Information processing systems, information processing methods, and programs

Abstract

We provide technology that makes it easy to propose the video conversion of various types of content. [Solution] The novel information acquisition unit 60 acquires novel information transmitted from the user terminal 2. The video information generation unit 61 generates video information, including information about the "synopsis," "characters," "filming locations," "headlines," and "recommendation text" of the novel or story, based on the novel information acquired by the novel information acquisition unit 60. The suggestion information generation unit 62 generates suggestion information that can be further suggested to the video information generated by the video information generation unit 61. The estimation information generation unit 63 performs estimation regarding the video adaptation of text or audio and generates estimation information regarding the estimation results. The video information transmission unit 64 transmits the video information generated by the video information generation unit 61, the suggestion information generated by the suggestion information generation unit 62, and the estimation information generated by the estimation information generation unit 63 to the user terminal 2.

Description

Technical Field

[0001] The present disclosure relates to an information processing system, an information processing method, and a program.

Background Art

[0002] In recent years, due to the development of various machine learning technologies, etc., technologies such as text translation and summarization have improved dramatically. For example, according to the technology described in Patent Document 1, a technology for generating a summary of language data by utilizing a technology such as a so-called large language model is disclosed.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the technology described in Patent Document 1 above can only create a summary by simply utilizing a large language model or the like, and cannot be said to be sufficient for application in the actual society.

[0005] The present disclosure has been made in view of such a situation, and an object thereof is to provide a technology that can easily make a proposal regarding visualization of various contents.

[0006] To achieve the above object, an information processing system according to one aspect of the present disclosure includes first information acquisition means for acquiring first information related to text or voice, and second information generation means for outputting second information related to content conversion or promotion of the text or the voice based on the first information. The information processing system is provided with these.

[0007] An information processing method and program according to one aspect of this disclosure are also provided as an information processing method or program corresponding to an information processing system according to one aspect of this disclosure. [Effects of the Invention]

[0008] This disclosure provides a technology that makes it easy to propose the creation of video content from various types of content. [Brief explanation of the drawing]

[0009] [Figure 1] This figure shows an example of the configuration of an information processing system according to one embodiment of the present disclosure. [Figure 2] This figure shows an example of the hardware configuration of a server constituting an information processing system according to one embodiment of the present disclosure. [Figure 3] This figure shows an example of the functional configuration of a server and a user terminal constituting an information processing system according to one embodiment of the present disclosure. [Figure 4] This figure shows an example of an image displayed on a user terminal that constitutes an information processing system according to one embodiment of the present disclosure. [Figure 5] This flowchart shows an example of the processing flow executed by a server constituting an information processing system according to one embodiment of this disclosure. [Figure 6] This figure illustrates an example of information stored in a server constituting an information processing system according to one embodiment of the present disclosure. [Modes for carrying out the invention]

[0010] [Embodiment] Figure 1 is a diagram showing an example of the configuration of an information processing system according to one embodiment of the present disclosure (hereinafter referred to as "the System").

[0011] As shown in Figure 1, this system is configured to include, for example, a server 1 and a user terminal 2. Server 1 and user terminal 2 are connected via a predetermined network such as the Internet. However, the network is not a mandatory component, and other technologies such as NFC (Near Field Communication), Bluetooth (registered trademark), and LAN (Local Area Network) may be used.

[0012] Server 1 is an information processing device managed by the system administrator or other relevant personnel. Server 1 is composed of, for example, a general-purpose PC (Personal Computer). Server 1 performs various processes related to the services provided by this system.

[0013] User terminal 2 is an information processing terminal used by users who wish to receive services related to this system. User terminal 2 consists of, for example, a general-purpose PC or smartphone. User terminal 2 receives input information from the user and transmits various input information to server 1.

[0014] Figure 2 shows an example of the hardware configuration of a server constituting an information processing system according to one embodiment of the present disclosure.

[0015] As shown in Figure 2, Server 1 comprises a control unit 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an output unit 16, an input unit 17, a storage unit 18, a communication unit 19, and a drive 20.

[0016] The control unit 11 is composed of a microcomputer including a CPU, GPU, and semiconductor memory. The control unit 11 executes various processes according to the program recorded in the ROM 12 or the program loaded from the storage unit 18 into the RAM 13. RAM13 also stores information necessary for the control unit 11 to perform various processes.

[0017] The control unit 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output interface 15 is also connected to this bus 14. An output unit 16, an input unit 17, a storage unit 18, a communication unit 19, and a drive 20 are connected to the input / output interface 15.

[0018] The output unit 16 is composed of various displays, speakers, etc. The output unit 16 outputs various images, sounds, etc.

[0019] The input unit 17 is composed of, for example, a keyboard, a mouse, etc. The input unit 17 receives the input of various information.

[0020] The storage unit 18 is composed of an HDD (Hard Disk Drive), an SSD (Solid State Drive), etc., and stores various information. Various programs related to the provision of this service, etc. are stored in the storage unit 18.

[0021] The communication unit 19 controls communication, etc. with other hardware, etc. via a network N including the Internet.

[0022] The drive 20 is provided as needed. A removable medium 31 made of a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, etc. is appropriately mounted on the drive 20. Programs for executing various processes, etc. are stored in the removable medium 31. The program read from the removable medium 31 by the drive 20 is installed in the storage unit 18 as needed. Also, the removable medium 31 can store various information stored in the storage unit 18 in the same manner as the storage unit 18.

[0023] The hardware configuration of user terminal 2 can be basically the same as that of server 1, but the input section of user terminal 2 (not shown) can include, for example, various cameras, scanners, microphones, etc. Note that these configurations are not unique to user terminal 2, and server 1 can also adopt a similar configuration in its input section 17.

[0024] Figure 3 shows an example of the functional configuration of a server and user terminal constituting an information processing system according to one embodiment of the present disclosure. First, let's describe an example of the functional configuration of the user terminal 2. As shown in Figure 3, the control unit 100 of the user terminal 2 functions as an input receiving unit 120, an image information acquisition unit 121, and an output control unit 122 by executing various programs.

[0025] The input receiving unit 120 receives various input information from the user. Specifically, the input receiving unit 120 acquires, for example, first information relating to text or audio of a novel or story. The input receiving unit 120 receives, for example, text information relating to a novel or story (hereinafter referred to as "novel information") from the user and transmits the received novel information to the server 1.

[0026] The image information acquisition unit 121 acquires the image information, proposed information, and estimated information transmitted from the server 1 via the communication unit 110.

[0027] The output control unit 122 performs control to display various images, sounds, etc., on an output unit (not shown). Specifically, the output control unit 122 performs control to display, for example, the image information, proposed information, and estimated information acquired by the image information acquisition unit 121 on an output unit (not shown).

[0028] Next, an example of the functional configuration of Server 1 will be described. As shown in Figure 3, the control unit 11 of Server 1 functions as a novel information acquisition unit 60, a video information generation unit 61, a proposal information generation unit 62, an estimation information generation unit 63, and a video information transmission unit 64 by executing various programs. In addition, a video content DB 300 is provided in one area of ​​the storage unit 18 of Server 1. The video content DB 300 is assumed to store a wide variety of information about past video works, such as the time and cost spent on production and preparation of past video works, viewership ratings of past video works, the number of viewers, the number of views, the number of audience members, the number of rentals, the content and number of times they were introduced in magazines, web articles, media, etc., the content and number of times they were introduced on SNS, etc., the content and number of times they were quoted, the number of high ratings, the sales figures of the original works of past video works, the characters, synopsis, filming locations, headlines, recommendation text, etc.

[0029] The novel information acquisition unit 60 acquires novel information transmitted from the user terminal 2 via the communication unit 19.

[0030] The video information generation unit 61 outputs second information relating to the video adaptation of text or audio related to a novel or story, based on the first information. Specifically, the video information generation unit 61 generates information useful for the video adaptation of a novel or story (hereinafter referred to as "video information"), including information about the "synopsis," "characters," "filming locations," "headlines," and "recommendation" of the novel or story, based on the novel information acquired by the novel information acquisition unit 60. Details of the video information will be described later with reference to Figure 4. Here, the image information generation unit 61 can also utilize so-called generative AI (Artificial Intelligence) or large-scale language models when generating image information. Specifically, the image information generation unit 61 is equipped with a generative AI utilization unit 70. The generation AI utilization unit 70 may acquire various information useful for generating visual information by providing various information, including novel information acquired by the novel information acquisition unit 60, to a large-scale language model, etc. Specifically, the generation AI utilization unit 70 may, for example, use the information acquired by the generation AI, etc., as visual information as is, or it may modify or process some of the information to create visual information. However, it is optional whether or not the visual information generation unit 61 uses various generation AIs, etc., when generating visual information, and the visual information generation unit 61 may generate visual information without using various generation AIs, etc.

[0031] The proposal information generation unit 62 generates additional information (hereinafter referred to as "proposal information") that can be proposed to the image information generated by the image information generation unit 61. Specifically, the proposal information generation unit 62 generates information about potential actors or entertainers for each of the "characters" included in the video production information. The proposal information generation unit 62 also generates information about potential producers of the video production of the text or audio. Furthermore, the proposal information generation unit 62 generates information about potential real-world indoor or outdoor locations for each of the "filming locations" included in the video production information. The proposal information generation unit 62 may generate proposal information based on, for example, a database of talents, a database of common filming locations, performance information on past content (e.g., sales figures, audience attendance figures for film adaptations, television broadcast ratings, etc.), various survey information, comments and evaluation information obtained from the internet, etc.

[0032] The estimation information generation unit 63 performs estimations regarding the visualization of text or audio and generates information related to the estimation results (hereinafter referred to as "estimated information"). Specifically, the estimation information generation unit 63 estimates, for example, the time and cost required for filming. The estimation information generation unit 63 estimates the time and cost required for filming by calculating, for example, the time and cost incurred for similar past works, the number of actors and extras for each scene if it were to be filmed, the amount of time they are on screen, the amount of time they are required to be on set multiplied by a coefficient, etc., as well as the preparation time required for location scouting and meetings, CG VFX animation creation and actor coordination, rehearsals, test screenings, meetings with the media, etc., and the cost per person, etc., and then estimates the time and cost required for filming. Furthermore, the estimated information generation unit 63 estimates, for example, the sales that can be generated from the film adaptation. The estimated information generation unit 63 estimates the sales that can be generated from the film adaptation based on data such as viewership ratings, number of viewers, and audience attendance figures for similar past works.

[0033] The video information transmission unit 64 transmits the video information generated by the video information generation unit 61, the proposed information generated by the proposed information generation unit 62, and the estimated information generated by the estimated information generation unit 63 to the user terminal 2.

[0034] Figure 4 shows an example of an image displayed on a user terminal that constitutes an information processing system according to one embodiment of the present disclosure. Figure 4 shows an example of the video adaptation information output for a given novel. Specifically, Figure 4 displays the novel's "title," "author," "headlines," "synopsis," "main characters," "main filming scenes," and "recommendation." Here, "title" refers to the title of the novel in question, and "author" refers to the name of the author of the novel in question. A "headline" is a concise sentence that briefly summarizes the content of the novel in question. In the example in Figure 4, the headline is represented by a sentence of a few dozen characters. A "synopsis" is a general outline or summary of the novel in question. In the example in Figure 4, the synopsis is expressed in a text of several hundred characters. "Main characters" refers to the main characters appearing in the novel in question. In the example in Figure 4, the names, genders, ages, time periods, and brief characteristics of each character are displayed. "Main filming locations" refers to representative locations and scenes (settings) that appear in the novel in question. In the example in Figure 4, for instance, the representative location in the novel is "Marine Resources Development Research Institute, Matsuminami Town, Southern Ehime Prefecture," and representative scenes (settings) in the novel set at this location are shown as "In front of the institute: A scene of researchers leaving," "Laboratory: Researchers discussing an experiment," and "Pump room: Pumping seawater from the ocean." A "recommendation statement" is a brief piece of writing that expresses the merits of the novel in question.

[0035] This system may, for example, generate video information from the information shown in Figure 4. In this case, as described above, this system may use so-called generative AI or large-scale language models to generate video information that includes the information of each item shown in Figure 4. However, this system may also generate video information using a proprietary algorithm created by, for example, the system administrator, or any other arbitrary method. The method by which this system generates video information is arbitrary.

[0036] Figure 5 is a flowchart showing an example of the processing flow executed by a server constituting an information processing system according to one embodiment of the present disclosure. In step S1, the novel information acquisition unit 60 of server 1 acquires the novel information transmitted from user terminal 2 via the communication unit 19.

[0037] In step S2, the video information generation unit 61 of server 1 generates video information that includes information about the "synopsis," "characters," "filming locations," "headlines," and "recommendation" of the novel or story, based on the novel information acquired by the novel information acquisition unit 60.

[0038] In step S3, the suggestion information generation unit 62 of server 1 generates additional suggestion information that can be proposed to the visualized information generated by the visualized information generation unit 61. Specifically, in step 3, the proposed information generation unit 62 generates information for each of the "characters" included in the video production information, information for each of the "characters" included in the video production information, information for each of the "filming locations" included in the video production information, and information for each of the "filming locations" included in the video production information, information for real indoor or outdoor locations that could be used as filming locations.

[0039] In step S4, the estimated information generation unit 63 of server 1 performs estimations regarding the visualization of text or audio and generates estimated information regarding the estimation results. Specifically, in step S4, the estimated information generation unit 63 estimates, for example, the time and cost required for video production, and the sales that can be generated from video production.

[0040] In step S5, the video information transmission unit 64 transmits the video information generated by the video information generation unit 61, the proposed information generated by the proposed information generation unit 62, and the estimated information generated by the estimated information generation unit 63 to the user terminal 2. This completes the various processes performed by the server 1.

[0041] Although one embodiment of the present disclosure has been described above, the present disclosure is not limited to the embodiment described above, and modifications, improvements, etc., to the extent that they can achieve the purpose of the present disclosure are included in the present disclosure.

[0042] [Other embodiments] Here, we will provide some supplementary information regarding the use of generative AI and large-scale language models in this system. In the embodiments described above, only a brief explanation was given, but this system can utilize various services related to generative AI and large-scale language models, such as ChatGPT, Gemini®, and QuillBot, for generating various types of information (especially visualized information). In generative AI and large-scale language models, users can generally obtain output results from large-scale language models trained on a large amount of training data by giving instructions called prompts. In other words, this system may generate visualized information, etc., through the algorithm used for training. Alternatively, this system may generate visualized information, etc., through instruction input (prompts) to the generative AI or large-scale language model. However, since services related to generative AI and large-scale language models are basically based on the premise of general-purpose use, it is difficult to satisfy all of the diverse needs of users with only simple instructions. Therefore, it is important to check and correct the output results obtained from generative AI and large-scale language models, and it is also important to set the prompts provided to the generative AI and large-scale language models. Based on these considerations, this system can generate various types of information for visual adaptation of novels or stories in the most optimal way possible, utilizing various services related to generative AI and large-scale language models as needed. Furthermore, by comparing the visual adaptation information thus generated with information from past video content, this system can generate even more useful suggestion and estimation information for visual adaptation. As a result, users of this system can obtain useful information very easily when visualizing novels or stories.

[0043] Furthermore, although the above-described embodiment explained that the system generates video information including information about the "synopsis," "characters," "filming locations," "headlines," and "recommendations" of a novel or story, the information included in the video information is merely illustrative and not limited to it. The system may include any information necessary for the video adaptation of a novel or story. Specifically, the system may generate, for example, a character relationship diagram, a script, a screenplay, simple image content (such as illustrative images), character biographies and summaries, and reader impressions as part of the video information.

[0044] Furthermore, although not explained in the embodiments described above, the novels or stories related to this system may broadly include, for example, literary novels, popular novels, essays, columns, light novels, short novels, children's books, radio dramas, etc., and may include any text medium. Moreover, these may be fiction or non-fiction.

[0045] Furthermore, the video content related to this system may broadly include, for example, television, IP (Internet Protocol), various SNS (Social Networking Services), the Web, movies, anime, etc., and may include any video medium.

[0046] Furthermore, in the embodiments described above, the system was explained as generating information about potential actors for character roles, potential producers for the film adaptation, and potential filming locations as examples of proposed information, but this is merely illustrative and not limiting. The system may also generate other arbitrary information as proposed information if there is information that can be proposed for film adaptation by associating it with other arbitrary information.

[0047] Furthermore, while the various types of information stored in the video content DB300 of this system were shown in the embodiments described above, these are all illustrative and not limiting. The information stored in the video content DB300 may include any information that can be obtained regarding video works in the past or future.

[0048] Furthermore, although not described in the above embodiments, the system or the large-scale language model relating to the system may, for example, database various information generated by the system and use it when acquiring training data. Specifically, the system or the large-scale language model relating to the system may have a function to calculate the similarity between the information in the database (for example, video information previously output by the system) and the information acquired from the internet or the like, and to stop or warn about the acquisition of the target information into the information processing device used for training according to the calculated similarity. Furthermore, if the similarity between the target information and the information in the database exceeds a threshold, this system may always stop or warn about importing the target information into the information processing device. On the other hand, even if the similarity between the target information and the information in the database exceeds a threshold, this system may allow the import of the target information into the information processing device and, for example, allow it to be used for learning by paying a fee. This allows the system or the large-scale language model related to this system to provide various services while taking into consideration the copyrights of various types of information (content).

[0049] Furthermore, although the above embodiment has only been briefly described, this system may also hold information such as that shown in Figure 6 and use it to generate proposed information or estimated information. In the example in Figure 6, information regarding past film adaptations of novels or stories is stored, including "No," "Title," "Author," "Genre," "Character 1," ... "Character n (where n is any natural number)." This system can, for example, manage this information about past film adaptations of novels or stories in association with viewership ratings (including by target audience), number of viewers, audience attendance, etc., of the filmed content. Furthermore, this system may calculate the similarity between the target novel or story and past novels or stories based on, for example, the similarity of character attributes, the similarity of genres of works, the similarity of authors, etc., and predict the number of viewers, sales, etc., for film adaptations of the target novel or story, either by medium or aggregated. However, the information shown in Figure 6 is merely an example of the information that this system may possess, and this system may possess other arbitrary information about past film works, or may not possess some of the information shown in Figure 6.

[0050] Furthermore, although not explained in the embodiments described above, this system may generate information regarding the suitability of the video content as part of the proposed or estimated information, such as whether the target novel or story is suitable for a television serial drama (morning drama, night drama, etc.), a special drama slot on television, etc. (so-called two-hour drama), terrestrial broadcasting or satellite broadcasting, distribution slots such as IP broadcasting, free channels or paid channels, or a movie.

[0051] Furthermore, although not explained in the embodiments described above, the database of talents related to this system may include information such as the talent's name, age, gender, past roles, and the results of image surveys. The term "talent" may broadly include entertainment professionals and cultural figures, both domestic and international, who have experience appearing in various types of content.

[0052] Furthermore, this system may, for example, suggest individuals from the talent database who have a high degree of compatibility with the main characters of a novel or story as candidates for the main characters of the novel or story. The system may also, for example, determine the degree of similarity for each character based on the number of similar items such as age, gender, and character characteristics (e.g., personality), and suggest individuals (talents) with a high degree of similarity as candidates for the performers.

[0053] Furthermore, although not explained in the above embodiment, the database of filming locations for this system may include information such as the place name of the filming location, the name of the organization, the scenes that can be filmed, and the usage fee (per hour or per day). For example, this system may suggest locations included in the database of filming locations that have a high degree of compatibility with the main filming scenes of a novel or story as candidates for the main filming scenes of the novel or story.

[0054] Furthermore, while the above-described embodiment explained that this system generates information related to the visual adaptation of a novel or story, it is not limited to this. The term "visual adaptation" here is not limited to simply visualizing a novel or story, but also includes, for example, audio drama adaptations, theatrical adaptations, theme parks, exhibitions, derivative works, etc.

[0055] Furthermore, although not explained in the above embodiment, the video information output by this system can also be used, for example, for introductory texts for bookstores (promotions to bookstores), or for promotions of the target novel or story.

[0056] Furthermore, in the embodiments described above, the definition of a character in this system was explained as a "person" appearing in the target novel or story, but this definition is not limited to that. The characters in this system may include, for example, animals other than people, fictional characters, and so on.

[0057] Furthermore, although not explained in the embodiments described above, this system may also use the concepts of "consumption rate (or consumption indicator)" and "consumption unit price" when estimating the revenue that can be generated from video production. Specifically, "consumption rate (or consumption indicator)" refers to indicators related to the consumption and influence of content, such as the number of views, viewership rating, number of viewers, audience attendance, number of rentals, number of citations, popularity, and response rate. "Consumption unit price" refers to the standard unit price when charging for content, such as the usage price or movie theater admission fee. This system can estimate the revenue that can be generated from video production by determining such "consumption rate (or consumption indicator)" and "consumption unit price" and summing the sum of the values ​​obtained by multiplying them.

[0058] Furthermore, although the above embodiments have been described on the premise that the system performs input or output in Japanese, it is not limited to this. The system may have translation functions for various languages, and may perform conversion or replacement in any language, such as from Japanese to English or from French to Japanese.

[0059] Furthermore, the series of processes described above can be executed by hardware or by software. In other words, the functional configurations shown in Figure 3 are merely examples and are not particularly limiting. In other words, it is sufficient for the information processing system to have a function that can execute the series of processes described above as a whole, and the type of functional block used to realize this function is not limited to the examples shown in Figure 3. Furthermore, the location of the functional block is not limited to the examples shown in Figure 3, and can be arbitrary. Furthermore, a single functional block may consist of hardware alone, software alone, or a combination of both.

[0060] Furthermore, although not explained in the embodiments described above, when this system processes data by linking the various databases and the generated AI described above, it may use each generated AI after training using any method. Specifically, for example, this system may use each generated AI after training using any training method such as RAG (Retrieval Augmented Generation), fine tuning, transfer learning, or fusion shot learning.

[0061] Furthermore, in this specification, the step of describing the program to be recorded on the recording medium may be performed not only chronologically according to its order, but also in parallel or individually. In addition, some of the steps described in the above embodiments may be omitted.

[0062] Furthermore, in this specification, the term "system" refers to an overall system composed of multiple devices, means, etc.

[0063] Furthermore, the system configuration shown in the above-described embodiment is illustrative and not limited to it. The number and types of hardware constituting this system are arbitrary, and other arbitrary hardware may be adopted as part of the system, or some of the hardware described above may be omitted.

[0064] Furthermore, this system may, for example, have some or all of the above-mentioned processes executed by other servers managed in the cloud or similar.

[0065] Furthermore, when a series of processes are executed by software, the programs that make up that software are installed on a computer or other device from a network or storage medium.

[0066] Furthermore, the computer may be a computer built into dedicated hardware. Also, the computer may be a computer capable of performing various functions by installing various programs. In other words, for example, any computer, any mobile terminal such as a smartphone may be freely used as the various hardware in the above-described embodiment. Furthermore, any combination of types and contents of various input and output units may be adopted.

[0067] Furthermore, such a recording medium containing a program may consist not only of a removable media (not shown) provided separately from the main unit of the device to provide the program to the user, but may also consist of a recording medium that is pre-installed in the main unit of the device and provided to the user.

[0068] Furthermore, the effects and advantages of this embodiment will also be exhibited when these other embodiments are adopted. It is also possible to combine this embodiment with other embodiments, and with other embodiments, as appropriate.

[0069] In summary, the information processing system to which this disclosure applies can take various forms having the following configurations. A first information acquisition means for acquiring first information relating to text or audio, A second information generation means that outputs second information relating to the creation of text or audio content, or promotion, based on the first information, An information processing system equipped with these features would suffice.

[0070] Furthermore, the first information acquisition means may acquire the first information relating to the text or audio relating to a novel or story.

[0071] Furthermore, the second information generation means may generate the second information which includes information relating to the content creation of the text or audio, or to at least one of the synopsis, characters, and filming locations related to the promotion.

[0072] Furthermore, the second information generation means may generate the second information which further includes information relating to the content creation of the text or audio, or to a headline or title, recommendation or endorsement related to the promotion.

[0073] Furthermore, the information processing system may further include a first suggestion means for suggesting a candidate person to play the role of each of the characters.

[0074] Furthermore, the first proposed means may also propose individuals who are highly compatible with the character from among the individuals included in the database of potential cast members as candidates for the character.

[0075] Furthermore, the information processing system may further include a second suggestion means for suggesting individuals who are candidates for content creation of the text or audio, or for producing promotional materials.

[0076] Furthermore, the information processing system may further include a third suggestion means for suggesting candidate locations for each of the shooting locations.

[0077] Furthermore, the third proposed means may also propose locations that have a high degree of compatibility with the shooting location from among the locations included in the database of locations that are candidates for shooting, as candidate locations for the shooting location.

[0078] Furthermore, the information processing system may further include estimation means for estimating the consumption rate or consumption indicator of the content in the content creation or promotion of the text or audio.

[0079] Furthermore, the estimation means may estimate the potential sales generated by the content by multiplying the consumption rate or consumption indicator by the unit price and adding them together.

[0080] Furthermore, the second information generation means may generate the second information via a predetermined instruction input.

[0081] Furthermore, the second information generation means may generate the second information through a learning algorithm.

[0082] Furthermore, the information processing system may also include stop / warning means that calculate the similarity between the information used to learn the algorithm and the second information output in the past, and, according to the calculated similarity, execute, stop, or warn about the import of the target information into the information processing device used for learning.

[0083] Furthermore, if the similarity is above a predetermined threshold, the stop warning means may stop or warn against the input of the target information into the information processing device used for learning, instead of using the target information for learning the algorithm.

[0084] Furthermore, other aspects of this disclosure include: A method of information processing performed by a computer, A first information acquisition step for acquiring first information relating to text or audio, A second information generation step that outputs second information relating to the creation of text or audio content, or promotion, based on the first information, This may also be an information processing method that includes the following:

[0085] Furthermore, other aspects of this disclosure include: On the computer, A first information acquisition means for acquiring first information relating to text or audio, A second information generation means that outputs second information relating to the creation of text or audio content, or promotion, based on the first information, It may also be a program that performs processing that includes [this]. [Explanation of Symbols]

[0086] 1 server 11 Control Unit 60 Novel Information Acquisition Department 61. Visualization Information Generation Unit 70 Generation AI Utilization Department 62 Proposal information generation section 63 Estimated information generation unit 64. Video Information Transmission Unit 300 Video Content Database 2 User terminal 2 100 Control Unit 120 Input reception section 121 Video Information Acquisition Department 122 Output Control Unit

Claims

1. A first information acquisition means for acquiring first information relating to text or audio, A second information generation means that outputs second information relating to the creation of text or audio content, or promotion, based on the first information, An information processing system equipped with the following features.

2. The first information acquisition means acquires the first information relating to the text or audio relating to a novel or story. The information processing system according to claim 1.

3. The second information generation means generates the second information which includes information relating to the content creation of the text or audio, or to at least one of the synopsis, characters, and filming locations related to the promotion. The information processing system according to claim 2.

4. The second information generation means generates the second information which further includes information relating to the content creation of the text or audio, or to a headline or title, recommendation or endorsement related to the promotion. The information processing system according to claim 3.

5. The system further comprises a first suggestion means for proposing a candidate person to play each of the aforementioned characters. The information processing system according to claim 3.

6. The first proposed means proposes individuals who are highly compatible with the character from among the individuals included in the database of potential cast members as candidates for the character. The information processing system according to claim 5.

7. The system further comprises a second proposal means for suggesting individuals who could be candidates for content creation of the aforementioned text or audio, or for producing promotional materials. The information processing system according to claim 3.

8. The system further comprises a third suggestion means for suggesting candidate locations for each of the aforementioned shooting locations. The information processing system according to claim 3.

9. The third proposed means proposes locations with a high degree of compatibility with the shooting location from among the locations included in the database of potential shooting locations as candidate shooting locations. The information processing system according to claim 8.

10. In the creation of content from the text or audio, or in the promotion of such content, the system further includes estimation means for estimating the consumption rate or consumption indicators of the content. The information processing system according to claim 1.

11. The estimation means estimates the potential sales generated by the content by multiplying the consumption rate or consumption indicator by the unit price and adding them together. The information processing system according to claim 10.

12. The second information generation means generates the second information via a predetermined instruction input. The information processing system according to claim 2.

13. The second information generation means generates the second information through a learning algorithm. The information processing system according to claim 2.

14. The system further includes a stop / warning means that calculates the similarity between the information used to learn the algorithm and the second information previously output, and then, according to the calculated similarity, executes, stops, or warns the input of the target information into the information processing device used for learning. The information processing system according to claim 13.

15. The stop warning means, if the similarity is above a predetermined threshold, will not use the target information for learning the algorithm, and will stop or warn about the input of the target information into the information processing device used for learning. The information processing system according to claim 14.

16. A method of information processing performed by a computer, A first information acquisition step for acquiring first information relating to text or audio, A second information generation step that outputs second information relating to the creation of text or audio content, or promotion, based on the first information, An information processing method comprising the following:

17. On the computer, A first information acquisition means for acquiring first information relating to text or audio, A second information generation means that outputs second information relating to the creation of text or audio content, or promotion, based on the first information, A program that performs a process that includes this.

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