WO2021220933A1

WO2021220933A1 - Information processing device, information processing method, and information processing program

Info

Publication number: WO2021220933A1
Application number: PCT/JP2021/016294
Authority: WO
Inventors: 巨成高橋; 雄一影山; 哲洋坂本; 麗子桐原; 洋一上田; 準山根; 善敬戸室; 徹山室
Original assignee: ソニーグループ株式会社
Priority date: 2020-05-01
Filing date: 2021-04-22
Publication date: 2021-11-04
Also published as: JPWO2021220933A1

Abstract

An information processing device (100) according to the present application is provided with an assessing unit (132) which assesses the similarity between creation data created by a user, and existing creation data, on the basis of existing information that is publicly available. On the basis of the existing information, which is information relating to socially-accepted customs, conventions, ethical perspectives, religious perspectives, historical perspectives, laws, or government ordinances, in the distribution region of the creation data, the assessing unit (132) also assesses the similarity between said existing information and the creation data.

Description

Information processing equipment, information processing methods and information processing programs

The present invention relates to an information processing device, an information processing method, and an information processing program.

In recent years, CG (computer graphics) software that creates 3D images has become widespread. By using such CG software, even amateur creators and the like who do not have sufficient experience can easily create image data such as characters.

Also, in recent years, there is known a technology that gives an opportunity to send creative data created by creators to the world and sells the creative data to desired customers. For example, there is known a technique in which creative data created by a creator is edited, product data is generated, and the generated product data is presented to a customer.

JP-A-2002-169970

However, the above-mentioned conventional technology cannot always guarantee the quality of the creative data created by the user. For example, in the above-mentioned conventional technique, the creative data created by the creator is edited, the product data is generated, and the generated product data is only presented to the customer, and the creative data created by the user is displayed. Quality cannot always be guaranteed.

Therefore, this disclosure proposes an information processing device, an information processing method, and an information processing program that can guarantee the quality of the creative data created by the user.

In order to solve the above problems, the information processing device of one form according to the present disclosure is similar to the creative data created by the user and the existing creative data based on the existing publicly available information. It is provided with a determination unit for determining sex.

It is a figure for demonstrating the production process of the video content which concerns on embodiment of this disclosure. It is a figure which shows an example of the video production platform which concerns on this embodiment. It is a figure which shows the structural example of the information processing system which concerns on this embodiment. It is a block diagram which shows the structure of the information processing apparatus which concerns on this embodiment. It is a flowchart which shows an example of information processing which concerns on the same embodiment. It is a flowchart which shows an example of information processing which concerns on the same embodiment. It is a figure for demonstrating the example in which the kind of video contents is diversified. It is a figure for demonstrating the example of the asset which concerns on this embodiment. It is a figure for demonstrating personalization of video content by real-time rendering. It is a figure for demonstrating the mechanism which the derivative version of a video content is generated using the video production platform which concerns on this embodiment. It is a figure which shows the mechanism of the stakeholder and monetization about the video production platform which concerns on this embodiment. It is a figure which shows the management method of the creation data in the video production platform which concerns on this embodiment. It is a figure which shows the effect brought about by the video production platform which concerns on this embodiment. It is a hardware block diagram which shows an example of the computer which realizes the function of an information processing apparatus.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In each of the following embodiments, the same parts are designated by the same reference numerals, so that duplicate description will be omitted.

The present disclosure will be described according to the order of items shown below.
1. 1. Introduction 2. Embodiment 2-1. Video content production process 2-2. Configuration example of video production platform 2-3. Configuration example of information processing system 2-4. Configuration example of information processing device 2-5. An example of information processing 2-6. Others 3. Effect of this disclosure 4. Hardware configuration

[1. Introduction]
In the future, as various technologies advance and the efficiency of each process of video production progresses, it is expected that the personalization of video production will progress in the same way as music production. As such personalization progresses, it is expected that the number of video works personally produced by amateur creators and the like who do not have sufficient experience will increase. At that time, unlike music works, video works are based on stories, so it is conceivable that newly produced video works are based on some motif such as existing movie works. Therefore, the newly produced video work is required to have consistency and consistency with the existing concept (for example, information about the existing movie work and the existing character) that the viewer has. In addition, some of the existing concepts that viewers have are accompanied by national and regional characteristics. For example, the existing concepts that viewers have include those derived from social conventions and current affairs, and religiously and ethnically related events, and consistency and consistency with these are also required.

On the other hand, it is difficult to judge the consistency and consistency between the newly produced video work and the existing concept that the viewer has. For example, if a rule base based on a commonly used conditional branch is used, an enormous amount of conditional branching is required. Therefore, it is difficult to ensure the consistency and consistency with the existing concept that the viewer has by the rule base. In addition, even when a large number of people are mobilized and judged subjectively, there is a high possibility that the judgment of each individual will not be determined by a certain standard, ensuring consistency and consistency with the existing concept that the viewer has. Is considered difficult.

Therefore, one form of information processing device according to the present disclosure includes creative data created by a user (for example, video content personally created by a mature creator) and existing information based on existing publicly available information. Determine similarity to creative data. As a result, the information processing device can determine the consistency and consistency between the creative data created by the user and the existing concept possessed by the viewer. Therefore, the information processing device can guarantee the quality of the creative data created by the user.

[2. Embodiment]
[2-1. Video content production process]
Next, the process of producing the video content according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram for explaining a production process of video content according to an embodiment. As shown in FIG. 1, video production of movies, dramas, etc. has a large number of processes and is generally considered to be labor-intensive. Specifically, the video is passed through the idea, which is the process of creating the concept and the script, the visualization, which is the process of creating the video of each scene based on the script, and the animation / motion, which is the process of editing each scene. The content is complete. Subsequently, when the video content is completed, distribution to movie theaters in various places, disk media such as DVD, BD, UHDBD, broadcasting using terrestrial and satellite, and network distribution are performed, and the video content is distributed. You can get distribution revenue.

The upper part of FIG. 1 shows the production process of the live-action video and the production process of the composite video by the conventional method. In the future, it is expected that there will be a shift from the conventional video production shown in the upper part of FIG. 1 to digital video production using the three-dimensional CG model shown in the lower part of FIG. In addition, it is expected that the production process will become simpler and more efficient as we move to digital video production. The lower part of FIG. 1 shows the production process of the video content according to the embodiment. Each production process of the video content shown in the lower part of FIG. 1 is realized by the information processing apparatus 100 according to the embodiment. Specifically, the information processing apparatus 100 proposes a concept and a script (also referred to as a scenario) to the user by using the learned AI (artificial intelligence) in the ideation process. The user selects a desired scenario from the scenarios proposed by the information processing device 100.

Further, in the visualization process, the information processing device 100 is an asset (also referred to as a virtual asset) which is data such as 3D CG such as characters, sets, landscapes, and accessories, and data such as voice, sound effects, and BGM. To the user. For example, the information processing device 100 manages assets by using a blockchain mechanism. The user utilizes the assets to generate visuals for each scene. In addition, the information processing device 100 automatically generates the optimal facial expressions of characters according to, for example, a scenario by using the learned AI.

In addition, the information processing device 100 supports editing and production of animation, camera work, VFX, etc. in the animation / motion process. Specifically, the information processing device 100 configures a scene along the script in a virtual space, attaches an action to a three-dimensional CG such as a character, and performs virtual camera work in the real image. To become. Data related to these technologies such as virtual space, action, and camera work are also a type of asset. The user utilizes these assets to generate video content in which movement and sound are added to the visual sense of each scene. For example, the information processing device 100 generates an optimum scene from a scenario using the learned AI. As a result, the information processing device 100 enables, for example, a creator with little experience to easily produce video content.

Here, the assets related to the present embodiment will be specifically described with reference to FIG. FIG. 8 is a diagram for explaining an example of an asset according to the present embodiment. An asset is an English word that generally means an asset, property, resource, or the like. The asset according to the present embodiment refers to material data that is a component of video content. Specifically, as shown on the left side of FIG. 8, the assets according to the present embodiment include objects such as a set, an object, a cast, an object sound, and a layout by three-dimensional CG. Further, as shown in the center of FIG. 8, the asset according to the present embodiment includes data related to movements and effects such as movements of objects and people, video effects, sounds, and sound effects. Further, as shown on the right side of FIG. 8, the assets according to the present embodiment include data related to editing techniques such as camera work, lighting, time adjustment, scenarios, and scenario branching.

[2-2. Video production platform configuration example]
Next, the video production platform according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing an example of a video production platform according to the embodiment. The video production platform shown in FIG. 2 is provided by the information processing device 100 according to the embodiment. As shown on the left side of FIG. 2, the information processing apparatus 100 is a holder who holds the right of intellectual property data (IP DATA) such as assets protected by intellectual property rights (specifically, copyright). Holds the data acquired from (IP holder). In addition, the information processing device 100 holds intellectual property data (New IP DATA) newly created by a professional creator (Pro Creator). In addition, the information processing device 100 holds a video content (MOVIE DATA) produced by a movie production company (Movie Production). Since the video content is a copyrighted work, it is included in the intellectual property data. However, in FIG. 2, the video content and the intellectual property data (for example, an asset) other than the video content are described separately.

Here, copyright is the right given by law to the author who created the work. Therefore, in the following, assets and video contents may be referred to as "creative work data" in the sense that they are data created by the author. Specifically, in the following, the existing assets and existing video contents created by the owner (IP holder), professional creator (Pro Creator), and movie production company (Movie Production) are referred to as "primary creation". It may be described as "material data". On the other hand, new assets and new video contents created by amateur creators may be described as "derivative work data".

The information processing device 100 can diversify the types of video contents by customizing the video contents by selecting the assets according to the taste of the viewer from a large number of assets owned by the information processing device 100. Here, an example in which the types of video contents are diversified will be described with reference to FIG. 7. FIG. 7 is a diagram for explaining an example in which the types of video contents are diversified. FIG. 7 shows an example in which the information processing device 100 reconstructs video content using assets such as three-dimensional CG according to the viewer's preference, and distributes the reconstructed video content to the viewer.

For example, as shown on the upper left of FIG. 7, the information processing device 100 changes the playback time of the video content according to the preference of the viewer. Further, as shown in the center of the upper part of FIG. 7, the information processing device 100 changes the characters appearing in the video content according to the taste of the viewer, for example, the family of the viewer is set as the character. Further, as shown on the upper right of FIG. 7, the information processing device 100 changes the movement (action) of the character appearing in the video content according to the preference of the viewer. Further, as shown on the lower left of FIG. 7, the information processing device 100 changes the scenario of the video content according to, for example, the daily activities and events of the viewer. Further, as shown in the center of the lower part of FIG. 7, the information processing device 100 changes the playlist of the video content according to the purpose of the viewer viewing the video content. Further, as shown on the lower right of FIG. 7, the information processing apparatus 100 changes the level of violent expression and sexual depiction according to the taste of the viewer.

In addition, the information processing device 100 performs real-time rendering by combining assets according to the taste of the viewer. As a result, the information processing device 100 can perform optimum reproduction in consideration of various conditions of each individual viewer, and thus enables personalization of the video content according to the viewer's intention. Here, with reference to FIG. 9, personalization of video content by real-time rendering will be described. FIG. 9 is a diagram for explaining personalization of video content by real-time rendering.

In the example shown in Fig. 9, for example, an amateur creator utilizes assets to create content related to the world view of a video work in the ideation process. Then, in the content produced in the visualization process, the viewer changes the actor. Subsequently, among the contents produced in the animation / motion process, the voice of the actor changed by the viewer is automatically changed. Subsequently, the viewer selects a desired scenario from the branching of the scenario. In this way, the information processing device 100 enables the provision of video content customized for each viewer by real-time rendering.

Return to the explanation in Fig. 2. As shown in the upper right of FIG. 2, the information processing device 100 provides an amateur creator with existing assets acquired from an IP holder or the like and primary creation data which is existing video content. The amateur creator creates new assets and secondary creation data, which is new video content, based on the primary creation data acquired from the information processing device 100. For example, an amateur creator can create a derivative work, which is a new video content related to a specific character, based on images related to a specific character and primary creation data such as 3D CG such as a set or an accessory. Create data. Naturally, as shown above, screenplays, character movements, camera work, lighting, and sounds such as voices and inserted songs in other three-dimensional spaces can all be primary creation data.

By the way, the issue at this time is the security aspect such as various rights related to the primary creation data. As shown in FIG. 2, the information processing apparatus 100 sends the primary creation data to an amateur creator through Data Asset Management, which is a mechanism for protecting the intellectual property rights of the primary creation data. Provided against. Amateur creators independently process the primary creation data received through data asset management, and create secondary creation data with reference to these. In addition, the amateur creator transmits the secondary creation data created by the amateur creator to the information processing device 100. In addition, the information processing device 100 acquires secondary creation data which is a new asset and a new video content created by an amateur creator.

As shown in FIG. 2, the information processing device 100 transmits the secondary creation data created by the amateur creator through the mechanism of the AI filter (AI Filter) that guarantees the consistency and consistency with the preconceived concept of the viewer. get. For example, when an amateur creator creates an asset or video content, the newly created asset or video content (derivative work data) is a motif of an existing video work such as an existing movie work or drama work (1). It is considered to be based on the next creative work data). Alternatively, since it is assumed that the existing work has a certain existing concept, the consistency and consistency between the newly created asset or video content (secondary creation data) and the existing concept. Is required. Furthermore, with newly created assets and video contents (secondary creation data), such as those derived from social conventions and current affairs that are associated with each country and region, religiously and ethnically related events, etc. Consistency and consistency are also required. The AI filter plays a role in ensuring these consistency and consistency. FIG. 2 shows a video production platform equipped with an AI filter that determines whether or not to use secondary creation data created by an amateur creator based on a certain standard.

In addition, the information processing device 100 is a video content that is secondary creation data created by an amateur creator through a data right management mechanism equipped with various digital content protection technologies and block chains. Is delivered to the viewer.

[2-3. Information processing system configuration example]
Next, the configuration of the information processing system according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the information processing system according to the embodiment. As shown in FIG. 3, the information processing system 1 according to the present embodiment includes a holder terminal 10, a creator terminal 20, a viewer terminal 30, and an information processing device 100. The information processing system 1 may include an external information processing device such as a terminal device used by the system administrator. These various devices are connected so as to be communicable by wire or wirelessly via a network N (for example, the Internet). The information processing system 1 shown in FIG. 3 includes an arbitrary number of holder terminals 10, an arbitrary number of creator terminals 20, an arbitrary number of viewer terminals 30, and an arbitrary number of information processing devices 100. May be included.

The holder terminal 10 is an information processing device used by a holder who holds the intellectual property right of the primary creation data, which is the existing creation data that is open to the public. Here, the holder is a holder who holds intellectual property rights such as assets (IP holder), a professional creator who created the asset or video content (Pro Creator), or a movie production company which produces video content ( Movie Production). In addition, the primary creation data refers to assets or video contents for which the owner holds intellectual property rights that are open to the public. Further, the owner terminal 10 transmits the primary creation data to the information processing device 100 according to the operation of the owner.

The creator terminal 20 is an information processing device used by an amateur creator (hereinafter, also referred to as a creator) who creates secondary creation data which is new creation data. Here, the derivative work data is data that is not open to the public until it is released on the video production platform by, for example, the creator. The creator terminal 20 transmits a distribution request for primary creation data to the information processing device 100 according to the operation of the creator. In addition, the creator terminal 20 receives the primary creation data from the information processing device 100.

Further, the creator terminal 20 transmits the secondary creation data created by the creator to the information processing device 100 according to the operation of the creator. For example, the creator terminal 20 transmits the secondary creation data created by the creator based on the primary creation data to the information processing device 100 according to the operation of the creator.

The viewer terminal 30 is an information processing device used by a viewer who views video content. The viewer terminal 30 transmits a distribution request for video content, which is secondary creation data created by the creator, to the information processing device 100 according to the operation of the viewer. Further, the viewer terminal 30 receives the video content which is the secondary creation data from the information processing device 100. Subsequently, when the viewer terminal 30 receives the video content which is the secondary creation data, the viewer terminal 30 displays the received video content on the screen of the viewer terminal 30.

The information processing device 100 acquires the primary creation data from the owner terminal 10. When the information processing device 100 acquires the primary creation data from the owner terminal 10, the information processing device 100 stores the acquired primary creation data in the storage unit.

Further, the information processing device 100 acquires the distribution request of the primary creation data from the creator terminal 20. When the information processing device 100 acquires the distribution request, the information processing device 100 transmits the primary creation data to the creator terminal 20 in response to the distribution request. Specifically, the information processing apparatus 100 transmits the primary creation data to the creator terminal 20 through the data asset management (Data Asset Management) described with reference to FIG.

Further, the information processing device 100 acquires the secondary creation data from the creator terminal 20. For example, the information processing device 100 acquires the secondary creation data created by the creator based on the primary creation data from the creator terminal 20. Subsequently, when the information processing apparatus 100 acquires the secondary creation data, it checks whether the acquired secondary creation data and the viewer's preconceived concept are consistent or consistent through the AI filter described in FIG. judge.

Specifically, the information processing apparatus 100 uses AI (corresponding to an AI filter) that has been learned based on existing publicly available information to create secondary creation data and primary creation created by the creator. Determine the similarity with the object data. For example, the information processing apparatus 100 inputs the secondary creation data created by the creator into the trained AI, and calculates the degree of similarity between the secondary creation data and the primary creation data. Subsequently, when the degree of similarity between the secondary creation data and the primary creation data exceeds a predetermined threshold value, the information processing apparatus 100 is similar between the secondary creation data and the primary creation data. Judged as having sex. Subsequently, when the information processing apparatus 100 determines that there is a similarity between the secondary creation data and the primary creation data, the consistency between the secondary creation data and the viewer's preconceived notion. And judge that it is consistent. Subsequently, when the information processing apparatus 100 determines that there is consistency or consistency between the secondary creation data and the preconceived concept of the viewer, the information processing device 100 acquires the secondary creation data as new creation data. ..

On the other hand, when the degree of similarity between the secondary creation data and the primary creation data is equal to or less than a predetermined threshold value, the information processing apparatus 100 is similar between the secondary creation data and the primary creation data. Judge that there is no sex. When the information processing device 100 determines that there is no similarity between the secondary creation data and the primary creation data, the consistency and consistency between the secondary creation data and the viewer's preconceived notions. Judge that there is no. Subsequently, when the information processing device 100 determines that there is no consistency or consistency between the derivative work data and the viewer's preconceived notions, the reason for determining that there is no similarity is given to the creator. Present. Subsequently, when the information processing apparatus 100 presents the reason for determining that there is no similarity, the information processing apparatus 100 presents to the creator an example of data that is determined to have similarity to the primary creation data.

Further, the information processing device 100 acquires a distribution request for video content, which is secondary creation data, from the viewer terminal 30. When the information processing device 100 acquires the distribution request of the video content, the information processing device 100 distributes the video content, which is the secondary creation data, to the viewer terminal 30 in response to the distribution request. Specifically, the information processing device 100 distributes video content, which is secondary creation data, to the viewer terminal 30 through the data right management described in FIG.

[2-4. Information processing device configuration example]
Next, the configuration of the information processing apparatus according to the embodiment will be described with reference to FIG. FIG. 4 is a block diagram showing a configuration of an information processing device according to an embodiment. As shown in FIG. 4, the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The information processing device 100 may have an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the information processing device 100.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 110 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the owner terminal 10, the creator terminal 20, and the viewer terminal 30 via the network N.

(Memory unit 120)
The storage unit 120 is reproduced by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 4, the storage unit 120 has a creation data storage unit 121.

(Creative data storage unit 121)
The creation data storage unit 121 stores information related to creation data. Specifically, the creative work data storage unit 121 stores information on assets or video contents that are primary creative work data.

In addition, the creative work data storage unit 121 stores information on assets or video contents that are secondary creative data. More specifically, the creative work data storage unit 121 stores the secondary creation data, the similarity calculated by the AI filter, and information that can identify the holder who holds the copyright of the secondary creation data. Store in association with each other. For example, the creation data storage unit 121 can identify the degree of similarity between the secondary creation data and the primary creation data calculated by the AI filter, and the information that can identify the amateur creator who created the secondary creation data. Are associated and stored. In addition, the creation data storage unit 121 further resembles the secondary creation data created based on the primary creation data with the primary creation data calculated by the AI filter, and the primary creation data. The owner who holds the copyright of the creative work data is stored in association with identifiable information.

(Control unit 130)
The control unit 130 is a controller, and for example, various programs (information processing programs) stored in a storage device inside the information processing device 100 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. (Corresponding to one example) is reproduced by executing the RAM as a work area. Further, the control unit 130 is a controller, and is reproduced by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 4, the control unit 130 has an acquisition unit 131, a determination unit 132, a distribution unit 133, and a determination unit 134, and reproduces or executes the information processing operation described below. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 4, and may be another configuration as long as it is a configuration for performing information processing described later.

(Acquisition unit 131)
The acquisition unit 131 acquires the primary creation data from the holder terminal 10. When the acquisition unit 131 acquires the primary creation data from the holder terminal 10, the acquisition unit 131 stores the acquired primary creation data in the creation data storage unit 121. Specifically, the acquisition unit 131 stores the primary creation data and the information that can identify the holder who holds the copyright of the primary creation data in the creation data storage unit 121 in association with each other. More specifically, the acquisition unit 131 stores the primary creation data and the information that can identify the owner who is the transmission source of the primary creation data in the creation data storage unit 121 in association with each other.

For example, the acquisition unit 131 stores the asset and the holder (IP holder) who holds the copyright of the asset in the creative data storage unit 121 in association with the identifiable information. Further, for example, the acquisition unit 131 stores the asset or video content and the information that can identify the professional creator (Pro Creator) who holds the copyright of the asset or video content in the creative data storage unit 121 in association with each other. .. Further, for example, the acquisition unit 131 stores the video content and the information that can identify the movie production company (Movie Production) that holds the copyright of the video content in the creative data storage unit 121 in association with each other.

Further, the acquisition unit 131 acquires the distribution request of the primary creation data from the creator terminal 20. When the acquisition unit 131 acquires the distribution request, the acquisition unit 131 transmits the primary creation data to the creator terminal 20 in response to the distribution request. Specifically, the acquisition unit 131 extracts the primary creation data in response to the distribution request with reference to the creation data storage unit 121. Subsequently, the acquisition unit 131 transmits the extracted primary creation data to the creator terminal 20 through the mechanism of data asset management (Data Asset Management).

(Judgment unit 132)
The determination unit 132 acquires the secondary creation data from the creator terminal 20. For example, the determination unit 132 acquires the secondary creation data created by the creator based on the primary creation data from the creator terminal 20. Subsequently, when the determination unit 132 acquires the secondary creation data, it determines whether or not the acquired secondary creation data is consistent or consistent with the preconceived concept of the viewer through the AI filter.

Specifically, the judgment unit 132 is existing information regarding social customs, customs, ethics, religions, history, laws, or government ordinances in the distribution area of derivative data (derivative data). Based on the information in, determine the similarity between the existing information and the creative data. More specifically, the judgment unit 132 determines the trends of movies and dramas whose screening is prohibited, scenarios such as music videos, script (line) audio, video content, recent accidents, incidents, and trends. Learn the AI of the AI filter by focusing on the country or region of the distribution area, using the text data of newspaper sentences of current affairs articles, news video content, radio audio data, etc. as existing information. For example, the determination unit 132 causes the machine learning model to learn the characteristics of the existing information described above.

Further, the determination unit 132 resembles the existing creation data which is an existing video work and the creation data created based on the existing video work based on the existing information which is the information about the existing video work. Judge the sex. For example, the determination unit 132 may use information about an existing video work as an existing video work, a series of video works including the existing video work, a video work derived from the existing video work, or an original work of the existing video work. Based on the existing information that is the information about the work that has become, the similarity between the existing creation data that is an existing video work and the creation data created based on the existing video work is determined. More specifically, the judgment unit 132 uses the scenarios of series and derivative works, video contents, script (line) audio, BGM sound data, original and base novels, and books such as manga. Texts and illustrations of Learn AI. For example, the determination unit 132 causes the machine learning model to learn the characteristics of the existing information described above.

Further, the determination unit 132 determines the similarity between the existing creation data which is an existing character and the creation data created based on the existing character based on the existing information which is the information about the existing character. do. For example, the determination unit 132 is an existing character based on the existing information such as the profile of the existing character or the relationship between the existing character and another existing character as the information about the existing character. Judge the similarity between the creation data of the above and the creation data created based on the existing character. More specifically, the judgment unit 132 is the character data of the profile contents of the actors and characters acquired by crawling the net and the text data of the magazine article. Scenarios such as movies, dramas, and stage works that have appeared in the past and appeared as voice actors, video content (from DVD and online distribution videos), script (line) voice, BGM sound, interview article text, inserted photos, videos Interview video content, spoken content and audio data, text data showing the character profile set from the above, or human relationships between characters and past events related to it (friendship is broken) , Divorce, etc.) is represented by Tree etc., and the characters are profiled by AI using big data, which is performed by real human beings, and the characters and characters are profiled by AI. By doing so, the AI of the AI filter is learned by using the data of the line spacing information about the characters not drawn in the work, the original, and the related article as the existing information. For example, the determination unit 132 causes the machine learning model to learn the characteristics of the existing information described above.

Subsequently, the determination unit 132 determines the similarity between the secondary creation data created by the amateur creator and the existing creation data by using the AI of the AI filter that has been learned based on the existing information. For example, the determination unit 132 inputs the secondary creation data created by the creator into the learned AI, and calculates the degree of similarity between the secondary creation data and the existing creation data. Subsequently, the determination unit 132 determines the similarity between the secondary creation data and the existing creation data when the similarity between the secondary creation data and the existing creation data exceeds a predetermined threshold value. It is determined that there is. Subsequently, when the determination unit 132 determines that there is a similarity between the secondary creation data and the existing creation data, the consistency between the secondary creation data and the viewer's preconceived notion Judge as consistent. Subsequently, when the determination unit 132 determines that there is consistency or consistency between the secondary creation data and the preconceived concept of the viewer, the secondary creation data is used as new creation data to create creation data. It is stored in the storage unit 121.

On the other hand, when the degree of similarity between the secondary creation data and the existing creation data is equal to or less than a predetermined threshold value, the determination unit 132 determines the similarity between the secondary creation data and the existing creation data. Judge that there is no. When the determination unit 132 determines that there is no similarity between the secondary creation data and the existing creation data, there is consistency and consistency between the secondary creation data and the viewer's preconceived notions. It is determined that there is no such thing. Subsequently, when the determination unit 132 determines that there is no consistency or consistency between the derivative work data and the viewer's preconceived notions, the determination unit 132 presents to the creator the reason for determining that there is no similarity. do. Subsequently, when the determination unit 132 presents the reason for determining that there is no similarity, the determination unit 132 presents to the creator an example of data that is determined to have similarity to the existing creation data.

Further, the determination unit 132 determines the similarity between each of the creation data created in each process of video production and the existing creation data. Specifically, the determination unit 132 resembles the creation data created in a predetermined process of video production with the existing creation data which is the creation data created in a process prior to the predetermined process. To judge. For example, the determination unit 132 determines the similarity between the video content created in a predetermined process of video production by an amateur creator and the existing creation data which is the video content created in a process prior to the predetermined process. do. For example, the determination unit 132 inputs the video content created in the predetermined process into the learned AI, and the video content created in the predetermined process and the video content created in the process prior to the predetermined process. Calculate the similarity with. Subsequently, when the degree of similarity between the video content created in the predetermined step and the video content created in the step prior to the predetermined step exceeds a predetermined threshold value, the determination unit 132 determines between the two contents. Is determined to have similarities. Subsequently, when the determination unit 132 determines that there is similarity between the two contents, it determines that there is consistency or consistency between the two contents. Subsequently, when the determination unit 132 determines that there is consistency or consistency between the two contents, the determination unit 132 indicates to the creator that it is OK to proceed to the next step following the predetermined step.

On the other hand, when the degree of similarity between the video content created in the predetermined process and the video content created in the process prior to the predetermined process is equal to or less than the predetermined threshold value, the determination unit 132 between the two contents. Judge that there is no similarity. When the determination unit 132 determines that there is no similarity between the two contents, the determination unit 132 determines that there is no consistency or consistency between the two contents. Subsequently, the determination unit 132 presents to the creator the reason for determining that there is no consistency or consistency between the two contents when it is determined that there is no consistency or consistency between the two contents. Subsequently, when the determination unit 132 presents the reason for determining that there is no similarity, the creator is given an example of data that is determined to be similar to the video content created in the process prior to the predetermined process. I will present it to you.

In this way, the determination unit 132 determines the similarity between the creation data created by the user and the existing creation data based on the existing publicly available information. For example, the determination unit 132 determines the similarity between the creative work data, which is the video content or asset created by the user, and the existing creative work data.

(Distribution Department 133)
The distribution unit 133 distributes the creative work data, which is the video content, based on the similarity determined by the determination unit 132. Specifically, the distribution unit 133 distributes the creation data determined to be similar by the determination unit 132. For example, the distribution unit 133 acquires a distribution request for video content, which is secondary creation data, from the viewer terminal 30. Subsequently, when the distribution unit 133 acquires the distribution request of the video content, the distribution unit 133 refers to the creation data storage unit 121 and extracts the similarity stored in association with the secondary creation data corresponding to the distribution request. When the similarity is extracted, the distribution unit 133 determines whether or not the extracted similarity exceeds a predetermined threshold value. Subsequently, when the distribution unit 133 determines that the extracted similarity exceeds a predetermined threshold value, the distribution unit 133 distributes the video content, which is the secondary creation data, to the viewer terminal 30 in response to the distribution request. Specifically, the distribution unit 133 subsequently delivers the video content, which is the secondary creation data, to the viewer terminal 30 through the data right management described with reference to FIG. To deliver.

On the other hand, when the distribution unit 133 determines that the extracted similarity is equal to or less than a predetermined threshold value, the distribution unit 133 transmits a notification to the viewer terminal 30 that the video content subject to the distribution request will not be distributed.

(Decision unit 134)
The determination unit 134 determines the distribution ratio of the distribution revenue of the creative work data, which is the video content, based on the similarity determined by the determination unit 132. Specifically, the decision unit 134 distributes distribution revenue to the holder who holds the right to the existing creative data and the user who created the creative data which is the video content based on the existing creative data. Determine the distribution ratio of. For example, it is considered that the lower the degree of similarity between the creation data determined by the determination unit 132 and the existing creation data, the higher the contribution of the user to the creation of the creation data. Therefore, the decision unit 134 determines that the lower the similarity between the creative data created by the user and the existing creative data, the more the distribution revenue distributed to the user is distributed to the holder. Determined higher than the distribution ratio of. On the other hand, the higher the degree of similarity between the creation data determined by the determination unit 132 and the existing creation data, the higher the degree to which the creation data relies on the existing creation data. It is considered that the contribution of users to the above is low. Therefore, the decision unit 134 determines that the higher the similarity between the creative data created by the user and the existing creative data, the more the distribution is distributed to the holders rather than the distribution ratio of the distribution revenue distributed to the users. Determine a high distribution ratio of revenue.

In addition, the source of monetization is considered to be based on the subscription fee to the viewer, but Fig. 11 shows an example of the distribution method of the distribution revenue obtained by the distribution of the secondary creation data. FIG. 11 is a diagram for explaining a mechanism of stakeholder and monetization regarding the video production platform according to the embodiment. In FIG. 11, a comparison with monetization in general video works so far is also shown. In FIG. 11, the amount paid by the viewer varies depending on the degree of reputation of the video content by the viewers (Consumers) who have viewed the video content which is the secondary creation data. The amount paid by the viewer is the distribution revenue of the secondary creation data. The distribution revenue will be distributed to each creator and the IP holder who owns the source of the IP content.

At this time, the video production platform shown in Fig. 2 determines the distribution ratio of distribution revenue. Specifically, the determination unit 134 determines the distribution ratio of the distribution revenue based on the judgment degree of the AI filter (there was a lot of NG due to the judgment, the score indicating the degree of similarity with the existing creation data was high, etc.). To determine.

[2-5. An example of information processing]
Next, the flow of information processing according to the embodiment will be described with reference to FIG. FIG. 5 is a flowchart showing an example of information processing according to the embodiment. As shown in FIG. 5, the information processing apparatus 100 presents the primary creation data (step S101). For example, the information processing device 100 displays the primary creation data on the creator terminal 20 of the amateur creator. In addition, the amateur creator creates the secondary creation data based on the primary creation data.

Subsequently, the information processing device 100 acquires the secondary creation data (step S102). For example, the information processing device 100 acquires the secondary creation data created by the amateur creator from the creator terminal 20.

Subsequently, when the information processing apparatus 100 acquires the secondary creation data, the information processing apparatus 100 obtains the similarity between the acquired secondary creation data and the primary creation data which is the existing creation data based on the existing information. Determine (step S103).

When the information processing apparatus 100 determines that the secondary creation data and the primary creation data are similar (step S103; Yes), the secondary creation data is registered as new creation data (step). S104).

On the other hand, when the information processing apparatus 100 determines that there is no similarity between the secondary creation data and the primary creation data (step S103; No), the information processing apparatus 100 presents the reason for determining that there is no similarity (step S105). ). For example, the information processing device 100 displays the reason why it is determined that the creator terminal 20 of the amateur creator has no similarity.

Subsequently, when the information processing apparatus 100 presents the reason for determining that there is no similarity, the information processing apparatus 100 presents an example of data that is determined to have similarity to the primary creation data (step S106). For example, the information processing device 100 displays an example of data determined to be similar to the primary creation data on the creator terminal 20 of the amateur creator.

Next, the flow of information processing according to the embodiment will be described with reference to FIG. FIG. 6 is a flowchart showing an example of information processing according to the embodiment. As shown in FIG. 6, the information processing apparatus 100 receives a content distribution request (step S201). For example, the information processing device 100 receives a distribution request for the content of a video work, which is secondary creation data created by an amateur creator, from the viewer terminal 30 of the viewer.

Subsequently, the information processing device 100 delivers the content (step S202). For example, the information processing device 100 distributes the content of a video work, which is secondary creation data created by an amateur creator, to the viewer terminal 30 of the viewer.

Subsequently, the information processing apparatus 100 determines the distribution ratio of the distribution revenue according to the degree of similarity (step S203). For example, the information processing device 100 is a holder who holds the right of the primary creation data based on the similarity between the primary creation data and the secondary creation data created based on the primary creation data. And determine the ratio of distribution revenue to be distributed to the amateur creators who created the secondary creation data based on the primary creation data.

[2-6. others]
As shown in FIGS. 10 and 13, the video work created on the video production platform shown in FIG. 2 may be managed for each upgraded version or derivative version at the time of software release. FIG. 10 is a diagram showing a mechanism for generating a derivative version of video content using the video production platform according to the embodiment. Further, FIG. 13 is a diagram showing the effects brought about by the video production platform according to the embodiment. Specifically, when producing a test release of the beta version before release on the video production platform shown in Fig. 2, and then producing the official version, version upgrade version, and derivative version, CVS (Concurrent) is shown as shown in Fig. 12. If it can be performed in the same way as the operation performed on the version control system of the source code such as Versions System), VSS (Visual SourceSafe), and GitHub, it is considered that the efficiency at the time of production can be improved. FIG. 12 is a diagram showing a method of managing creation data in the video production platform according to the embodiment. As a result, it is possible to realize a mechanism that can easily realize the division of labor beyond the location when considering the personalization of video production.

[3. Effect of this disclosure]
As described above, the information processing apparatus 100 according to the embodiment of the present disclosure includes a determination unit 132. The determination unit 132 determines the similarity between the creation data created by the user and the existing creation data based on the existing publicly available information.

As a result, the information processing device can determine the consistency and consistency between the creative data created by the user and the existing creative data. In addition, the information processing device can determine the consistency and consistency between the creative data created by the user and the existing creative data, so that it is consistent with the existing concept that the viewer has. Gender and consistency can be guaranteed. Therefore, the information processing device can guarantee the quality of the creative data created by the user.

In addition, the determination unit 132 determines the existing information based on the existing information which is information on the customs, customs, ethics, religions, history, laws, or government ordinances in the area where the creation data is distributed. And the similarity with the creation data.

As a result, the information processing device 100 can determine the consistency and consistency between the creative data created by the user and the customs of social conventions in the distribution area of the creative data. In addition, the information processing device can determine the consistency and consistency between the creative data created by the user and the customs of social conventions in the distribution area of the creative data. It is possible to determine whether or not there is consistency or consistency with preconceived ideas.

Further, the determination unit 132 resembles the existing creation data which is an existing video work and the creation data created based on the existing video work based on the existing information which is the information about the existing video work. Judge the sex. For example, the determination unit 132 may use information about an existing video work as an existing video work, a series of video works including the existing video work, a video work derived from the existing video work, or an original work of the existing video work. Based on the existing information that is the information about the work that has become, the similarity between the existing creation data that is an existing video work and the creation data created based on the existing video work is determined.

As a result, the information processing device 100 can determine the consistency and consistency between the creative data created by the user and the existing video work.

Further, the determination unit 132 determines the similarity between the existing creation data which is an existing character and the creation data created based on the existing character based on the existing information which is the information about the existing character. do. For example, the determination unit 132 is an existing character based on the existing information such as the profile of the existing character or the relationship between the existing character and another existing character as the information about the existing character. Judge the similarity between the creation data of the above and the creation data created based on the existing character.

As a result, the information processing device 100 can determine whether or not the creation data created by the user is consistent or consistent with the existing person or the existing character.

Further, the determination unit 132 determines the similarity between each of the creation data created in each process of video production and the existing creation data.

As a result, the information processing apparatus 100 can determine whether or not there is consistency or consistency with each of the creative data created in each process of video production.

Further, the determination unit 132 determines the similarity between the creation data created in the predetermined process of video production and the existing creation data which is the creation data created in the process prior to the predetermined process. ..

As a result, the information processing apparatus 100 determines whether or not the creation data created in the predetermined process of video production and the creation data created in the process prior to the predetermined process are consistent or consistent. be able to.

Further, the determination unit 132 determines the similarity between the creative work data, which is the video content or asset created by the user, and the existing creative work data.

As a result, the information processing device 100 can determine whether or not the video content or asset created by the user is consistent or consistent with the existing creative data.

Further, the information processing device 100 further includes a distribution unit 133. The distribution unit 133 distributes the creative work data, which is the video content, based on the similarity determined by the determination unit 132.

As a result, the information processing device 100 can guarantee the quality of the delivered video content.

Further, the information processing device 100 further includes a determination unit 134. The determination unit 134 determines the distribution ratio of the distribution revenue of the creative work data, which is the video content, based on the similarity determined by the determination unit 132. For example, the determination unit 134 distributes the distribution revenue to the holder who holds the right to the existing creative data and the user who created the creative data which is the video content based on the existing creative data. To determine.

As a result, the information processing apparatus 100 creates the creative work data for the holder who holds the right regarding the existing creative work data and the user who creates the creative work data which is the video content based on the existing creative work data. Distribution revenue can be distributed according to the degree of contribution to.

[4. Hardware configuration]
The information device such as the information processing device 100 according to the above-described embodiment is reproduced by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 14 is a hardware configuration diagram showing an example of a computer 1000 that reproduces the functions of an information processing device such as the information processing device 100. Hereinafter, the information processing apparatus 100 according to the embodiment will be described as an example. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM (Read Only Memory) 1300, an HDD (Hard Disk Drive) 1400, a communication interface 1500, and an input / output interface 1600. Each part of the computer 1000 is connected by a bus 1050.

The CPU 1100 operates based on the program stored in the ROM 1300 or the HDD 1400, and controls each part. For example, the CPU 1100 expands the program stored in the ROM 1300 or the HDD 1400 into the RAM 1200 and executes processing corresponding to various programs.

The ROM 1300 stores a boot program such as a BIOS (Basic Input Output System) executed by the CPU 1100 when the computer 1000 is started, a program that depends on the hardware of the computer 1000, and the like.

The HDD 1400 is a computer-readable recording medium that non-temporarily records a program executed by the CPU 1100 and data used by the program. Specifically, the HDD 1400 is a recording medium for recording an information processing program according to the present disclosure, which is an example of program data 1450.

The communication interface 1500 is an interface for the computer 1000 to connect to an external network 1550 (for example, the Internet). For example, the CPU 1100 receives data from another device or transmits data generated by the CPU 1100 to another device via the communication interface 1500.

The input / output interface 1600 is an interface for connecting the input / output device 1650 and the computer 1000. For example, the CPU 1100 receives data from an input device such as a keyboard or mouse via the input / output interface 1600. Further, the CPU 1100 transmits data to an output device such as a display, a speaker, or a printer via the input / output interface 1600. Further, the input / output interface 1600 may function as a media interface for reading a program or the like recorded on a predetermined recording medium (media). The media is, for example, an optical recording medium such as DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Is.

For example, when the computer 1000 functions as the information processing device 100 according to the embodiment, the CPU 1100 of the computer 1000 reproduces the functions of the control unit 130 and the like by executing the information processing program loaded on the RAM 1200. Further, the information processing program according to the present disclosure and the data in the storage unit 120 are stored in the HDD 1400. The CPU 1100 reads the program data 1450 from the HDD 1400 and executes the program, but as another example, these programs may be acquired from another device via the external network 1550.

The present technology can also have the following configurations.
(1)
Judgment unit that determines the similarity between the creative data created by the user and the existing creative data based on the existing publicly available information.
Information processing device equipped with.
(2)
The determination unit
The existing information and the creative data based on the existing information which is information on social customs, customs, ethics, religious views, historical views, laws, or government ordinances in the distribution area of the creative data. Further determine the similarity with,
The information processing device according to (1) above.
(3)
The determination unit
Based on the existing information, which is information about an existing video work, the similarity between the existing creation data, which is the existing video work, and the creation data created based on the existing video work, is determined. judge,
The information processing device according to (1) or (2) above.
(4)
The determination unit
As the information about the existing video work, the existing video work and the video work of the series including the existing video work, the video work derived from the existing video work, or the original of the existing video work. Based on the existing information which is information about the work, the similarity between the existing creation data which is the existing video work and the creation data created based on the existing video work is determined.
The information processing device according to (3) above.
(5)
The determination unit
Based on the existing information which is information about an existing character, the similarity between the existing creation data which is the existing character and the creation data created based on the existing character is determined.
The information processing device according to any one of (1) to (4) above.
(6)
The determination unit
As the information about the existing character, the existing character, which is the existing character, is based on the existing information which is the profile of the existing character or the relationship between the existing character and another existing character. Judging the similarity between the creation data and the creation data created based on the existing character,
The information processing device according to (5) above.
(7)
The determination unit
Judging the similarity between each of the creative data created in each process of video production and the existing creative data.
The information processing device according to any one of (1) to (6) above.
(8)
The determination unit
Judging the similarity between the creation data created in the predetermined process of video production and the existing creation data which is the creation data created in the process prior to the predetermined process.
The information processing device according to (7) above.
(9)
The determination unit
To determine the similarity between the creative work data, which is a video content or asset created by the user, and the existing creative work data.
The information processing device according to any one of (1) to (8).
(10)
A distribution unit that distributes the creative data, which is video content, based on the similarity determined by the determination unit.
The information processing apparatus according to any one of (1) to (9) above.
(11)
A determination unit that determines the distribution ratio of distribution revenue of the creative data, which is video content, based on the similarity determined by the determination unit.
The information processing apparatus according to any one of (1) to (10) above.
(12)
The decision unit
Determine the distribution ratio of the distribution revenue to be distributed to the holder who holds the right to the existing creation data and the user who created the creation data which is the video content based on the existing creation data. do,
The information processing device according to (11) above.
(13)
The computer
Judging the similarity between the creative data created by the user and the existing creative data based on the existing publicly available information.
Information processing method.
(14)
Judgment processing to determine the similarity between the creative data created by the user and the existing creative data based on the existing publicly available information.
An information processing program that allows a computer to execute.

1 Information processing system 10 Owner terminal 20 Creator terminal 30 Viewer terminal 100 Information processing device 110 Communication unit 120 Storage unit 121 Creative data storage unit 130 Control unit 131 Acquisition unit 132 Judgment unit 133 Distribution unit 134 Decision unit

Claims

Judgment unit that determines the similarity between the creative data created by the user and the existing creative data based on the existing publicly available information.
Information processing device equipped with.
The determination unit
The existing information and the creative data based on the existing information which is information on social customs, customs, ethics, religious views, historical views, laws, or government ordinances in the distribution area of the creative data. Further determine the similarity with,
The information processing device according to claim 1.
The determination unit
Based on the existing information, which is information about an existing video work, the similarity between the existing creation data, which is the existing video work, and the creation data created based on the existing video work, is determined. judge,
The information processing device according to claim 1.
The determination unit
As the information about the existing video work, the existing video work and the video work of the series including the existing video work, the video work derived from the existing video work, or the original of the existing video work. Based on the existing information which is information about the work, the similarity between the existing creation data which is the existing video work and the creation data created based on the existing video work is determined.
The information processing device according to claim 3.
The determination unit
Based on the existing information which is information about an existing character, the similarity between the existing creation data which is the existing character and the creation data created based on the existing character is determined.
The information processing device according to claim 1.
The determination unit
As the information about the existing character, the existing character, which is the existing character, is based on the existing information which is the profile of the existing character or the relationship between the existing character and another existing character. Judging the similarity between the creation data and the creation data created based on the existing character,
The information processing device according to claim 5.
The determination unit
Judging the similarity between each of the creative data created in each process of video production and the existing creative data.
The information processing device according to claim 1.
The determination unit
Judging the similarity between the creation data created in the predetermined process of video production and the existing creation data which is the creation data created in the process prior to the predetermined process.
The information processing device according to claim 7.
The determination unit
To determine the similarity between the creative work data, which is a video content or asset created by the user, and the existing creative work data.
The information processing device according to claim 1.
A distribution unit that distributes the creative data, which is video content, based on the similarity determined by the determination unit.
The information processing apparatus according to claim 1.
A determination unit that determines the distribution ratio of distribution revenue of the creative data, which is video content, based on the similarity determined by the determination unit.
The information processing apparatus according to claim 1.
The decision unit
Determine the distribution ratio of the distribution revenue to be distributed to the holder who holds the right to the existing creation data and the user who created the creation data which is the video content based on the existing creation data. do,
The information processing device according to claim 11.
The computer
Judging the similarity between the creative data created by the user and the existing creative data based on the existing publicly available information.
Information processing method.
Judgment processing to determine the similarity between the creative data created by the user and the existing creative data based on the existing publicly available information.
An information processing program that allows a computer to execute.