Secondary creation authorization method and device based on block chain, and electronic equipment
By leveraging blockchain technology and smart contracts, the decision-making process for licensing adaptations of works has been automated, solving the problem of complex traditional licensing processes, improving efficiency and security, and protecting the rights and interests of creators and copyright holders.
Patent Information
- Application Number
- CN202511559172.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-29
- Publication Date
- 2026-03-03
AI Technical Summary
Traditional licensing processes for adapting works are cumbersome, costly, and inconvenient, limiting their widespread use by ordinary creators. Furthermore, copyright holders face a huge workload and the risk of potential infringement of their rights when making licensing decisions.
A blockchain-based authorization method is adopted, which obtains authorization requests and condition information through smart contracts, combines adaptation summary and market value assessment, uses a voting mechanism to make authorization decisions, and generates and stores authorization agreements through dynamic authorization smart contracts to ensure the rights and interests of both parties.
It reduces the time and financial costs of authorization decisions, improves efficiency, simplifies processes, protects the rights and interests of both parties, provides diversified monetization methods, reduces legal risks, and promotes the healthy development of the secondary innovation ecosystem.
Smart Images

Figure CN121598346A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of derivative works licensing technology, and in particular to a blockchain-based derivative works licensing method, device and electronic device. Background Technology
[0002] In the current digital age, the secondary creation (or derivative works) market is showing significant activity, encompassing not only short video derivative works but also derivative works of literary works. These creative activities have boosted the cultural and entertainment market, bringing traffic to derivative creators while also promoting the widespread dissemination of original works. Secondary creation involves the original author's authorization of their adaptation rights. Traditional adaptation authorization processes are primarily conducted offline. While these processes establish clear legal pathways, their decision-making and execution are cumbersome, costly, and inconvenient, limiting their widespread application, especially for ordinary creators. Summary of the Invention
[0003] In a first aspect, embodiments of this application provide a blockchain-based method for authorizing secondary creations, comprising: The authorization request smart contract obtains the request information carried in the authorization request initiated by the second creator. The request information includes an adaptation summary of the original work, expected authorization fee information, and revenue distribution information. The authorization conditions can be queried through the smart contract to obtain the authorization conditions set by the copyright owner; Based on the adaptation summary, the expected licensing fee information, the revenue distribution information, and the licensing conditions information, the core content and market value of the adapted work are obtained. Based on the core content and market value of the adapted works, an authorization decision is made through a voting mechanism.
[0004] Secondly, embodiments of this application provide a blockchain-based secondary creation authorization system, including: The information acquisition module is used to acquire the request information carried in the authorization request initiated by the second creator through the authorization request smart contract. The request information includes an adaptation summary of the original work, expected authorization fee information, and revenue distribution information. The information acquisition module is also used to query the smart contract through the authorization conditions to obtain the authorization conditions information set by the copyright owner; The information evaluation module is used to obtain the core content and market value of the adapted work based on the adaptation summary, the expected licensing fee information, the revenue distribution information and the licensing conditions information. The authorization decision module is used to obtain authorization decision results through a voting mechanism based on the core content of the adaptation of the derivative works and their market value.
[0005] Thirdly, embodiments of this application provide an electronic device, including: One or more processors; The processor is used to invoke instructions to cause the electronic device to perform the method described in the first aspect above.
[0006] Fourthly, embodiments of this application provide a storage medium storing instructions that, when executed on an electronic device, cause the electronic device to perform the method described in the first aspect above.
[0007] Fifthly, embodiments of this application provide a program product, including at least one of a program and instructions, wherein when the program and instructions are executed by an electronic device, they implement the steps of the method described in the first aspect.
[0008] According to the technical solution of this application, a dynamic authorization decision-making mechanism provides copyright owners with an automated authorization decision-making mechanism, reducing their workload and the threshold for authorization decisions, and also providing them with more diversified monetization methods. The copyright authorization process based on blockchain and smart contract technology reduces the time cost for ordinary creators to obtain authorization, as well as the rights protection cost for copyright owners. This solution significantly improves the efficiency of authorization decisions, simplifies the authorization execution process, reduces the communication costs for second creators requesting authorization, and also reduces the decision-making time cost for copyright owners. It provides a highly efficient and convenient authorization application solution for small-scale second creators, optimizes the authorization process, lowers the operational threshold and the cost of requesting authorization, allows second creators to effectively avoid legal risks, and enables copyright owners to obtain reasonable income from second-generation works, effectively protecting the rights of both parties. Linking the income of the decision-making committee with the income of original works and second-generation works encourages rational voting and protects the rights of copyright owners.
[0009] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description
[0010] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.
[0011] Figure 1 This is a flowchart of the traditional licensing process for adapting works.
[0012] Figure 2This is a flowchart illustrating a blockchain-based secondary creation authorization method according to an exemplary embodiment.
[0013] Figure 3 This is a flowchart illustrating a blockchain-based secondary creation authorization method according to another exemplary embodiment.
[0014] Figure 4 This is a flowchart illustrating a blockchain-based secondary creation licensing system according to an exemplary embodiment.
[0015] Figure 5 This is a block diagram illustrating a blockchain-based secondary creation licensing system according to an exemplary embodiment.
[0016] Figure 6 This is a block diagram illustrating an electronic device for derivative works licensing according to an exemplary embodiment. Detailed Implementation
[0017] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.
[0018] The embodiments described in this application are not exhaustive, but merely illustrative of some embodiments, and are not intended to limit the scope of protection of this application. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined with each other. For example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.
[0019] In each embodiment of this application, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.
[0020] It should be noted that the acquisition, transmission, storage, use, and processing of data in this application comply with the relevant provisions of national laws and regulations and do not violate public order and good morals.
[0021] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, data stored, data displayed, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.
[0022] It is worth noting that in the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, they do not mean that the applicant has used or necessarily used the solution.
[0023] Traditional adaptation licensing process such as Figure 1 As shown, the process mainly includes: First, the two creators select an original work for which they intend to work, and assess its market potential, audience base, etc., and check its current copyright status. Then, the two creators contact the copyright holder through email, social media, or other channels to express their willingness to adapt the work and conduct preliminary negotiations. Next, if the copyright holder is willing, the two creators negotiate specific licensing terms, including the scope of the license (e.g., TV series, movies, web series), the license period, the specific content of the adaptation rights (e.g., whether it includes the right to modify), licensing fees, and payment methods. Following the negotiation results, a professional lawyer or legal professional drafts the adaptation rights licensing agreement, and after both parties agree, the agreement is signed. The two creators pay the licensing fees and adapt the original work to create a script or other adapted work. After the adapted work is completed, it undergoes final review and legal examination. Once approved, the completed adapted work is released and promoted, and revenue sharing and royalties are paid according to the agreement.
[0024] While the aforementioned traditional licensing process for adapting works establishes a clear legal path, its decision-making and execution procedures are cumbersome and complex, costly, and inconvenient, limiting its widespread application, especially for ordinary creators. Specifically, the following problems exist: With the rise of online literature and short video platforms, more and more ordinary users are participating in adaptations and derivative works. These creators are often not professionals, lack an accurate grasp of the boundaries of fair use, and have a low awareness of the importance of obtaining authorization. Furthermore, obtaining authorization is not convenient enough, the process is not clear enough, and the financial threshold for business negotiations is relatively high. Even if derivative creators intend to apply for authorization, copyright holders face an enormous workload if they manually review the large number of applications, resulting in very low screening efficiency. In addition, copyright holders themselves may be amateur or small-scale authors, lacking professional legal teams, and may unintentionally infringe upon their own rights during the authorization decision-making process, making subsequent rights protection difficult. Currently, although the market for derivative works and adaptations is booming, the quality of works varies greatly, many works have not obtained proper authorization, and infringement is widespread.
[0025] To address the aforementioned issues, this application proposes a reliable and convenient method and system for licensing micro-level derivative works, focusing primarily on the licensing decision-making process. This application aims to assist original authors and derivative creators in completing licensing decisions and processes more efficiently and securely, protecting the legitimate rights and interests of both parties, thereby promoting the healthy development of the cultural industry.
[0026] The following description, with reference to the accompanying drawings, describes a blockchain-based method, system, and device for authorizing secondary creations.
[0027] It should be noted that the executing entity of the blockchain-based secondary creation authorization method in this application embodiment can be a blockchain-based secondary creation authorization device. This device can be implemented by software and / or hardware, and can be configured in an electronic device, which may include, but is not limited to, a terminal, a server, etc.
[0028] Figure 2 This is a flowchart illustrating a blockchain-based secondary creation licensing method according to an exemplary embodiment. For example... Figure 2 As shown, this blockchain-based secondary creation authorization method may include, but is not limited to, the following steps.
[0029] Step 201: Obtain the request information carried in the authorization request initiated by the second creator through the authorization request smart contract. The request information includes an adaptation summary of the original work, expected authorization fee information, and revenue distribution information.
[0030] In some embodiments, copyright owners need to upload copyright information to the blockchain. Copyright owners can customize and deploy a smart contract for querying authorization conditions as needed. This contract contains specific authorization condition information, which can be provided to derivative works for querying.
[0031] In some embodiments, when a secondary creator initiates a licensing request, they need to submit request information, which may include, but is not limited to, an adaptation summary of the original work, expected licensing fees, and revenue distribution information.
[0032] For example, a second creator searches the blockchain for the current copyright status, copyright ownership entity, and authorization conditions of the copyright owner of an original work they intend to create. Based on these authorization conditions and their own second creation concept outline, the second creator calls the authorization request smart contract and uploads an authorization request carrying the request information.
[0033] In some embodiments, to prevent second creators from unilaterally changing the licensing terms in the later stages of collaboration, thereby causing ineffective occupation and waste of system resources in the early stages, second creators may be required to pay a certain percentage of the security deposit at the licensing request stage to ensure the stability of the collaboration process and the protection of the rights and interests of both parties.
[0034] Step 202: Obtain the authorization conditions information set by the copyright owner through the smart contract query.
[0035] In some embodiments, copyright owners can customize and deploy a smart contract for querying licensing conditions as needed. This contract contains specific licensing condition information, which may include the scope of adaptation and the expected licensing fee, etc.
[0036] In some embodiments, copyright owners can query smart contracts regarding preferences, taboos, and inclinations regarding licensing fees and profit-sharing models for adapting original works, using these as initial screening criteria and basis for second creators.
[0037] Step 203: Based on the adaptation summary, expected licensing fee information, revenue distribution information, and licensing conditions information, obtain the core content and market value of the adapted work.
[0038] In some embodiments, the method for obtaining the core content and market value of a derivative work based on an adaptation summary, expected licensing fee information, revenue distribution information, and licensing conditions information includes: extracting core summaries and keywords from the original work and the adaptation summary, and obtaining the core content of the derivative work based on the core summaries and keywords; obtaining the target original part corresponding to the core content of the adaptation in the original work, and obtaining comment information on the target original part through an oracle; assessing the market potential of the derivative work based on the comment information; and using a random forest regression model to quantitatively predict the revenue of the derivative work based on the expected licensing fee information, revenue distribution information, expected licensing fee in the licensing conditions information, and the market potential of the derivative work, thereby obtaining a market revenue gain estimate.
[0039] In some embodiments, the market potential of derivative works can be assessed based on comment information using a neural network model.
[0040] In some embodiments, the method for assessing the market potential of derivative works based on comment information includes: classifying the emotions of characters and plots related to derivative works in the target original part using a sentiment analysis model based on comment information to obtain sentiment classification results; tracking subsequent comment content of comment information using keyword extraction technology and a sentiment analysis model based on the sentiment classification results, identifying the emotional tendencies and hot topics of interest of characters and plots related to derivative works in the target original part based on the subsequent comment content; and assessing the market potential of derivative works based on emotional tendencies and hot topics of interest.
[0041] For example, the feature extraction module extracts the core summary and keywords of the original work and its adaptations to summarize the core content of the adaptation; the licensing fee and revenue sharing ratio extraction module obtains expected licensing fee and revenue distribution information from the requests submitted by the secondary creators, and captures the expected fees and revenue sharing ratios set in advance by the copyright owner from the licensing conditions; the market judgment module collects and processes data from oracles, including user comments on the original work on various platforms, cleans and pre-trains the data, and uses LSTM and LDA models for sentiment analysis and topic modeling to classify the emotions of characters and plots related to the secondary work in the comments, such as likes and dislikes; based on likes The sentiment classification results (like / dislike) are then used to track changes in comment volume, sentiment, and topics through keyword extraction and LSTM. This identifies the market's emotional inclination and focus on characters and plots in derivative works of original works, thereby judging the market potential of the derivative works in the future market. In other words, based on sentiment classification, subsequent changes in sentiment and topics can be tracked. The market's emotional inclination and focus on characters and plots in derivative works of original works can be identified based on sentiment classification, comment volume, and subsequent changes in sentiment and topics. Based on these emotional inclinations and focus, the market potential of the derivative works in the future market can be judged. For example, if the sentiment inclination is "like" and the focus is relatively high, the market potential is considered large. Finally, the information extracted by the licensing fee and revenue sharing extraction module and the information output by the market judgment module are used to quantitatively predict the revenue of derivative works using a random forest regression model, providing a revenue gain estimate. For example, if a derivative creator wants to adapt a plot from a film or television drama, they can obtain the emotional inclination and focus on characters and plots in the derivative works based on comment records for that plot on various platforms.
[0042] Step 204: Based on the core content and market value of the adapted works, an authorization decision is made through a voting mechanism.
[0043] In some embodiments, information such as the core content of the adapted derivative work and its market value is submitted to a decision-making committee. Multiple voters on the committee vote to make a licensing decision, which can include granting the license, requesting manual review, or rejecting the license. If manual review is requested, the copyright owner needs to conduct a manual review, and the review result is either granting the license or rejecting the license.
[0044] In some embodiments, the decision-making committee selects users who have a deep understanding of the original works, a high level of historical credibility, and a willingness to participate in decision-making as voters, based on established criteria.
[0045] For example, the decision-making committee is composed of validators, who must pay a certain deposit to become validators. This deposit mechanism ensures that validators' behavior complies with network norms and that they bear economic responsibility for their decision-making actions. Validators' qualifications and voting rights are dynamically assessed through a comprehensive score, which is updated periodically. The scoring criteria include three main factors: work awareness level, interaction coefficient, and historical authorization reputation score. Validators with higher comprehensive scores are selected as voters for the current period, with voting weight determined by the comprehensive score. Work awareness level is assessed through periodic tests and questionnaires. Interaction score is determined by the number of valid interactions a validator makes on the platform and in the community, including authorizations and authorization requests. These three factors are quantified, and each validator's comprehensive score is calculated as: m * work awareness level score + n * interaction coefficient score + w * historical authorization reputation score, where m, n, and w are weights and can be dynamically adjusted. The interaction coefficient score is obtained by weighted summation of the number of authorizations, authorization requests, and voting participations.
[0046] In some embodiments, after voting concludes, the voting results are automatically output, and a reward and punishment mechanism is implemented based on the voting situation. Considering the market lag, revenue will be distributed after the derivative works are produced: a certain percentage (e.g., 0.1%, adjustable as needed) of the total revenue from original and derivative works within the extended period will be placed into an incentive pool for original works, shared by valid voters. This incentive pool funding links voters' revenue to the revenue of both original and derivative works, forcing voters to comprehensively consider the market value of derivative works and their impact on the market value of original works, making rational judgments. Voters who clearly violate preset taboos but still insist on casting the opposite vote will be penalized by deducting part of their deposit and reducing their authorization reputation score. Users whose votes match the final result will have their authorization reputation score increased. Voters who agree to authorize derivative works but whose derivative works negatively impact the market of original works will have their authorization reputation score and deposit reduced, thus ensuring the fairness and rationality of the decision-making process. Copyright holders should conduct regular reviews by the decision-making committee, and promptly revoke the voting rights of committee members who do not vote in accordance with the authorization standards or whose voting activity is low.
[0047] This embodiment combines the authorization conditions pre-set by the copyright owner with the request information submitted by the creator to comprehensively evaluate the market value of the derivative work and its potential impact on the original work; voters can use this market value and other information as a reference when making authorization votes; and by linking the incentives of voters with the revenue of the original work and the derivative work, it ensures that voters vote rationally.
[0048] This embodiment of the blockchain-based secondary creation authorization method provides copyright owners with an automated authorization decision-making mechanism through a dynamic authorization decision-making mechanism, reducing the workload and decision-making threshold for copyright owners, and also providing them with more diversified monetization methods. The copyright authorization process based on blockchain and smart contract technology reduces the time cost for ordinary creators to obtain authorization, as well as the rights protection costs for copyright owners. This solution significantly improves the efficiency of authorization decisions, simplifies the authorization execution process, reduces the communication costs for secondary creators requesting authorization, and also reduces the decision-making time costs for copyright owners. It provides a highly efficient and convenient authorization application solution for small-scale secondary creators, optimizes the authorization process, lowers the operational threshold and request costs, effectively helps secondary creators avoid legal risks, and allows copyright owners to obtain reasonable benefits from secondary creations, effectively protecting the rights of both parties. Linking the revenue of the decision-making committee with the revenue of original works and secondary creations encourages rational voting and protects the rights of copyright owners. It establishes a sound secondary creation ecosystem that benefits all parties, promotes community activity, and enhances the influence and market value of original works.
[0049] To clearly illustrate the overall authorization process of this application, this embodiment provides another blockchain-based method for authoring derivative works. Figure 3 This is a flowchart illustrating another blockchain-based secondary creation authorization method provided in an embodiment of this application.
[0050] like Figure 3 As shown, this blockchain-based method for authorizing derivative works may include the following steps: Step 301: Obtain the authorization condition information uploaded by the copyright owner through the smart contract query.
[0051] The copyright holder must first upload the licensing terms information, and then the creator can assess whether to request a license for the original work based on the licensing terms information.
[0052] Step 302: Obtain the request information carried in the authorization request initiated by the second creator through the authorization request smart contract. The request information includes an adaptation summary of the original work, expected authorization fee information, and revenue distribution information.
[0053] Step 303: Obtain the authorization conditions information set by the copyright owner through the smart contract query.
[0054] Step 304: Based on the adaptation summary, expected licensing fee information, revenue distribution information, and licensing conditions information, obtain the core content and market value of the adapted work.
[0055] Step 305: Based on the core content and market value of the adapted works, an authorization decision is made through a voting mechanism.
[0056] It should be noted that the implementation methods of steps 302-305 can be found in steps 201-204 of the above embodiments, as the principle is the same, and will not be repeated here.
[0057] Step 306: If the authorization decision result is to agree to the authorization, based on the authorization condition information and request information, the authorization-related information is determined through the dynamic authorization smart contract, and an authorization agreement is generated based on the authorization-related information, and the authorization information is encrypted and stored.
[0058] In some embodiments, when the authorization decision is to grant authorization, a dynamic authorization smart contract will be triggered. This contract, based on the authorization terms pre-set by the copyright holder and the adaptation summary submitted by the second creator, clearly stipulates the scope of adaptation, authorization fees, revenue distribution methods and ratios, and work review terms for the second creation. The terms are stored in encrypted form. The authorization conditions pre-set by the copyright holder take precedence over the conditions requested by the second creator; in case of conflict, the authorization terms set by the copyright holder prevail. If the second creator has no objection to the contract terms, they will sign the contract, which will be deployed on the blockchain and automatically complete the payment of authorization fees. The execution result will be recorded on the blockchain.
[0059] For example, after agreeing to the authorization, the secondary creator invokes the protocol interface of the dynamic authorization smart contract on the blockchain to generate a legally compliant authorization contract. Simultaneously, after signing the authorization contract, the corresponding payment operation is completed. This dynamic authorization smart contract relies on the underlying service of the dynamic authorization decision-making system provided by the system. This service framework embeds editable components, providing copyright owners with highly flexible and personalized configurations. The contract can create an authorization agreement based on the proposed adaptation summary, clearly defining the authorized content, scope, and duration, ensuring that the rights and obligations between the copyright owner and the secondary creator are clearly defined. Secondly, an authorization fee payment guarantee agreement will be generated, ensuring that the authorization fee for the secondary creation is paid on time according to the predetermined terms through the smart contract, and providing a corresponding guarantee mechanism during contract execution. Furthermore, a secondary creation compliance guarantee agreement will be generated, ensuring that the secondary creation strictly adheres to the creative requirements and compliance standards set by the original author. Finally, a copyright revenue sharing payment guarantee agreement will be generated simultaneously, ensuring the automated execution of copyright revenue sharing payments and protecting the economic rights of both parties.
[0060] In some embodiments, the above-described method for encrypting and storing authorization information includes: using a public key provided by the second creator to perform asymmetric encryption on the authorization information to generate first encrypted information; performing hash processing on the authorization information using a hash algorithm to generate a first hash value; encrypting the first hash value using the private key provided by the original author to generate second encrypted information; signing the first encrypted information and the second encrypted information using the private key of the second creator to generate signed encrypted information; and storing the signed encrypted information in the blockchain.
[0061] For example, the copyright owner uses the second creator's public key to perform asymmetric encryption on the authorization information (i.e., the aforementioned authorization terms) to generate M. At the same time, the copyright owner uses a hash algorithm such as SHA256 to calculate the authorization information to generate K. Then, the copyright owner uses the copyright holder's private key to encrypt K to generate N. The copyright holder sends (M, N) to the second creator. If the second creator confirms that there is no error, they use their private key to sign (M, N) to generate Q, and return Q to the copyright owner. The copyright owner stores Q on the blockchain.
[0062] Step 307: Based on the authorization information, review the derivative works submitted by the second creators through the work review smart contract.
[0063] In some embodiments, after a derivative work is completed, a smart contract for review can be initiated to review the derivative work submitted by the derivative creator. If the result of the smart contract is unqualified, the authorization will be refused and the release of the work will be blocked. If the result is qualified, the copyright owner and the derivative creator will automatically distribute profits according to the contract terms. The derivative creator's reputation score can also be updated based on the result of the review and recorded on the blockchain. This reputation score will serve as an important credential for future authorization applications.
[0064] By implementing the above embodiments, a complete authorization decision-making process has been realized, including information on-chaining, authorization requests, authorization decisions, authorization contract signing, work tracking, and copyright revenue sharing. This further improves the multi-party benefit ecosystem for secondary creation, promotes community activity, and enhances the influence and market value of original works.
[0065] To clearly illustrate the above embodiments, specific examples will now be used for explanation. Figure 4 A flowchart illustrating a blockchain-based secondary creation authorization system provided in an embodiment of this application. Figure 4 As shown, the blockchain-based secondary creation licensing method of this application is applied to a blockchain-based secondary creation licensing system. The licensing process of this system includes: the secondary creator performs an on-chain query to find the copyright owner of the intended work and its licensing terms; after evaluation, the secondary creator submits request information; the system's dynamic licensing decision system provides a decision result based on the request information and licensing terms; after agreeing to the license, an licensing contract is initiated and signed; after the secondary creation is completed, a review decision is made, providing a decision result of agreeing to release or rejecting release; all relevant information in the licensing process is recorded on the blockchain. The blockchain-based secondary creation licensing system of this application is mainly aimed at creators with a small market share, relatively low licensing fees and revenues, and whose creative activities have not yet reached a commercial scale. Through the application of blockchain and smart contract technology, combined with a dynamic licensing decision mechanism, the licensing decision and licensing process execution are automated, providing a highly efficient and convenient licensing application solution for small-scale secondary creators, optimizing the licensing process, and reducing the operational threshold and licensing request costs.
[0066] To implement the above embodiments, this application also proposes a blockchain-based secondary creation authorization system. Figure 5 This is a schematic diagram illustrating the structure of a blockchain-based secondary creation authorization system provided in an embodiment of this application. Figure 5As shown, the blockchain-based secondary creation authorization system may include: an information acquisition module 510, an information evaluation module 520, and an authorization decision module 530.
[0067] Among them, the information acquisition module 510 is used to obtain the request information carried in the authorization request initiated by the second creator through the authorization request smart contract. The request information includes an adaptation summary of the original work, expected authorization fee information and revenue distribution information. The information acquisition module 510 is also used to query the smart contract through the authorization conditions to obtain the authorization conditions information set by the copyright owner; Information assessment module 520 is used to obtain the core content and market value of the adapted work based on the adaptation summary, expected licensing fee information, revenue distribution information and licensing conditions information; The authorization decision module 530 is used to determine the authorization decision based on the core content and market value of the adapted works through a voting mechanism.
[0068] Furthermore, in one possible implementation of this application embodiment, the information evaluation module 520 is specifically used for: Extract the core summary and keywords of the original work and the adaptation summary, and obtain the core content of the adaptation of the secondary work based on the core summary and keywords; Obtain the target original part of the original work corresponding to the core content of the adaptation, and obtain comment information on the target original part through the oracle; Based on comments, assess the market potential of derivative works; Based on expected licensing fees and revenue distribution information, expected licensing fees in licensing conditions information, and the market potential of derivative works, a random forest regression model is used to quantitatively predict the revenue of derivative works and obtain a market revenue gain estimate.
[0069] Furthermore, in one possible implementation of this application embodiment, the information evaluation module 520, when evaluating the market potential of the derivative work based on comment information, is specifically used for: Based on comment information, the sentiment analysis model is used to classify the emotions of characters and plots in the original target section involving derivative works, and the sentiment classification results are obtained. Based on the sentiment classification results, keyword extraction technology and sentiment analysis model are used to track the subsequent comment content of the comment information. According to the subsequent comment content, the sentiment tendency and hot topics of concern of the characters and plots involved in the derivative works in the target original part are identified. Assess the market potential of derivative works based on sentiment and current trends.
[0070] Furthermore, in one possible implementation of this application embodiment, the authorization decision module 530 is also used for: If the authorization decision is to grant authorization, based on the authorization conditions and request information, the authorization-related information is determined through a dynamic authorization smart contract, and an authorization agreement is generated based on the authorization-related information. The authorization information is then encrypted and stored.
[0071] Furthermore, in one possible implementation of this application embodiment, the authorization decision module 530 is also used for: Based on authorization-related information, the work review smart contract is used to review the derivative works submitted by the second creators.
[0072] Furthermore, in one possible implementation of this application embodiment, when the authorization decision module 530 encrypts and stores the authorization information, it is specifically used for: The authorization information is asymmetrically encrypted using the public key provided by the second creator to generate the first encrypted information. The authorization information is hashed using a hash algorithm to generate a first hash value, and then the first hash value is encrypted using the private key provided by the original author to generate a second encrypted message. The first and second encrypted information are signed using the private key of the second creator to generate signed encrypted information, which is then stored in the blockchain.
[0073] It should be noted that the foregoing explanation of the blockchain-based secondary creation authorization method also applies to the blockchain-based secondary creation authorization system of this embodiment, and will not be repeated here.
[0074] To implement the above embodiments, this application also proposes an electronic device. Please see [link to relevant documentation]. Figure 6 , Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of this application. For example... Figure 6 As shown, the electronic device 600 includes: a processor 601, and a memory 602 communicatively connected to the processor 601; the memory 602 stores computer execution instructions; the processor 601 executes the computer execution instructions stored in the memory to implement the method provided in the foregoing embodiments.
[0075] To implement the above embodiments, this application also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.
[0076] To implement the above embodiments, this application also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.
[0077] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in this application all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.
[0078] It should be noted that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. Furthermore, such collection / sharing should only be conducted after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes authorization of relevant user information before the user uses the function. In addition, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others with access to personal information data comply with their privacy policies and procedures.
[0079] This application is intended to provide an implementation scheme for users to selectively prevent the use or access to their personal information data. Specifically, this disclosure is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information is de-identified to protect user privacy.
[0080] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0081] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0082] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.
[0083] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.
[0084] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0085] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.
[0086] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0087] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.
Claims
1. A blockchain-based method for licensing secondary creation, characterized in that, include: The authorization request smart contract obtains the request information carried in the authorization request initiated by the second creator. The request information includes an adaptation summary of the original work, expected authorization fee information, and revenue distribution information. The authorization conditions can be queried through the smart contract to obtain the authorization conditions set by the copyright owner; Based on the adaptation summary, the expected licensing fee information, the revenue distribution information, and the licensing conditions information, the core content and market value of the adapted work are obtained. Based on the core content and market value of the adapted works, an authorization decision is made through a voting mechanism.
2. The method as described in claim 1, characterized in that, The process of obtaining the core content and market value of the adapted work based on the adaptation summary, the expected licensing fee information, the revenue distribution information, and the licensing conditions information includes: Extract the core summary and keywords of the original work and the adaptation summary, and obtain the core content of the adaptation of the derivative work based on the core summary and keywords; Obtain the target original part of the adapted core content in the original work, and obtain comment information on the target original part through an oracle; Based on the aforementioned comments, assess the market potential of the derivative works; Based on the expected licensing fee information and revenue distribution information, the expected licensing fee in the licensing conditions information, and the market potential of the derivative works, a random forest regression model is used to quantitatively predict the revenue of the derivative works and obtain a market revenue gain estimate.
3. The method as described in claim 2, characterized in that, The assessment of the market potential of the derivative works based on the comment information includes: Based on the comment information, the emotions of characters and plots involving derivative works in the original target part are classified using a sentiment analysis model to obtain the sentiment classification results; Based on the sentiment classification results, the subsequent comment content of the comment information is tracked through keyword extraction technology and the sentiment analysis model. According to the subsequent comment content, the sentiment tendency and hot topics of concern of the characters and plots involved in the derivative works in the target original part are identified. Based on the stated sentiments and areas of interest, assess the market potential of the derivative works.
4. The method as described in claim 1, characterized in that, After obtaining the authorization decision result, the following is included: If the authorization decision result is to grant authorization, based on the authorization condition information and the request information, the authorization-related information is determined through a dynamic authorization smart contract, and an authorization agreement is generated based on the authorization-related information, and the authorization information is encrypted and stored.
5. The method as described in claim 4, characterized in that, The method further includes: Based on the authorization information, the derivative works submitted by the second creators are reviewed through a smart contract for work review.
6. The method as described in claim 1, characterized in that, The step of encrypting and storing the authorization information includes: The authorization information is asymmetrically encrypted using the public key provided by the two creators to generate the first encrypted information. The authorization information is hashed using a hash algorithm to generate a first hash value, and the first hash value is then encrypted using the private key provided by the original author to generate second encrypted information. The first encrypted information and the second encrypted information are signed using the private keys of the two creators to generate signed encrypted information, which is then stored in the blockchain.
7. A blockchain-based secondary creation authorization system, characterized in that, include: The information acquisition module is used to acquire the request information carried in the authorization request initiated by the second creator through the authorization request smart contract. The request information includes an adaptation summary of the original work, expected authorization fee information, and revenue distribution information. The information acquisition module is also used to query the smart contract through the authorization conditions to obtain the authorization conditions information set by the copyright owner; The information evaluation module is used to obtain the core content and market value of the adapted work based on the adaptation summary, the expected licensing fee information, the revenue distribution information and the licensing conditions information. The authorization decision module is used to obtain authorization decision results through a voting mechanism based on the core content of the adaptation of the derivative works and their market value.
8. An electronic device, characterized in that, include: One or more processors; The processor is used to invoke instructions to cause the electronic device to perform the method of any one of claims 1-6.
9. A storage medium storing instructions, characterized in that, When the instructions are executed on an electronic device, the electronic device causes the electronic device to perform the method of any one of claims 1-6.
10. A program product comprising at least one of a program and instructions, characterized in that, When at least one of the programs or instructions is executed by an electronic device, it implements the steps of the method according to any one of claims 1-6.