Film and television copyright one-key distribution and promotion full-automatic transaction system and method based on AI evaluation and smart contract

Abstract

The invention discloses a film and television copyright one-key distribution and popularization full-automatic transaction system and method based on AI evaluation and a smart contract. The method comprises the following steps: receiving copyright content; calling an AI model to carry out value evaluation and originality verification, and generating an evaluation report; generating an electronic protocol based on the validated evaluation report; converting the protocol into a smart contract and deploying the smart contract to a block chain; responding to the one-key distribution instruction, and distributing the content and the contract interface to a playing platform; obtaining under-chain income data through an oracle machine; and the smart contract automatically verifies and executes account division. According to the system, the AI and the block chain technology are deeply fused, automation, intelligence and transparency of the whole movie and television copyright transaction process are achieved, the transaction cost and the trust cost are greatly reduced, and a new generation of infrastructure is provided for the movie and television copyright transaction market.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of computer technology and digital rights management, and in particular to an integrated management system and method for intelligently evaluating, one-key distributing, promoting, automatically distributing accounts and panoramic monitoring of scripts, finished films and peripheral derivative products in the transaction process of film copyrights by comprehensively utilizing artificial intelligence (AI) and blockchain smart contract technology. BACKGROUND

[0002] The current film copyright transaction market, especially the emerging content form of short films and web series, has the following long-term unsolved pain points: 1. Low efficiency and high cost: copyright parties need to negotiate with each playing platform one by one, sign offline contracts, and manually deliver materials, resulting in a long process and high legal, human and time costs.

[0003] 2. Complex and opaque settlement: revenue distribution relies on manual reconciliation, which is time-consuming and error-prone, and copyright parties cannot verify the play data and revenue details in real time and accurately, resulting in high trust costs.

[0004] 3. Lack of standard for copyright value assessment: work pricing is highly dependent on subjective experience, lacking a data-driven objective evaluation system, resulting in increased transaction friction and low market efficiency.

[0005] 4. Long-tail content difficult to reach the market: a large number of small and medium-sized copyright parties and vertical broadcasting platforms cannot effectively interface due to high transaction costs, and market potential is not fully realized.

[0006] 5. Promotion and transaction are separated: market promotion and copyright transaction are two separate links, and cannot form a closed loop of "promotion serving transaction and transaction data feedback promotion".

[0007] 6. Therefore, there is an urgent need in the art for a technical solution that can automatically, standardize and transparently handle the entire process of copyright transaction. SUMMARY

[0008] The present application aims to overcome the shortcomings of the prior art and provide a film and television copyright full-automatic transaction system and method based on AI evaluation and smart contract. The core purpose is to convert non-standard copyright transaction processes into standard, programmable and automatically executed digital protocols through technical means, realizing full-process automation from "evaluation-pricing-signing-distribution-promotion-settlement", greatly reducing transaction costs and trust costs, and activating the film and television copyright transaction market.

[0009] To achieve the above purpose, the present application adopts the following technical solutions: S101: receiving the film and television copyright content and its metadata uploaded by the copyright party; S102: calling an AI evaluation model to evaluate the value of the film and television copyright content and check the originality, and generating an evaluation report containing recommended authorization terms; S103: generating a standardized electronic authorization agreement based on the recommended authorization terms in response to the confirmation instruction of the copyright party; S104: converting the standardized electronic authorization agreement into smart contract code that can be automatically executed and deploying it to a blockchain network; S105: distributing the film and television copyright content and the access interface of the smart contract to one or more target platforms in response to the one-key distribution instruction of the copyright party; S106: acquiring income data related to the smart contract from the target platform in real time or periodically through a pre-arranged oracle service deployed off-chain; S107: the smart contract automatically verifies the income data according to the preset sharing rules and triggers the payment system to perform fund clearing operations to automatically distribute the income to predefined accounts of each participant.

[0010] 1. AI intelligent evaluation module: for performing value evaluation and originality checking; 2. Smart contract management module: for generating and deploying a smart contract; 3. One-key distribution and promotion module: for distributing content and contract interfaces to target platforms and promotion channels; 4. Oracle service module: for obtaining reliable income and effect data from external platforms; 5. Automatic sharing execution module: for performing automatic fund clearing; 6. Unified copyright library module: for storing and managing multi-category copyright content; (Three) Compared with the prior art, the technical scheme provided by the application has the following advantages: Full-process automation: realizes full unmanned intervention from evaluation to sharing, shortens the traditional process from months to minutes, and revolutionarily improves efficiency.

[0011] 2. Decision-making intelligence: using AI technology to price non-standard products, providing data-driven objective basis, reducing negotiation friction, and discovering the true value of content.

[0012] 3. Maximize trust: through the "code is law" feature of the blockchain smart contract, ensure that the transaction rules are open and transparent, the execution process is tamper-proof, and build a decentralized trust.

[0013] 4. Ecological and integrated: uniquely integrating "sales distribution" and "market promotion" functions, not only helps content find platforms, but also helps content find audiences, forming a marketing closed loop.

[0014] 5. Activate the long tail market: It greatly reduces the cost of micro-licensing and micro-transactions, making transactions between small and medium-sized copyright holders and streaming platforms possible, thus revitalizing the existing market. Attached Figure Description Figure 1 This is a system overall architecture block diagram provided in an embodiment of the present invention;

[0015] Figure 2 This is a flowchart of a method business process provided by an embodiment of the present invention; Figure 3 This is a system interaction timing diagram provided in an embodiment of the present invention; Figure 4 This is a system functional mind map provided in one embodiment of the present invention. (iv) The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments, so that the advantages and features of the present invention can be more easily understood.

[0016] See Figures 1 to 4 The system described in this invention is deployed on a cloud server cluster and adopts a microservice architecture, mainly including the following modules: 1. AI Intelligent Evaluation Module: This module is the "brain" of the system. For uploaded script text, semantic-level plagiarism detection and content quality analysis are performed using NLP technologies based on models such as BERT. For finished videos, video fingerprinting technology based on deep neural networks is used for image comparison. The evaluation model is continuously trained and optimized through historical transaction data, and its output evaluation report includes originality score, value range, and recommendation authorization mode.

[0017] 2. Smart Contract Management Module: This module is the "heart" of the system. It has built-in various revenue sharing rule templates (fixed price, revenue sharing per click, guaranteed minimum plus revenue sharing, etc.). Upon receiving a protocol generation instruction, the module compiles the business terms (such as the payee's address and revenue sharing ratio) into Solidity code and deploys it to a blockchain network (such as the Ethereum testnet or a consortium blockchain compliant with Chinese cryptographic standards) via an RPC interface, returning the contract address.

[0018] 3. One-Click Distribution and Promotion Module: This module is the "limbs" of the system. It integrates the APIs of several mainstream playback platforms (such as Youku and Tencent Video) and promotion platforms (such as ByteDance's advertising platform and Tencent Ads). When a distribution command is triggered, the module calls the APIs of each platform in parallel, pushing content metadata, encrypted final video URLs, and smart contract addresses. Simultaneously, it can automatically extract highlights from the final video as promotional materials and create a campaign plan with one click.

[0019] 4. Oracle Service Module: This module is the system's "sensory organ." Acting as a bridge between off-chain and on-chain systems, it periodically crawls encrypted revenue data from the streaming platform's API. After being signed by trusted hardware (such as a TEE) or through multi-party computation, it sends the trusted data packet to the on-chain smart contract, triggering the settlement logic.

[0020] 5. Automatic Revenue Sharing Execution Module: This module is the system's "loop system." After the smart contract is triggered, it will automatically call the connected payment gateway service (such as Alipay Merchant Revenue Sharing API) to accurately transfer funds from the escrow account to the accounts of all participating parties, and generate an immutable revenue sharing record.

[0021] The specific steps of the method have been described in detail in previous conversations and will not be repeated here. Please refer to the flowchart for more information. Figure 2 and Figure 3 .

[0022] 1. System Deployment: Deploy each microservice on a cloud server, manage it using Docker containerization technology, and use Kubernetes for container orchestration and load balancing.

[0023] 2. Data processing: MySQL is used to store structured data, Redis is used as a cache database, and OSS object storage is used to store large media files.

[0024] 3. Smart Contract Development: Smart contracts are written in Solidity, compiled and tested using the Truffle framework, and deployed to the Ethereum blockchain network.

[0025] 4. AI Model Training: Deep learning models are trained using the TensorFlow framework, and transfer learning techniques are employed to improve training efficiency.

[0026] 5. API Interface Development: The API interfaces are designed using a RESTful architecture, and Swagger is used for interface documentation management and testing.

[0027] 6. Security Mechanism: JWT tokens are used for identity authentication, HTTPS protocol is used for data transmission encryption, and RBAC access control model is implemented.

[0028] 7. Monitoring and Early Warning: Build a Prometheus monitoring system and configure Grafana visualization dashboards to achieve real-time monitoring of the system's operating status.

[0029] 8. Oracle service integration: (1) Develop an off-chain data acquisition module and regularly obtain revenue data through the open API interfaces of various playback platforms. (2) Implement a data verification mechanism and use multi-signature to ensure the authenticity and reliability of the data. (3) Establish an encrypted data transmission channel to ensure data security during transmission. (4) Set up a data anomaly detection mechanism to automatically identify and handle abnormal data situations. 9. Payment and revenue sharing system integration: (1) Integrates merchant revenue sharing functionality with mainstream payment channels such as Alipay and WeChat Pay. (2) Develop a funds account management system to achieve automated clearing and settlement of funds. (3) Establish a transaction reconciliation mechanism to ensure the accuracy and traceability of each transaction. (4) Implement multi-level revenue sharing functionality to support complex copyright revenue distribution scenarios. 10. User Interface Development: (1) Develop a responsive web front-end interface using the React framework. (2) Use the Ant Design component library to ensure UI consistency and aesthetics. (3) Develop data visualization components to display transaction data and system status in real time. (4) Achieve mobile adaptation and support access and operation from multiple terminals. 11. Testing and Verification: (1) Perform unit testing to ensure the correct functionality of each module. (2) Conduct integration testing to verify the collaborative operation between the various components of the system. (3) Conduct performance testing to ensure the stability of the system under high concurrency scenarios. (4) Conduct security testing to identify and fix potential security vulnerabilities. 12. Deployment and Launch: (1) Automated deployment using CI / CD pipelines (2) Configure load balancing to improve system availability and scalability. (3) Establish a monitoring and alarm system to monitor the system's operating status in real time. (4) Develop contingency plans to ensure rapid recovery in the event of system failure. 1. Efficiency Improvement:

[0030] (1) The traditional copyright transaction process takes an average of 15-30 working days, but after using this system, it can be completed within 1 working day. (2) Manual processing time is reduced by more than 90%, significantly reducing labor costs. (3) Transaction processing capacity increased tenfold, capable of processing thousands of transactions per day. 2. Cost reduction: (1) Operating costs were reduced by 60%, mainly due to automation processes that reduced human intervention. (2) The error rate has been reduced from 5% in the traditional model to below 0.1%. (3) Improved fund settlement efficiency and a 3-fold increase in fund turnover speed 3. Enhanced security: (1) Blockchain technology ensures that all transaction records are immutable. (2) Smart contracts execute automatically, avoiding the risks of human operation. (3) Multi-layered encryption mechanism ensures data security and privacy protection 4. Improved user experience: (1) The user interface is simple and intuitive, and the user learning cost is low. (2) Real-time data display, users can check the transaction status at any time. (3) Multi-channel support: Users can access the system in multiple ways. 1. Technological innovation:

[0031] (1) For the first time, AI evaluation and blockchain smart contracts are deeply integrated into the entire copyright transaction process. (2) Innovatively proposes a trusted on-chain solution for off-chain data based on oracles. (3) Achieve a complete closed loop of one-click distribution and automated revenue sharing across multiple platforms. 2. Highly practical: (1) The system design fully considers actual business needs and supports multiple copyright types. (2) The modular design facilitates system expansion and maintenance. (3) Provides complete API interfaces, making it easy to integrate with other systems. 3. Scalability: (1) The system architecture is flexible and can adapt to business needs of different scales. (2) Technical support for multiple blockchain platforms, avoiding technology lock-in (3) Provide standardized interfaces to facilitate access by ecosystem partners. 4. Social benefits: (1) Promote the standardization and transparency of copyright transactions. (2) Provide a fairer trading environment for small and medium-sized creators (3) Promote the digital transformation and upgrading of the cultural industry Through the above implementation methods, the present invention realizes fully automated management of film and television copyright transactions, improves transaction efficiency, reduces operating costs, and provides reliable technical support for copyright transactions.

[0032] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention. The embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A fully automated film and television copyright trading method based on AI evaluation and smart contracts, characterized in that, Includes the following steps: Step S101: Receive film and television copyright content and its metadata uploaded by the copyright holder; Step S102: Call the AI ​​evaluation model to conduct value assessment and originality verification of the film and television copyright content, and generate an evaluation report containing suggested authorization terms; Step S103: In response to the copyright holder's confirmation instruction, generate a standardized electronic license agreement based on the proposed license terms; Step S104: Convert the standardized electronic authorization protocol into automatically executable smart contract code and deploy it to the blockchain network; Step S105: In response to the copyright holder's one-click distribution instruction, distribute the film and television copyright content and the access interface of the smart contract to one or more target playback platforms; Step S106: Obtain revenue data related to the smart contract from the target playback platform in real time or periodically through an off-chain oracle service; Step S107: The smart contract automatically verifies the revenue data according to the preset revenue sharing rules and triggers the payment system to perform fund clearing operations, automatically distributing the revenue to the predefined accounts of each participant.

2. The method according to claim 1, characterized in that, The "calling the AI ​​evaluation model" in step S102 specifically includes: Natural Language Processing (NLP) technology is used to perform textual semantic analysis on copyrighted script content in order to assess its plot structure, character setting value, and generate an originality plagiarism check report. And / or, This study uses computer vision (CV) technology to extract and compare video fingerprints of copyrighted content in the form of films to assess its content quality and generate an originality plagiarism report.

3. The method according to claim 1, characterized in that, The "one-click distribution command" in step S105 also triggers a promotion and distribution operation, specifically including: Promotional materials will be automatically generated based on the aforementioned film and television copyright content; The promotional materials are distributed to designated social media or advertising platforms via pre-integrated API interfaces; In step S107, the oracle service is also used to obtain promotion effect data from the promotion platform, and the smart contract automatically calculates and executes the settlement of promotion fees based on the promotion effect data.

4. The method according to claim 1, characterized in that, The revenue sharing rules preset in the smart contract are dynamic rules, and the revenue sharing ratio is dynamically adjusted according to at least one of the following factors: The preset tiered threshold reached by the revenue data; The user completion rate of film and television copyright content on the playback platform; Pre-agreed time period indicators.

5. The method according to claim 1, characterized in that, In step S104, the smart contract code also defines the list of contributors and their revenue sharing ratio. In step S107, "each participating party account" includes: copyright holder account, playback platform account, and one or more contributor accounts.

6. A fully automated film and television copyright trading system based on AI evaluation and smart contracts for implementing the method of any one of claims 1-5, characterized in that, include: The AI-powered intelligent evaluation module is used to assess the value and originality of film and television copyright content and generate evaluation reports. The smart contract management module is used to generate and deploy smart contracts based on the terms in the evaluation report; The one-click distribution module is used to distribute copyrighted content and smart contract interfaces to target platforms; The oracle service module is used to reliably obtain revenue and effect data from external platforms; The automatic fund distribution execution module is used to respond to the triggering instructions of smart contracts and perform automated fund distribution.

7. The system according to claim 6, characterized in that, The AI ​​intelligent assessment module includes: The script text analysis unit is used to perform NLP semantic analysis and deduplication. The video analysis unit is used to perform video fingerprint extraction and image comparison.

8. The system according to claim 6, characterized in that, The one-click distribution module includes: The playback platform adapter unit is used to interface with the open APIs of different playback platforms; The promotion platform adapter unit is used to connect to the APIs of different social media and advertising platforms.

9. The system according to claim 6, characterized in that, The system also includes: The unified copyright library module is used to store and manage copyrighted content of various categories, including scripts, finished films, and related merchandise, and to record their copyright derivative relationships.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-5.

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