Summer Festival",

[1548] "Characters": ["Couple"],

[1549] "Line": "Talking while watching the fireworks",

[1550] "Emotion": "Excitement"

[1551] }

[1552] Step 3:

[1553] The server receives the JSON data, parses it, checks if the received data is in the correct format, and prepares it for passing to the text generation AI and emotion engine.

[1554] Step 4:

[1555] The server provides the received data as input to the text generation AI. The text generation AI generates an original script that reflects the emotional data based on the situation, characters, and lines. For example, if the emotion is "excitement," the line would be "The fireworks are so beautiful, it's exciting!"

[1556] Step 5:

[1557] The server saves the generated script again in JSON format. An example of a generated script is as follows:

[1558] json

[1559] {

[1560] "Scene": "Summer Festival",

[1561] "Character": ["Couple"],

[1562] "Conversation": "The fireworks are so beautiful and exciting!"

[1563] }

[1564] Step 6:

[1565] The server passes the saved script data to the video generation AI, which then automatically generates the specified character movements, background, audio, and other elements based on the script. Emotional data is reflected in the character's facial expressions and movements.

[1566] Step 7:

[1567] The server saves the video file generated by the video generation AI. Once saving is complete, the server sends a notification to the user that generation is complete.

[1568] Step 8:

[1569] The user receives the notification and accesses My Page, where the server provides a download link for the video file generated.

[1570] Step 9:

[1571] Users can download the generated video by clicking the download link on their personal page. They can then play the downloaded video, save it to their device, or post it to social media.

[1572] This processing step allows users to easily create, save, and share original short videos that reflect their emotions. By using the emotion engine, the content and direction of the video are optimized to match the user's emotions, making it possible to generate more unique and appealing content.

[1573] Example 2

[1574] 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."

[1575] In today's world, it remains difficult for individual users to easily create original short videos. In particular, it is difficult for existing systems to generate personalized content that reflects the user's emotions. Furthermore, the video generation process is complex, requires specialized knowledge, and is expensive, so there is a need for a system that is easy for general users to use.

[1576] 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.

[1577] In this invention, the server includes means for the user to input a situation, characters, and lines, emotion recognition means for recognizing the user's emotions, server means for receiving the input data and the recognized emotion data, text generation means for generating an original script based on the received data, video generation means for generating CG animation based on the generated script, and means for providing the generated video to the user. This enables users to easily generate original, emotionally-reflective short videos without requiring specialized skills or high costs.

[1578] "User" means an individual or legal entity that uses the system to create short videos.

[1579] "Situation" refers to the background or location or situation of the video.

[1580] "Characters" are characters or people who play a role in the video.

[1581] "Dialogue" refers to the conversations and words spoken by characters.

[1582] "Emotion recognition means" is a technology for detecting a user's emotions and extracting that information as data.

[1583] "Data format" refers to the structure in which digital information is stored or transmitted.

[1584] "Server Means" means the computing resources that receive, process, and store data and operate in conjunction with other system components.

[1585] "Text Generation Means" means an algorithm or system for generating a script in natural language based on received data.

[1586] "Video generation means" refers to a technology or system for producing CG animation based on a generated script.

[1587] "CG animation" refers to animated videos created using computer graphics.

[1588] "Means for providing videos" refers to a function for distributing or providing the generated videos to users.

[1589] "Means for providing a review and download link" refers to the ability for a user to preview the generated video and provide a link to download the video.

[1590] This invention is a system that allows individual users to easily create original short videos, and combines it with an emotion engine. This system recognizes the user's emotions and generates content that is more personalized and engaging.

[1591] System Configuration

[1592] First, a user accesses the service's website or application. The user enters information about the situation, characters, and dialogue using a form. Next, an emotion engine (e.g., Emotion API or Sentiment Analysis) is used to recognize the user's emotions and extract their emotional state as data.

[1593] Specific examples

[1594] A user wants to create a video set at a summer festival, so they fill out the form as follows:

[1595] Situation: Summer festival

[1596] Characters: Couple

[1597] Quote: "Talking while watching the fireworks"

[1598] The emotion engine recognizes the user's emotion as "happiness" and acquires the emotion data.

[1599] Sending data

[1600] When the user has finished entering information and clicked the "Generate" button, the device will convert the entered information and emotion data into JSON format and send it to the server. Specifically, the following information will be sent:

[1601] Example of transmitted data:

[1602] json

[1603] {

[1604] "Situation": "Summer Festival",

[1605] "Characters": ["Couple"],

[1606] "Line": "Talking while watching the fireworks",

[1607] "Emotion": "Happiness"

[1608] }

[1609] Script generation

[1610] The server receives the JSON data and analyzes its contents. Based on the analyzed data, the server generates an original script using a text generation AI (e.g., GPT-3). The server provides the prompt sentence to the generation AI model and generates the script while taking into account the emotional data.

[1611] Example prompt:

[1612] Situation: Summer festival

[1613] Characters: Couple

[1614] Dialogue: Talking while watching the fireworks

[1615] Emotion: Happiness

[1616] The generated script is as follows:

[1617] json

[1618] {

[1619] "Scene": "Summer Festival",

[1620] "Character": ["Couple"],

[1621] "Dialogue": "The fireworks are so beautiful."

[1622] }

[1623] Video generation

[1624] The server uses image generation AI (e.g., RunwayML) to create CG animation based on the script data. The generated CG animation also reflects the emotional data, adjusting the character's facial expressions, movements, and background effects.

[1625] Specific examples

[1626] The server generates a CG animation of a couple looking up at fireworks. The animation includes a summer festival background and fireworks effects, and the characters' expressions reflect a sense of happiness.

[1627] Video provision

[1628] The generated video is saved on the server and a download link is provided to the user's My Page. The user receives a notification and can access their My Page to download the video.

[1629] Specific examples

[1630] The server sends a notification to the user saying, "The video has been generated. You can download it here." The user can then access their personal page, download the video, play it, and post it to social media if desired.

[1631] System Benefits

[1632] Using this system, users can easily create original videos without needing specialized video production skills. The introduction of an emotion engine enables the creation of personalized content based on the user's emotions, improving the user experience. Furthermore, the system can generate high-quality content at low cost, satisfying the diverse needs of individual users.

[1633] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1634] Step 1:

[1635] A user accesses a website or application and inputs a situation, characters, and lines. The emotion recognition means recognizes the user's emotions.

[1636] Input: User-provided information about the situation, characters, and lines, as well as facial image or audio data.

[1637] Data processing: The emotion recognition means extracts the user's emotional state (e.g., happiness, sadness) as data.

[1638] Output: Input information and recognized emotion data.

[1639] Specific behavior:

[1640] The user inputs "summer festival, couple, 'talking while watching fireworks'" into the app, and the emotion recognition means analyzes the user's facial image and recognizes the emotion "happiness."

[1641] Step 2:

[1642] Once the user has completed entering the information, they click the "Generate" button. The device then formats the entered information and emotion data into JSON format and sends it to the server.

[1643] Input: User click action of "Generate" button.

[1644] Data processing: Format the input information and emotion data into JSON format.

[1645] Output: Pretty-printed JSON data.

[1646] Specific behavior:

[1647] The device generates JSON data containing information such as "summer festival, couple, 'talking while watching fireworks', happiness" and sends it to the server.

[1648] Step 3:

[1649] The server receives and analyzes the JSON data, then uses text generation AI to generate an original script.

[1650] Input: The received JSON data.

[1651] Data processing: Parse the JSON data and provide the prompt text to the text generation AI, which then generates the script.

[1652] Output: The generated script.

[1653] Specific behavior:

[1654] The server analyzes the JSON data "Summer festival, couple, 'talking while watching fireworks', happiness" and generates a script "Summer festival, couple, the fireworks are beautiful."

[1655] Step 4:

[1656] Based on the script data generated by the server, CG animation is created using video generation AI.

[1657] Input: Generated script data.

[1658] Data processing: Video generation AI generates CG animation based on script data, adjusting character expressions, movements, and background effects.

[1659] Output: Generated CG animation.

[1660] Specific behavior:

[1661] Based on the script "Summer festival, couple, beautiful fireworks," the server generates a CG animation of a scene in which a couple with happy expressions look up at fireworks.

[1662] Step 5:

[1663] The generated video is stored on the server and a download link is provided to the user's personal page.

[1664] Input: Generated CG animation.

[1665] Data processing: Save the video and send a notification to the user.

[1666] Output: Notification that a download link has been provided.

[1667] Specific behavior:

[1668] The server sends a notification to the user saying "The video has been generated. You can download it here," and the generated video is displayed as a download link on the user's My Page.

[1669] (Application example 2)

[1670] 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."

[1671] Conventional video generation systems only generate videos based on user input, making it difficult to generate personalized content that reflects the user's emotions. This can limit the user experience and reduce the appeal and quality of the generated content. Therefore, there is a need for a method that allows users to easily create high-quality videos without requiring specialized video production skills.

[1672] 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.

[1673] In this invention, the server includes emotion recognition means for recognizing a user's emotion and extracting the emotion data, means for receiving input data and emotion data, and text generation means for generating an original script based on the received data, thereby enabling the generation of personalized, high-quality videos that reflect the user's emotion.

[1674] "Situation" is information that allows the user to specify the background or setting of the video.

[1675] "Character" is information that allows a user to specify a specific character within a video.

[1676] "Lines" are information that specifies the words spoken by characters and the content of conversations within a video.

[1677] "Emotion recognition" is a technology that automatically analyzes emotions from a user's facial expressions, voice, etc. and extracts emotional data.

[1678] A "server" is a computer system that receives data and emotion data entered by a user and performs processing based on that data.

[1679] "Text generation" is the process of generating an original script based on the received situation, characters, dialogue, and emotion data.

[1680] "Video generation" is the process of creating CG animation based on the generated script.

[1681] The "means for providing the video" is a method for displaying the generated video to the user and making it available for download.

[1682] This invention combines an emotion engine with a system that allows users to easily create original short videos. The following describes the specific steps for implementing this system.

[1683] User Input and Emotion Recognition

[1684] Users access the application using a device such as a smartphone or tablet. The application screen displays a form for entering the situation, characters, and lines. For example, the following information can be entered:

[1685] Situation: Summer festival

[1686] Characters: Couple

[1687] Quote: "Talking while watching the fireworks"

[1688] At the same time, the device's camera is used to read the user's face and an emotion recognition engine (such as Google Cloud Vision API or Amazon Rekognition) extracts the user's emotional data, which is recorded in the form of happiness, surprise, sadness, etc.

[1689] Data transmission and analysis

[1690] The input information and extracted emotion data are formatted in JSON format and sent to a server, which receives the data and analyzes it efficiently. The server can be a cloud platform such as Google Cloud, AWS, or Azure.

[1691] Script generation and video generation

[1692] Based on the analyzed data, the server uses text generation AI (e.g., OpenAI GPT-4) to generate an original script that reflects the situation, characters, lines, and the user's emotional data.

[1693] Based on the generated script, the server uses a video generation engine (such as Unity or Unreal Engine) to create high-quality CG animation, including background scenes from the summer festival and fireworks effects, and adjusts the characters' expressions and movements based on emotional data.

[1694] Video provision and sharing

[1695] The completed video is saved on the server and a download link is provided to the user's My Page. The user can reopen the application and access My Page to download the video. The generated video can also be shared on social media immediately. The system will also send a notification message to the user informing them that the video has been generated.

[1696] Specific examples

[1697] For example, if a user enters the prompt "I want to make a video of a couple talking while watching fireworks at a summer festival," the following will happen:

[1698] 1. The user inputs the situation, characters, and lines, and the emotion recognition engine extracts the emotion data of joy.

[1699] 2. The server receives and analyzes this data.

[1700] 3. The text generation AI generates a script that includes the line, "The fireworks are so beautiful."

[1701] 4. The video generation engine generates a CG animation of a couple looking up at the fireworks in joy.

[1702] 5. The server stores the video and provides the user with a download link.

[1703] In this way, users can easily create high-quality original videos and provide emotionally appealing content, even if they do not have specialized video production skills.

[1704] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1705] Step 1:

[1706] The user accesses the application using a device and inputs the situation, characters, and lines. The emotion recognition engine recognizes the user's emotions in real time through the device's camera and extracts the data. For example, if the user inputs "summer festival" as the situation, the emotion of "joy" is detected through the camera.

[1707] Input: The user inputs the situation, characters, and lines. The device camera captures the user's facial expressions.

[1708] Output: Situation, characters, dialogue, and extracted emotion data.

[1709] Step 2:

[1710] The device formats the input information and extracted emotion data into JSON format and sends it to the server. The JSON data at this time will be in the following format.

[1711] Input: situation, characters, lines, emotional data.

[1712] Output: JSON format data. Send to: Server.

[1713] json

[1714] {

[1715] "Situation": "Summer Festival",

[1716] "Characters": "Couple",

[1717] "Line": "Talking while watching the fireworks",

[1718] "Emotion": "Joy"

[1719] }

[1720] Step 3:

[1721] The server parses the received JSON data to obtain the situation, characters, lines, and emotion data, and then generates a prompt for the text generation AI (OpenAI GPT-4) based on this data.

[1722] Input: JSON formatted data.

[1723] Output: Prompt text. This prompt text is passed to the text generation AI.

[1724] Step 4:

[1725] When the server inputs a prompt into the text generation AI, the AI ​​generates an original script based on the prompt. For example, the AI ​​might generate a line like, "The fireworks are so beautiful."

[1726] Input: prompt statement.

[1727] Output: The generated script, including the line "The fireworks are so beautiful."

[1728] Step 5:

[1729] The server then passes the generated script to a video generation AI (such as Unity or Unreal Engine), which generates CG animation based on the script. The character's facial expressions and movements are adjusted based on the emotional data.

[1730] Input: Generated script and emotion data.

[1731] Output: The completed CG animation shows a happy couple looking up at the fireworks.

[1732] Step 6:

[1733] The server saves the completed video and provides a download link to the user's My Page. The user can then reopen the application and access My Page to download the video. The generated video can also be shared on social media immediately.

[1734] Input: Your finished video.

[1735] Output: A download link. A message to notify the user.

[1736] This allows users to easily create high-quality original videos and provide personalized, attractive content, even if they do not have specialized video production skills.

[1737] 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.

[1738] 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.

[1739] 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.

[1740] 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.

[1741] 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.

[1742] 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.

[1743] 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).

[1744] 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.

[1745] 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."

[1746] 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.

[1747] 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).

[1748] 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.

[1749] 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.

[1750] 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.

[1751] 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.

[1752] 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.

[1753] 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.

[1754] 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.

[1755] 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.

[1756] 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.

[1757] 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.

[1758] The following is further disclosed regarding the above embodiment.

[1759] (Claim 1)

[1760] A means for the user to input a situation, characters, and lines;

[1761] a server means for receiving input data;

[1762] a text generation means for generating an original script based on the received data;

[1763] an image generation means for generating CG animation based on the generated script;

[1764] means for providing the generated video to a user;

[1765] A system including:

[1766] (Claim 2)

[1767] 10. The system of claim 1, further comprising means for providing a user with a review and download link for the video.

[1768] (Claim 3)

[1769] 10. The system of claim 1, further comprising: means for saving the generated script in a JSON format.

[1770] "Example 1"

[1771] (Claim 1)

[1772] A means for the user to input a situation, characters, and lines;

[1773] data processing means for receiving input data;

[1774] natural language processing means for generating an original script based on the received data;

[1775] a video generation means for generating computer graphics based on the generated script;

[1776] means for providing the generated video to a user;

[1777] A system including:

[1778] (Claim 2)

[1779] 10. The system of claim 1, further comprising a notification means for providing a notification and a download link of the generated video to the user.

[1780] (Claim 3)

[1781] 10. The system of claim 1, further comprising a storage means for storing the generated screenplay in a structured data format.

[1782] "Application Example 1"

[1783] (Claim 1)

[1784] A means for the user to input a situation, characters, and lines;

[1785] a server means for receiving input data;

[1786] a text generation means for generating an original script based on the received data;

[1787] an image generation means for generating CG animation based on the generated script;

[1788] means for providing the generated video to a user;

[1789] A means to upload the generated video to a content distribution platform

[1790] A system including:

[1791] (Claim 2)

[1792] 10. The system of claim 1, further comprising: means for providing a user with a review and download link for the video, and means for providing a link for sharing the generated video to a content distribution platform.

[1793] (Claim 3)

[1794] 10. The system of claim 1, further comprising: means for saving the generated script in JSON format; and means for saving the generated video in cloud storage.

[1795] "Example 2: Combining Emotion Engines"

[1796] (Claim 1)

[1797] A means for the user to input a situation, characters, and lines;

[1798] emotion recognition means for recognizing an emotion of a user;

[1799] a server means for receiving input data and recognized emotion data;

[1800] a text generation means for generating an original script based on the received data;

[1801] an image generation means for generating CG animation based on the generated script;

[1802] means for providing the generated video to a user;

[1803] A system including:

[1804] (Claim 2)

[1805] 10. The system of claim 1, further comprising means for providing a user with a review and download link for the video.

[1806] (Claim 3)

[1807] 10. The system of claim 1, further comprising means for saving the generated script in a data format.

[1808] "Application example 2 when combining emotion engines"

[1809] (Claim 1)

[1810] A means for the user to input a situation, characters, and lines;

[1811] emotion recognition means for recognizing a user's emotion and extracting the emotion data;

[1812] a server means for receiving input data and emotion data;

[1813] a text generation means for generating an original script based on the received data;

[1814] an image generation means for generating CG animation based on the generated script;

[1815] means for providing the generated video to a user;

[1816] A system including:

[1817] (Claim 2)

[1818] 10. The system of claim 1, further comprising means for providing a user with a review and download link for the video.

[1819] (Claim 3)

[1820] 10. The system of claim 1, further comprising: means for saving the generated script in a JSON format. [Explanation of symbols]

[1821] 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 a situation, characters, and lines; a server means for receiving input data; a text generation means for generating an original script based on the received data; an image generation means for generating CG animation based on the generated script; means for providing the generated video to a user; A system including:

2. The system of claim 1 , further comprising: means for providing a user with a review and download link for the video.

3. The system of claim 1 , further comprising means for saving the generated script in JSON format.

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