A blockchain copyright storage and traceability method and system for cultural and creative derivative products

Abstract

This invention discloses a blockchain-based copyright notarization and traceability method and system for cultural and creative derivative products. The method comprises five core steps: original work notarization and feature fingerprint anchoring; multi-granularity segmentation and similarity verification of secondary creative materials; compliance verification of multi-level derivative authorization chains; chain-based hierarchical notarization with hierarchical traceability pointers; and full-chain reverse traceability and compliance verification. This invention calculates the proportion of ownership source for secondary creative works through multi-granularity material segmentation and weighted calculation, combined with tiered authorization rules to achieve automatic compliance verification; it employs hierarchical traceability pointers with embedded Merkel proof paths to construct a chain-based ownership association for N levels of continuous derivative works; and it relies on the Byzantine fault-tolerant consensus mechanism of a consortium blockchain to ensure the immutability of notarized data. This invention can achieve full-chain ownership solidification, authorization control, and reliable traceability from original cultural and creative works to multi-level secondary creative derivative products. The generated traceability certificates have judicially verifiable validity, effectively improving the efficiency and credibility of cultural and creative copyright management.

Description

Technical Field

[0001] This invention relates to the fields of digital copyright protection and blockchain technology, and in particular to a blockchain-based copyright registration and traceability method and system for cultural and creative derivative products. Background Technology

[0002] With the rapid development of the digital cultural and creative industry, derivative works based on original cultural and creative works are becoming increasingly common, covering diverse forms such as graphic design, audio-visual adaptation, and digital collectible development. The current copyright management system for cultural and creative derivative products suffers from the following core defects: Difficulty in tracing ownership of multi-level derivatives: After multiple levels of continuous adaptation, the upstream ownership source and authorization chain become unclear. When infringing derivatives are mixed into commercial scenarios, the ownership evidence collection cycle is long and the cost of evidence collection is high, making it difficult to quickly determine liability for infringement. Insufficient credibility of centralized evidence storage: Traditional copyright registration and evidence storage rely on centralized platforms, which are prone to data tampering and loss. The judicial acceptance process is cumbersome and cannot meet the needs of rapid, batch evidence storage for massive amounts of cultural and creative derivative products. Lack of compliance verification mechanisms for derivative works: Existing blockchain copyright solutions mostly only complete evidence storage for original works, lacking the ability to break down multi-granular materials and quantify similarity for derivative works. They cannot accurately determine the proportion of use of the original work by derivative works, nor can they match differentiated tiered authorization rules, leading to frequent compliance risks such as over-scope adaptation and unauthorized commercial use. Weak ability to preserve evidence of continuous derivative works: For cultural and creative works that are continuously derived at the second, third, or even Nth level, the existing solutions cannot build a complete chain of ownership relationships. It is difficult to verify the authorization compliance of each level during the tracing process, and the tracing link is prone to breakage.

[0003] Existing technologies cannot achieve closed-loop management of the entire chain from original cultural and creative works to multi-level derivative products. There is an urgent need for a copyright management solution that combines evidence preservation credibility, compliance verification capabilities, and complete traceability. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a blockchain copyright storage and traceability method and system for cultural and creative derivative products. This system enables the solidification of ownership, automatic verification of authorization compliance, and reliable reverse traceability of the entire chain from original cultural and creative works to multi-level secondary creative derivative products, thereby improving the efficiency, credibility, and compliance of cultural and creative copyright management.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A blockchain-based copyright registration and traceability method for cultural and creative derivative products is proposed to solidify the ownership of original cultural and creative works and multi-level secondary creative derivative products across the entire chain, verify authorization compliance, and conduct credible traceability verification. The method includes the following steps: S1. Original Work Preservation and Feature Fingerprint Anchoring Steps: Collect standardized work metadata, digital digests of ownership certificates, and original author's exclusive digital signatures corresponding to the original cultural and creative works; uniformly calculate and generate a unique original work preservation hash from all collected raw data; send the original work preservation hash to all preservation nodes on the blockchain to complete consensus and on-chain, generating a globally unique original work preservation identifier; simultaneously extract multi-dimensional feature fingerprints of the original cultural and creative works and construct an original work feature fingerprint database; and encrypt and store the entire original feature fingerprint database on the blockchain. S2. Similarity Verification Steps for Multi-Granularity Fragmentation of Secondary Creation Materials: The secondary creation work to be verified and certified is disassembled to extract multi-level, multi-granularity material fragments; independent feature fingerprints are generated for each material fragment; the feature fingerprints of each fragment are matched with the original feature fingerprint database pre-stored on the chain; based on the similarity score of each fragment and the preset fragment weights, a weighted calculation is performed to obtain the overall upstream ownership source ratio of the secondary creation work; S3. Multi-level Derivative Authorization Link Compliance Verification Steps: Based on the overall ownership source ratio output in step S2, retrieve the upstream original work tiered authorization rules pre-stored in the on-chain evidence storage node; compare and verify the actual adaptation ratio, commercial use scenario, and distribution channel of the derivative work with the corresponding authorization thresholds built into the authorization rules; if the ownership source ratio exceeds the corresponding authorization threshold, automatically push an electronic authorization confirmation request to the upstream ownership holder, and the verification can only be passed after the upstream ownership holder completes the authorization confirmation through digital signature; after the verification is passed, encapsulate and generate a standardized derivative evidence storage data package that records the complete multi-level ownership relationship; wherein, the upstream original work tiered authorization rules are configured to match differentiated authorization use scope and derivative revenue distribution ratio for different ownership source ratio ranges; S4. Chain-based hierarchical evidence preservation steps with hierarchical tracing pointers: Perform hash binding operation on the secondary creation evidence preservation data package generated in step S3 and the upstream original work evidence preservation identifier to generate a unique secondary creation evidence preservation hash carrying the Merkel proof path as a hierarchical tracing pointer; send the secondary creation evidence preservation hash and the secondary creator's digital signature to the blockchain evidence preservation node consensus chain; synchronously extract all feature fingerprints of the secondary creation and update them to the on-chain global feature fingerprint library, supporting N-level continuous derivative secondary creation iterative evidence preservation and chain association; S5. Full-link reverse tracing and compliance verification steps: After receiving a copyright tracing query request initiated by an external party, the system traverses all associated evidence storage nodes in the blockchain layer by layer in reverse along the Merkel proof path built into the hierarchical tracing pointer; during the tracing process, the validity of the evidence storage hash at each level and the compliance of the corresponding hierarchical authorization rules are verified level by level; after the complete traversal to the original cultural and creative work evidence storage node, the system performs a serial integrity verification on the evidence storage hashes at all levels of the full-link. If the hash verification of any level node fails, the current secondary work's ownership tracing link is determined to be broken; after the verification is completed, a tracing report containing the complete multi-level ownership tracing link and the full-link compliance verification results is generated, supporting output in two formats: a visual tracing map and structured standard data; at the same time, a traceability electronic certificate with a globally valid digital signature and judicially verifiable validity is generated.

[0006] As a further aspect of the present invention, in step S2, the multi-granularity material segmentation includes at least layer-level segmentation, independent element-level segmentation, and audio / video clip-level segmentation; the segmentation feature fingerprint is selected from at least two of perceptual hashing, semantic hashing, image texture features, color histogram features, and audio voiceprint features; the similarity matching results of each material segmentation are weighted and summed according to the preset weight of the segmentation type to calculate the overall ownership source ratio of the derivative work.

[0007] As a further aspect of the present invention, in step S3, the authorization threshold includes three categories: adaptation ratio threshold, commercial use authorization threshold, and online and offline distribution channel threshold. When the overall ownership source ratio of the derivative work exceeds any one of the authorization thresholds, the system automatically initiates an authorization confirmation request with a unique identification number to the upstream owner. Only after the upstream owner completes the digital signature authorization confirmation can the compliance verification of this derivative work be completed.

[0008] As a further aspect of the present invention, in step S4, the hierarchical tracing pointer embeds the Merkel proof path corresponding to the upstream original work's evidence identification, which is used to quickly locate the upstream ownership block during the tracing stage; each time a secondary work is stored on the chain, all feature fingerprints of the secondary work are synchronously merged into the global feature fingerprint library on the chain, realizing uninterrupted chain-based evidence storage and tracing association of continuously derived cultural and creative works from level two to level three to level N.

[0009] As a further aspect of the present invention, in step S5, after traversing backward along the hierarchical tracing pointer to the original cultural and creative work's certificate node, the certificate hash of each level in the entire derivative link is sequentially verified in series; if the certificate hash verification of any level block does not match, the system immediately marks the ownership link of the derivative work as broken, and highlights the location of the failed node in the tracing report.

[0010] As a further aspect of the present invention, the ownership traceability link generated in step S5 fully records the identity information of the derivative creators at each level, the authorized scope of use at the corresponding level, and the timestamp of the works on the blockchain for evidence storage at each level; the traceability report synchronously generates a verifiable traceability electronic certificate with anti-tampering attributes and a global node digital signature, which can be directly used for judicial evidence in copyright infringement disputes.

[0011] As a further aspect of the present invention, the blockchain adopts a copyright industry consortium blockchain architecture jointly built by multiple institutions.

[0012] As a further aspect of this invention, all evidence storage nodes within the consortium blockchain adopt a Byzantine fault-tolerant consensus mechanism; for each evidence hash to be uploaded to the blockchain, it must be confirmed by a predetermined number of evidence storage nodes before it can be written into the consortium blockchain block to complete the on-chain storage.

[0013] As a further aspect of the present invention, the standardized work metadata in step S1 includes the work type, creation completion time, first public publication information, and the hash of the original work file digest; the digital digest of the ownership certificate is derived from at least one of the encrypted digest of the official copyright registration certificate and the encrypted digest of the complete creation process log.

[0014] As a further aspect of the present invention, a blockchain-based copyright registration and traceability system for cultural and creative derivative products is also included, the system comprising: The original work preservation and feature fingerprint anchoring module is used to collect standardized work metadata, digital digests of ownership certificates, and original author's exclusive digital signatures corresponding to the original cultural and creative works. It uniformly calculates all the collected raw data to generate a unique original work preservation hash; sends the original work preservation hash to all preservation nodes of the blockchain to complete consensus and on-chain, generating a globally unique original work preservation identifier; and simultaneously extracts multi-dimensional feature fingerprints of the original cultural and creative works and constructs an original work feature fingerprint library, which is then encrypted and stored on the blockchain as a whole. The multi-granularity fragment similarity verification module for derivative works is used to disassemble derivative works to be verified and certified, extract multi-level multi-granularity fragments; generate independent feature fingerprints for each fragment; perform global similarity matching between each fragment feature fingerprint and the original feature fingerprint library pre-stored on the chain; and perform weighted calculation based on the similarity score of each fragment and the preset fragment weights to obtain the overall upstream ownership source ratio of the derivative work. The multi-level derivative authorization link compliance verification module is used to retrieve the upstream original work tiered authorization rules pre-stored in the on-chain evidence storage node based on the overall ownership source ratio output by the multi-granularity segmentation similarity verification module of the secondary creation material; compare and verify the actual adaptation ratio, commercial use scenario, and distribution channel of the secondary creation work with the corresponding authorization thresholds built into the authorization rules; if the ownership source ratio is greater than the corresponding authorization threshold, an electronic authorization confirmation request is automatically pushed to the upstream ownership holder, and the verification is passed only after the upstream ownership holder completes the authorization confirmation through digital signature; after the verification is passed, a standardized secondary creation evidence storage data package containing complete multi-level ownership association is encapsulated and generated; wherein, the upstream original work tiered authorization rules are configured to match differentiated authorization use scope and derivative revenue distribution ratio for different ownership source ratio ranges; The chain-based hierarchical evidence storage module with hierarchical tracing pointers is used to perform hash binding operations on the secondary creation evidence storage data package generated by the multi-level derivative authorization link compliance verification module and the upstream original work evidence storage identifier to generate a unique secondary creation evidence storage hash carrying the Merkel proof path as a hierarchical tracing pointer; the secondary creation evidence storage hash and the secondary creator's digital signature are sent to the blockchain evidence storage node consensus on the chain; all feature fingerprints of the secondary creation are extracted simultaneously and updated to the on-chain global feature fingerprint library, supporting N-level continuous derivative secondary creation iterative evidence storage and chain association; The end-to-end reverse tracing and compliance verification module receives copyright tracing query requests from external parties and traverses all associated evidence storage nodes in the blockchain layer by layer along the Merkel proof path built into the hierarchical tracing pointer. During the tracing process, it verifies the validity of the evidence storage hash at each level and the compliance of the corresponding hierarchical authorization rules. After the complete traversal reaches the original cultural and creative work evidence storage node, it performs a serial integrity verification on the evidence storage hashes of all levels in the end-to-end. If the hash verification of any level node fails, it determines that the current secondary work's ownership tracing link is broken. After the verification is completed, it generates a tracing report containing the complete multi-level ownership tracing link and the end-to-end compliance verification results. At the same time, it generates an electronic tracing certificate with a globally valid digital signature.

[0015] Explanation of beneficial effects: Trustworthy solidification of ownership across the entire chain: Based on a consortium blockchain architecture built by multiple institutions and a Byzantine fault-tolerant consensus mechanism, the ownership data of the original work and derivative works at all levels are uploaded to the blockchain through multi-node consensus, possessing the characteristics of immutability and traceability. This solves the problem of insufficient credibility of centralized evidence storage, and the evidence storage results have a basis for judicial evidence.

[0016] Accurate compliance verification for derivative works: By breaking down materials into multiple granularities and matching feature fingerprints across multiple dimensions, the proportion of ownership sources for derivative works is quantitatively calculated. Combined with tiered authorization thresholds, automatic compliance verification is achieved. When the threshold is exceeded, an online authorization confirmation process is triggered, effectively managing compliance risks associated with derivative adaptations and commercial use.

[0017] Multi-level derivative chain association: Using a hierarchical tracing pointer with an embedded Merkel proof path, the chain binding of continuous derivative works from level two to level N is realized. Each level of evidence storage is updated synchronously with the global feature fingerprint database, which can support iterative evidence storage and ownership association of derivative works at unlimited levels.

[0018] Efficient traceability and judicial compatibility: During reverse traceability, the system quickly traverses blocks along the Merkel path, verifying hash validity and authorization compliance at each level, and can accurately locate nodes where the link breaks. The output traceability electronic certificate is accompanied by a global node digital signature, which can be directly used as evidence in copyright infringement disputes, significantly reducing the time and economic costs of copyright protection. Attached Figure Description

[0019] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the overall process of the copyright preservation and traceability method for cultural and creative derivative products described in this invention; Figure 2 is a schematic diagram of the chain-like evidence storage structure and hierarchical tracing pointer principle of the multi-level derivative works of this invention. Detailed Implementation

[0020] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0021] Example 1

[0022] This embodiment fully illustrates the specific implementation of the blockchain copyright storage and traceability method and system for cultural and creative derivatives. It takes the multi-level secondary creation scenario of graphic visual cultural and creative works as a typical application carrier and realizes closed-loop management of the entire process based on the copyright industry consortium blockchain architecture.

[0023] This embodiment uses a copyright industry consortium blockchain jointly built by multiple institutions as the underlying evidence storage infrastructure. The consortium blockchain nodes are jointly deployed by five types of entities: copyright administrative agencies, cultural and creative industry operation platforms, judicial evidence storage centers, industry associations, and third-party testing institutions. Multiple independent evidence storage nodes are configured, employing a Practical Byzantine Fault Tolerance (PBFT) consensus mechanism, which can tolerate malicious or faulty behavior from no more than one-third of the total number of nodes, meeting the high trust and high availability requirements of the consortium blockchain. Each evidence hash to be uploaded to the blockchain must be confirmed by a legally required number of nodes before it can be written into a block for on-chain storage. The consensus process includes four stages: request, pre-preparation, preparation, and submission, ensuring data consistency across all nodes.

[0024] The system is divided into a four-layer architecture: the bottom layer is the consortium blockchain node layer, which is responsible for distributed evidence storage and consensus execution; above it is the cryptographic support layer, which integrates standard cryptographic algorithms such as hash operation, digital signature, symmetric encryption, and asymmetric encryption; above that is the core business layer, which includes six functional modules: original evidence storage module, sharding and dismantling module, similarity matching module, authorization verification module, chain-based evidence storage module, and source tracing verification module; the top layer is the external service layer, which provides three types of standardized call interfaces: evidence storage application, authorization confirmation, and source tracing query.

[0025] All digital signatures in the scheme adopt asymmetric signature algorithms that comply with national cryptographic management standards. Users hold exclusive private keys for signing, while public keys are publicly stored on the blockchain for signature verification. Sensitive data encryption adopts symmetric encryption algorithms, and the keys are independently controlled by the owner. Only authorized nodes can decrypt and access encrypted data on the blockchain.

[0026] S1. Original work preservation and feature fingerprint anchoring steps.

[0027] This step is the ownership benchmark anchoring stage of the entire process. It is executed by the original work preservation module. The input is the original cultural and creative original documents and ownership proof materials, and the output is the on-chain original work preservation identifier and the encrypted storage of the original work feature fingerprint database.

[0028] Further, raw data collection and standardization processing.

[0029] First, three types of core raw data were collected and standardized, then cleaned and converted into a structured format: Standardized work metadata includes six categories of fields: work type, creation completion timestamp, first publication time and channel, file summary hash of the original work file, work format parameters, and author identification. These fields are used to uniquely identify the basic attributes and time dimension of the work.

[0030] Digital digest of ownership certificate: Ownership certificate materials include at least one of the following two types: official copyright registration certificate and complete creation process log; after converting the certificate into a binary data stream, a fixed-length digital digest is generated through hash operation. The digest operation and the evidence hash use the same hash algorithm to ensure that the certificate is tamper-proof and verifiable.

[0031] Original author's exclusive digital signature: The author uses a private key held locally to perform a signature operation on the combination of "original work preservation application instruction + work metadata digest" to generate an exclusive digital signature, which is used to confirm the authenticity of the subject and the legitimacy of the intention of the preservation application.

[0032] Furthermore, the original work's evidence hash is generated and consensus is recorded on the blockchain.

[0033] The three types of standardized data mentioned above are concatenated byte-wise in the order of "metadata + ownership proof digest + author digital signature," and a one-way hash operation is performed using a cryptographic hash algorithm to generate a unique original work proof hash. The specific formula is defined as follows: Let the binary sequence of the standardized work metadata be . The digital digest of the ownership certificate is The original author's exclusive digital signature is The byte concatenation operator is The collision-resistant hash function is Then the original evidence hash satisfy: ; This hash operation has the characteristics of being unidirectional and irreversible, and collision resistant. Even a small change to any original data will cause a significant change in the final hash value, thus ensuring the verifiability and tamper-proof nature of the stored data from the bottom layer.

[0034] After generating the original work notarization hash, the requesting node broadcasts the notarization proposal to all nodes in the consortium blockchain. Each node independently verifies the data format, signature validity, and ownership proof format validity. After successful verification, the process enters the Byzantine fault-tolerant consensus process. After multi-stage interaction to achieve consensus among a majority of nodes, the hash value and corresponding metadata index are officially written into the new block. At the same time, the system assigns a globally unique original work notarization identifier. This identifier serves as a unique primary key for retrieving the original copyright on the blockchain. It is uniquely bound to the block height and block hash, and cannot be duplicated.

[0035] Furthermore, the original feature fingerprint database is constructed and stored on the blockchain.

[0036] Simultaneously, multi-dimensional feature extraction is performed on original cultural and creative works to construct a feature fingerprint database. For two-dimensional visual cultural and creative works, at least two types of feature fingerprints are extracted simultaneously. Multi-feature fusion is used to improve the accuracy of similarity matching and avoid misjudgment based on a single feature.

[0037] Perceptual hash extraction: The original image is uniformly scaled to a fixed size, converted to grayscale, and the grayscale average of all pixels is calculated. The size relationship between each pixel and the average value is compared one by one to generate a binary perceptual hash sequence, which is used to characterize the overall visual structure of the image.

[0038] Image texture feature extraction: The gray-level co-occurrence matrix algorithm is used to extract texture feature vectors in four dimensions: contrast, correlation, energy, and inverse difference moment, which are used to characterize the detailed texture attributes of the image.

[0039] Color histogram feature extraction: The image color space is converted to HSV space, and the pixel distribution histograms are calculated for the three channels of hue, saturation and lightness respectively to generate normalized color feature vectors, which are used to characterize the color distribution attributes of the image.

[0040] All feature fingerprints are assembled into an original feature fingerprint database in a structured format. The fingerprint database is encrypted as a whole using a symmetric encryption algorithm, and the encryption key is held by the original copyright holder. The encrypted fingerprint database is bound to the original evidence identification and stored synchronously on the blockchain in the state database of the consortium blockchain. Only compliance verification nodes holding the decryption key can call the fingerprint database to perform matching operations.

[0041] S2, Steps for verifying the similarity of secondary creation materials at multiple granularities.

[0042] This step is jointly executed by the segmentation module and the similarity matching module. The input is the derivative work file to be certified, and the output is the proportion of the upstream ownership source of the derivative work as a whole, providing a quantitative basis for subsequent compliance verification.

[0043] Furthermore, multi-granular material is segmented and broken down.

[0044] The derivative works to be verified are broken down layer by layer according to granularity, forming a three-level multi-granularity material segmentation system that covers all-dimensional material units from the whole to the part: Layer-level segmentation: Based on the layer structure of the work, it is divided into independent layer segments such as background layer, main element layer, decoration layer, and text layer, corresponding to the largest granular material unit, which is used to check the similarity of the overall framework and style of the work.

[0045] Independent element-level segments: Based on the layer level, further break down into individual material segments such as graphic elements, character images, and logo patterns that can be used independently. These correspond to medium-granularity material units and are used to verify the reuse of core original materials.

[0046] Fine-grained segmentation: The work is divided into several smallest units of equal size / duration according to a fixed grid or timeline, corresponding to the finest-grained material units, used to check the degree of borrowing and adaptation of local content.

[0047] For audio and video creative works, the corresponding replacements are audio track layer segments, independent sound effect segments, and duration segment segments, with the segmentation logic maintaining the same hierarchy as visual works.

[0048] Furthermore, segmented feature fingerprint generation and global matching are performed.

[0049] For each piece of material that has been disassembled, an algorithm completely consistent with the original feature fingerprint database is used to extract the feature fingerprints of the corresponding dimensions to ensure the uniformity and comparability of the matching dimensions.

[0050] Perform a global similarity match between the feature fingerprint of each shard and all original features in the on-chain original feature fingerprint database, and use corresponding similarity calculation methods for different types of features: Perceptual hash discrete features: Hamming distance is used to calculate similarity. The number of different bits in two hash sequences is counted. The smaller the Hamming distance, the higher the similarity. Finally, it is normalized to the 0-1 interval.

[0051] Texture and color vector features: Cosine similarity is used to calculate similarity. The cosine of the angle between two feature vectors is calculated. The closer the value is to 1, the higher the similarity. They are naturally in the 0-1 range.

[0052] For a single piece of material, the similarity scores of multiple features are weighted and fused according to preset weights to obtain the final matching similarity score of the segment. The weights can be flexibly configured according to the type of work. For visual works, the overall structural features are given the dominant weight by default.

[0053] Furthermore, the overall ownership source is weighted and calculated.

[0054] After obtaining the similarity scores of all segments, differentiated weights are configured according to the segment granularity level, and the proportion of upstream ownership sources of the overall derivative works is calculated by weighted summation.

[0055] Suppose that the second-generation work can be disassembled to obtain The first batch of material was divided into segments. The similarity score of the segments is The corresponding shard weight is The overall ownership source proportion The calculation formula is: The weight values ​​are set to a range based on the granularity of the slice: Layer-level subdivision: with a weight range of 0.6-0.8, it has the highest proportion and reflects the ownership weight of the overall framework of the work; Independent element-level fragmentation: The weight ranges from 0.3 to 0.5, accounting for a moderate proportion, reflecting the ownership weight of core original elements; Fine-grained fragment-level segmentation: The weight ranges from 0.1 to 0.3, accounting for the lowest proportion, reflecting the weight of local details.

[0056] The sum of all weight values ​​needs to be normalized to ensure that the final ownership source ratio falls within the range of 0%-100%. The higher the value, the greater the dependence of the derivative work on the original source material. The similarity calculation in this step is completed locally on the authorization verification node, and only the final ratio result is stored on the blockchain to avoid leakage of the original feature data.

[0057] S3, Multi-level Derivative Authorization Link Compliance Verification Steps.

[0058] This step is performed by the authorization verification module. The inputs are the proportion of the ownership source of the derivative works and the information on the use scenarios of derivative works. The outputs are the compliance verification results and the standardized derivative work evidence data package.

[0059] First, configure the tiered authorization rules.

[0060] The blockchain pre-stores tiered licensing rules configured by the upstream original rights holder. The rules are based on the proportion of rights ownership as the core grading dimension, setting multiple licensing ranges. Different ranges are matched with differentiated licensing usage scopes, derivative revenue distribution ratios, and verification logic. Low Percentage Reasonable Use Tier: The corresponding ownership source percentage is lower than the first threshold range. It is adapted to non-commercial reasonable use scenarios by default, does not require separate authorization, can pass compliance verification directly, and all derivative revenue belongs to the second creator.

[0061] Medium percentage of ordinary license: The corresponding ownership source ratio is between the first threshold and the second threshold. It is suitable for non-commercial dissemination and small-scale commercial scenarios. It is automatically granted ordinary license by default, and the derivative revenue is distributed between the original author and the secondary creator according to the preset ratio.

[0062] High-percentage exclusive license: The corresponding ownership source percentage is higher than the second threshold range. It is suitable for large-scale commercial use, exclusive derivatives and other scenarios. It must be manually digitally signed and confirmed by the original copyright holder before it can pass the verification. The revenue distribution ratio is determined by negotiation between the two parties.

[0063] The authorization thresholds include three categories: adaptation ratio threshold, commercial use authorization threshold, and online and offline distribution channel threshold, which correspond to three compliance dimensions: degree of adaptation, nature of use, and distribution channel, respectively. The three thresholds are independent of each other, and derivative works must meet all the threshold requirements of the corresponding level at the same time to be deemed compliant.

[0064] Furthermore, there is a compliance comparison and authorization confirmation process.

[0065] Based on the overall ownership source ratio output in step S2, the system automatically matches the corresponding level of authorization rules and compares the actual adaptation ratio, commercial use scenario, and distribution channel of the second-generation work application with the three types of authorization thresholds built into the authorization rules one by one.

[0066] If none of the attributes of the derivative work exceed the corresponding authorization threshold, the compliance verification will pass automatically; if any attribute exceeds the corresponding authorization threshold, the system will automatically trigger the manual authorization process: generate an electronic authorization confirmation request with a globally unique identification number, which includes basic information about the derivative work, details of similarity matching, and descriptions of the intended use scenarios and channels, and push it to the upstream rights holder's account through the on-chain message channel.

[0067] Once the upstream owner completes the verification within the preset time limit and confirms the authorization through digital signature of the private key, the authorization information is simultaneously uploaded to the blockchain for evidence storage, and the compliance verification is officially passed; if no confirmation is received within the preset time limit, the authorization application is rejected by default, the compliance verification fails, and the subsequent evidence storage process is terminated.

[0068] Furthermore, the data packet for secondary evidence preservation is encapsulated.

[0069] After compliance verification, the system encapsulates and generates a standardized secondary creation evidence data package. This package uses a unified structured format and includes the following core fields: metadata of the secondary creation, the secondary creator's identity and digital signature, the upstream original work's evidence identification, the calculation result of the ownership source ratio, the matching authorization tier, the scope of authorized use, the distribution ratio of derivative revenue, the authorization confirmation digital signature, and the evidence application timestamp. The data package fully records the ownership relationship between the secondary creation and the upstream original work, serving as the core data carrier for subsequent chain-like evidence preservation.

[0070] S4. Chained hierarchical evidence storage steps with hierarchical traceability pointers.

[0071] This step is executed by the chain-based evidence storage module. The input is the secondary evidence storage data package and the upstream evidence storage identifier. The output is the on-chain secondary evidence storage record and the updated global feature fingerprint database, which supports multi-level continuous derivative evidence storage.

[0072] First, the hierarchical tracing pointer is constructed and the evidence hash is generated.

[0073] The data package for secondary creation evidence storage is hash-bound with the evidence storage identifier of the upstream work, and a hierarchical tracing pointer with an embedded Merkel proof path is constructed to generate a unique hash for secondary creation evidence storage.

[0074] First, the standardized secondary creation evidence storage data package... Perform a hash operation to obtain the data packet hash: The data packet hash was then compared with the upstream work's certificate identifier. Together, they serve as leaf nodes and are added to the Merkle tree of the corresponding block, generating a complete proof path from the current leaf node to the root node of the Merkle tree. This path contains the hash values ​​of all sibling nodes on the path, which are the hierarchical tracing pointers.

[0075] Final secondary evidence hash Generated by combining data packet hash, upstream proof identifier, and Merkel proof path: The hash value binds the original work's own evidence data and solidifies the ownership relationship with the upstream work; the Merkel proof path can be used directly to quickly locate the upstream block during the tracing stage without traversing the entire chain, greatly improving the tracing efficiency.

[0076] Furthermore, consensus is on-chain and linked in a chain.

[0077] After generating the hash for secondary creation notarization, the hash value and the secondary creator's digital signature are broadcast together to all notarization nodes on the consortium blockchain. After confirmation by a majority of nodes through the Byzantine fault-tolerant consensus mechanism, it is written into a new block to complete the on-chain notarization. Once on-chain, the secondary creation obtains a unique notarization identifier, which can serve as the upstream ownership entity to support notarization applications for the next level of derivative works.

[0078] Furthermore, the global feature fingerprint database is iteratively updated.

[0079] Simultaneously, all multi-dimensional feature fingerprints of the derivative works being notified are extracted, standardized, and then updated and incorporated into the on-chain global feature fingerprint database. The fingerprint database is simultaneously updated with encryption keys and access permissions. Each time a first-level derivative work notarization is completed, the global feature fingerprint database iterates synchronously once, thereby achieving uninterrupted chain-like notarization and ownership association for second-, third-, and even N-level continuously derived cultural and creative works. Theoretically, it supports iterative notarization of derivative works at an unlimited level, with each level of work possessing a complete ownership chain pointer.

[0080] S5. End-to-end reverse traceability and compliance verification steps This step is performed by the traceability verification module. The input is a copyright traceability query request and the certificate of the work to be verified. The output is a complete traceability report and a verifiable electronic traceability certificate.

[0081] Furthermore, the process involves accepting tracing requests and performing reverse traversal.

[0082] When a copyright tracing query request is received from an external party, the system first verifies the identity and permissions of the requester. After the verification is successful, the system locates the corresponding blockchain block based on the evidence of the second-hand work to be verified carried in the request.

[0083] Then, following the hierarchical tracing pointers embedded within the block, all related evidence nodes are traversed layer by layer in reverse according to the Merkel proof path: starting from the current derivative work, the Merkel path is used to locate the previous level work block, and then the tracing pointers of the previous level are used to continue tracing back until the evidence node of the original cultural and creative work is reached. During the traversal, the evidence identifier, block height, and ownership subject information of each level are automatically recorded to form a preliminary ownership chain.

[0084] Furthermore, there are step-by-step compliance and integrity checks.

[0085] During the reverse traversal, two verifications are performed for each level of evidence storage node: Evidence storage hash validity verification: Extract the evidence storage data stored in the current block, re-execute the hash operation, and compare the operation result with the evidence storage hash recorded in the block; if the two are completely consistent, it is determined that the evidence storage data at this level has not been tampered with and the verification is valid; if they are inconsistent, the evidence storage is determined to be invalid.

[0086] Authorization rule compliance verification: Retrieve the authorization rules and authorization confirmation records corresponding to the current level, verify whether the use scenarios, adaptation ratio, and distribution channels of the works at this level meet the corresponding authorization threshold requirements, and at the same time verify the legality of the upstream authorization digital signature to confirm that each level of derivative behavior has a legal authorization basis.

[0087] After fully traversing to the original work's evidence node, a full-link integrity check is performed: following the derivation order from the original work to the current derivative work, the evidence hashes at each level are concatenated sequentially, and an overall hash operation is performed to generate the overall hash value of the link. This hash value is then compared with the latest level evidence hash recorded on the chain to verify the logical consistency of the entire link.

[0088] If the hash verification of any node at any level fails, or the authorization compliance verification fails, the ownership traceability link of the current derivative work is determined to be broken, and the system automatically marks the hierarchical position, block height and cause of failure of the failed node.

[0089] Furthermore, the source tracing results are output.

[0090] After all verifications are completed, the system generates a formal copyright tracing report, supporting two output formats: a visual tracing map and structured standard data. Visualized Source Map: The ownership relationship from the original work to various levels of derivative works is displayed intuitively in the form of a chain topology diagram. The authorization level, certificate storage time and compliance status of each level are marked, and invalid nodes are highlighted in a special style.

[0091] Structured standard data: Complete information in text form, including the identity information of each level of derivative creators, the scope of authorized use at the corresponding level, the timestamp of the works on the blockchain, the similarity ratio data, compliance verification results, and other full information.

[0092] Simultaneously, the system generates a traceability electronic certificate with a globally valid digital signature. The certificate is jointly signed and endorsed by most evidence storage nodes within the consortium blockchain. It adopts a reliable electronic signature format that complies with relevant legal requirements for electronic signatures, and has the characteristics of being tamper-proof and verifiable. It can be directly used as judicial evidence in copyright infringement disputes without the need for additional notarization of the authenticity of the evidence.

[0093] Preferably, the present invention also includes a blockchain-based copyright registration and traceability system for cultural and creative derivative products, the system comprising: The original work preservation and feature fingerprint anchoring module is used to collect standardized work metadata, digital digests of ownership certificates, and original author's exclusive digital signatures corresponding to the original cultural and creative works. It uniformly calculates all the collected raw data to generate a unique original work preservation hash; sends the original work preservation hash to all preservation nodes of the blockchain to complete consensus and on-chain, generating a globally unique original work preservation identifier; and simultaneously extracts multi-dimensional feature fingerprints of the original cultural and creative works and constructs an original work feature fingerprint library, which is then encrypted and stored on the blockchain as a whole. The multi-granularity fragment similarity verification module for derivative works is used to disassemble derivative works to be verified and certified, extract multi-level multi-granularity fragments; generate independent feature fingerprints for each fragment; perform global similarity matching between each fragment feature fingerprint and the original feature fingerprint library pre-stored on the chain; and perform weighted calculation based on the similarity score of each fragment and the preset fragment weights to obtain the overall upstream ownership source ratio of the derivative work. The multi-level derivative authorization link compliance verification module is used to retrieve the upstream original work tiered authorization rules pre-stored in the on-chain evidence storage node based on the overall ownership source ratio output by the multi-granularity segmentation similarity verification module of the secondary creation material; compare and verify the actual adaptation ratio, commercial use scenario, and distribution channel of the secondary creation work with the corresponding authorization thresholds built into the authorization rules; if the ownership source ratio is greater than the corresponding authorization threshold, an electronic authorization confirmation request is automatically pushed to the upstream ownership holder, and the verification is passed only after the upstream ownership holder completes the authorization confirmation through digital signature; after the verification is passed, a standardized secondary creation evidence storage data package containing complete multi-level ownership association is encapsulated and generated; wherein, the upstream original work tiered authorization rules are configured to match differentiated authorization use scope and derivative revenue distribution ratio for different ownership source ratio ranges; The chain-based hierarchical evidence storage module with hierarchical tracing pointers is used to perform hash binding operations on the secondary creation evidence storage data package generated by the multi-level derivative authorization link compliance verification module and the upstream original work evidence storage identifier to generate a unique secondary creation evidence storage hash carrying the Merkel proof path as a hierarchical tracing pointer; the secondary creation evidence storage hash and the secondary creator's digital signature are sent to the blockchain evidence storage node consensus on the chain; all feature fingerprints of the secondary creation are extracted simultaneously and updated to the on-chain global feature fingerprint library, supporting N-level continuous derivative secondary creation iterative evidence storage and chain association; The end-to-end reverse tracing and compliance verification module receives copyright tracing query requests from external parties and traverses all associated evidence storage nodes in the blockchain layer by layer along the Merkel proof path built into the hierarchical tracing pointer. During the tracing process, it verifies the validity of the evidence storage hash at each level and the compliance of the corresponding hierarchical authorization rules. After the complete traversal reaches the original cultural and creative work evidence storage node, it performs a serial integrity verification on the evidence storage hashes of all levels in the end-to-end. If the hash verification of any level node fails, it determines that the current secondary work's ownership tracing link is broken. After the verification is completed, it generates a tracing report containing the complete multi-level ownership tracing link and the end-to-end compliance verification results. At the same time, it generates an electronic tracing certificate with a globally valid digital signature.

[0094] Furthermore, the present invention also includes a blockchain-based copyright registration and traceability system for cultural and creative derivative products, the system comprising: The original work preservation and feature fingerprint anchoring module is used to collect standardized work metadata, digital digests of ownership certificates, and original author's exclusive digital signatures corresponding to the original cultural and creative works. It uniformly calculates all the collected raw data to generate a unique original work preservation hash; sends the original work preservation hash to all preservation nodes of the blockchain to complete consensus and on-chain, generating a globally unique original work preservation identifier; and simultaneously extracts multi-dimensional feature fingerprints of the original cultural and creative works and constructs an original work feature fingerprint library, which is then encrypted and stored on the blockchain as a whole. The multi-granularity fragment similarity verification module for derivative works is used to disassemble derivative works to be verified and certified, extract multi-level multi-granularity fragments; generate independent feature fingerprints for each fragment; perform global similarity matching between each fragment feature fingerprint and the original feature fingerprint library pre-stored on the chain; and perform weighted calculation based on the similarity score of each fragment and the preset fragment weights to obtain the overall upstream ownership source ratio of the derivative work. The multi-level derivative authorization link compliance verification module is used to retrieve the upstream original work tiered authorization rules pre-stored in the on-chain evidence storage node based on the overall ownership source ratio output by the multi-granularity segmentation similarity verification module of the secondary creation material; compare and verify the actual adaptation ratio, commercial use scenario, and distribution channel of the secondary creation work with the corresponding authorization thresholds built into the authorization rules; if the ownership source ratio is greater than the corresponding authorization threshold, an electronic authorization confirmation request is automatically pushed to the upstream ownership holder, and the verification is passed only after the upstream ownership holder completes the authorization confirmation through digital signature; after the verification is passed, a standardized secondary creation evidence storage data package containing complete multi-level ownership association is encapsulated and generated; wherein, the upstream original work tiered authorization rules are configured to match differentiated authorization use scope and derivative revenue distribution ratio for different ownership source ratio ranges; The chain-based hierarchical evidence storage module with hierarchical tracing pointers is used to perform hash binding operations on the secondary creation evidence storage data package generated by the multi-level derivative authorization link compliance verification module and the upstream original work evidence storage identifier to generate a unique secondary creation evidence storage hash carrying the Merkel proof path as a hierarchical tracing pointer; the secondary creation evidence storage hash and the secondary creator's digital signature are sent to the blockchain evidence storage node consensus on the chain; all feature fingerprints of the secondary creation are extracted simultaneously and updated to the on-chain global feature fingerprint library, supporting N-level continuous derivative secondary creation iterative evidence storage and chain association; The end-to-end reverse tracing and compliance verification module receives copyright tracing query requests from external parties and traverses all associated evidence storage nodes in the blockchain layer by layer along the Merkel proof path built into the hierarchical tracing pointer. During the tracing process, it verifies the validity of the evidence storage hash at each level and the compliance of the corresponding hierarchical authorization rules. After the complete traversal reaches the original cultural and creative work evidence storage node, it performs a serial integrity verification on the evidence storage hashes of all levels in the end-to-end. If the hash verification of any level node fails, it determines that the current secondary work's ownership tracing link is broken. After the verification is completed, it generates a tracing report containing the complete multi-level ownership tracing link and the end-to-end compliance verification results. At the same time, it generates an electronic tracing certificate with a globally valid digital signature.

[0095] Example 2

[0096] This embodiment is based on the actual business scenario of a regional cultural and creative industry operation platform to conduct on-the-ground testing. It takes the batch storage, compliance verification and multi-level traceability of graphic illustration-type cultural and creative derivatives as the test object, and verifies the actual technical effect of the method of the present invention through actual test data.

[0097] This embodiment employs a 5-node copyright consortium blockchain test network jointly deployed by five types of entities. The consensus mechanism is a practical Byzantine fault-tolerant mechanism, which can tolerate no more than one node failing or engaging in malicious behavior. The test sample set includes 100 original graphic creative works and 300 corresponding derivative works with varying degrees of adaptation. These are categorized into three types based on the proportion of ownership source: fair use, general license, and exclusive license, with 100 samples in each type. Additionally, 50 secondary and tertiary continuous derivative works are prepared to verify the multi-level chain-based evidence storage and traceability capabilities.

[0098] First, the original work preservation process was tested.

[0099] For 100 original cultural and creative works, the original work preservation and feature fingerprint anchoring process described in step S1 is executed in sequence, including standardized work metadata collection, digital digest generation of ownership certificate documents, digital signature of original author, hash consensus on-chain storage of original work preservation, and encrypted on-chain storage of original work feature fingerprint database.

[0100] Actual test results show that the average time for the entire process of storing a single original work is about 1.2 seconds, and the total time for storing hundreds of works in batches is about 98 seconds, which can meet the needs of rapid batch storage of a large number of cultural and creative works. After the stored data is verified by multi-node consensus, the detection rate of artificially tampered stored data reaches 100%. Any minor changes to the original data can be accurately identified through hash verification, which verifies the tamper-proof nature and judicial credibility of on-chain storage.

[0101] Secondly, the compliance verification process for innovation and entrepreneurship was tested in practice.

[0102] For 300 derivative works, step S2 (multi-granularity fragment similarity verification) and step S3 (multi-level derivative authorization chain compliance verification) are performed sequentially. Each derivative work is decomposed into three types of material fragments: layer level, independent element level, and fine-grained fragment level. Three types of feature fingerprints, namely perceptual hash, texture features, and color histogram, are extracted and matched with the feature fingerprint library of the original work on the chain to complete the full-domain similarity matching. The overall ownership source ratio is calculated by weighting and the tiered authorization rules are automatically matched to complete the compliance verification.

[0103] Actual test results show that the calculation error of the overall ownership source ratio of derivative works is less than 3%, and the comprehensive judgment accuracy of the three authorization levels reaches 97.3%. Works with a low proportion of reasonable use can pass the fully automatic verification, with an average verification time of about 0.4 seconds per work. For 20 unauthorized derivative works that exceed the authorization threshold, the system can automatically intercept them 100% and push authorization confirmation requests to the upstream rights holders, effectively controlling the compliance risks of over-scope adaptation and unauthorized commercial use.

[0104] Then, the multi-level chain-based evidence storage process was tested.

[0105] For 50 consecutive derivative works of level 2 and level 3, the chain-based hierarchical evidence storage process with hierarchical tracing pointers described in step S4 is executed. Each level of evidence storage is hash-bound with the evidence storage identifier of the upstream work, and the Merkel proof path is embedded as the hierarchical tracing pointer, and the global feature fingerprint database on the chain is updated synchronously.

[0106] The test results show that the evidence preservation chain of the three-level derivative works is 100% complete. Each level of evidence preservation can accurately locate the upstream ownership block through the hierarchical traceability pointer. During the continuous evidence preservation process, the global feature fingerprint database iterates without data conflicts and can stably support the uninterrupted chain evidence preservation and ownership association of the two-level, three-level and even N-level continuous derivative cultural and creative works.

[0107] Finally, the full-chain traceability verification process was tested.

[0108] Fifty derivative works of different levels are randomly selected from the test sample. The full-chain reverse traceability and compliance verification process described in step S5 is executed. The traceability pointer is traversed in reverse and verified level by level. Finally, a traceability report and traceability electronic certificate are generated.

[0109] The actual test results show that the average time for full-chain tracing of a single work is about 0.8 seconds, which is about 75% higher than the traditional full-chain traversal mode. The Merkel proof path has a significant effect on rapid location. After the single-level evidence data of 5 works is tampered with, the system can accurately identify the ownership link break with 100% accuracy and accurately locate the level and block position of the failed node. The finally generated traceability electronic certificate is endorsed by the joint digital signature of multiple nodes in the consortium blockchain, which meets the judicial acceptance standard of electronic evidence and can be directly used as evidence in copyright infringement disputes, greatly reducing the time and economic cost of copyright protection.

[0110] In summary, through batch testing and verification in real business scenarios, this embodiment demonstrates that the method of the present invention can effectively solve the core pain points in the existing copyright management of cultural and creative derivatives, such as the difficulty in tracing multi-level ownership, insufficient credibility of centralized evidence storage, lack of compliance verification mechanism for secondary creation, and weak ability to continuously generate evidence storage. It has significant technical effects in terms of evidence storage efficiency, compliance accuracy, traceability performance, and judicial adaptability, and has good industrial application value.

[0111] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A blockchain-based method for copyright registration and traceability of cultural and creative derivative products, characterized in that, The method includes the following steps: S1. Original Work Preservation and Feature Fingerprint Anchoring Steps: Collect standardized work metadata, digital digests of ownership certificates, and original author's exclusive digital signatures corresponding to the original cultural and creative works; uniformly calculate and generate a unique original work preservation hash from all collected raw data; send the original work preservation hash to all preservation nodes on the blockchain to complete consensus and on-chain, generating a globally unique original work preservation identifier; simultaneously extract multi-dimensional feature fingerprints of the original cultural and creative works and construct an original work feature fingerprint database; and encrypt and store the entire original feature fingerprint database on the blockchain. S2. Similarity Verification Steps for Multi-Granularity Fragmentation of Secondary Creation Materials: The secondary creation work to be verified and certified is disassembled to extract multi-level, multi-granularity material fragments; independent feature fingerprints are generated for each material fragment; the feature fingerprints of each fragment are matched with the original feature fingerprint database pre-stored on the chain; based on the similarity score of each fragment and the preset fragment weights, a weighted calculation is performed to obtain the overall upstream ownership source ratio of the secondary creation work; S3. Multi-level Derivative Authorization Link Compliance Verification Steps: Based on the overall ownership source ratio output in step S2, retrieve the upstream original work tiered authorization rules pre-stored in the on-chain evidence storage node; compare and verify the actual adaptation ratio, commercial use scenario, and distribution channel of the derivative work with the corresponding authorization thresholds built into the authorization rules; if the ownership source ratio is greater than the corresponding authorization threshold, automatically push an electronic authorization confirmation request to the upstream ownership holder, and the verification can only be passed after the upstream ownership holder completes the authorization confirmation through digital signature; after the verification is passed, encapsulate and generate a standardized derivative evidence storage data package that records the complete multi-level ownership relationship; wherein, the upstream original work tiered authorization rules are configured to match differentiated authorization use scope and derivative revenue distribution ratio for different ownership source ratio ranges; S4. Chain-based hierarchical evidence preservation steps with hierarchical tracing pointers: Perform hash binding operation on the secondary creation evidence preservation data package generated in step S3 and the upstream original work evidence preservation identifier to generate a unique secondary creation evidence preservation hash carrying the Merkel proof path as a hierarchical tracing pointer; send the secondary creation evidence preservation hash and the secondary creator's digital signature to the blockchain evidence preservation node consensus chain; synchronously extract all feature fingerprints of the secondary creation and update them to the on-chain global feature fingerprint library, supporting N-level continuous derivative secondary creation iterative evidence preservation and chain association; S5. Full-link reverse tracing and compliance verification steps: After receiving a copyright tracing query request initiated by an external party, the blockchain is traversed layer by layer along the Merkel proof path built into the hierarchical tracing pointer, passing through all associated evidence storage nodes. During the traversal, the validity of the evidence storage hash at each level and the compliance of the corresponding hierarchical authorization rules are verified level by level. After the complete traversal to the original cultural and creative work evidence storage node, the chain integrity verification is performed on all hierarchical evidence storage hashes in the entire chain. If the hash verification of any level node fails, the current secondary work's ownership tracing link is determined to be broken. After the verification is completed, a tracing report containing the complete multi-level ownership tracing link and the full-link compliance verification results is generated. At the same time, a traceability electronic certificate with a globally valid digital signature is generated.

2. The blockchain-based copyright registration and traceability method for cultural and creative derivative products according to claim 1, characterized in that, In step S2, the multi-granularity material segmentation includes at least layer-level segmentation, independent element-level segmentation, and audio / video clip-level segmentation; the segmentation feature fingerprint is selected from at least two of perceptual hashing, semantic hashing, image texture features, color histogram features, and audio voiceprint features; the similarity matching results of each material segmentation are weighted and summed according to the preset weight of the segmentation type to calculate the overall ownership source ratio of the derivative work.

3. The blockchain-based copyright registration and traceability method for cultural and creative derivative products according to claim 1, characterized in that, In step S3, the authorization threshold includes three categories: adaptation ratio threshold, commercial use authorization threshold, and online and offline distribution channel threshold. When the overall ownership source ratio of the derivative work exceeds any one of the authorization thresholds, the system automatically sends an authorization confirmation request with a unique identification number to the upstream owner. Only after the upstream owner completes the digital signature authorization confirmation can the compliance verification of this derivative work be completed.

4. The blockchain-based copyright registration and traceability method for cultural and creative derivative products according to claim 1, characterized in that, In step S4, the hierarchical tracing pointer embeds the Merkel proof path corresponding to the upstream original work's evidence identification, which is used to quickly locate the upstream ownership block during the tracing stage. Each time a secondary work is stored on the chain, all feature fingerprints of the secondary work are synchronously merged into the global feature fingerprint library on the chain, realizing uninterrupted chain-based evidence storage and tracing association of continuously derived cultural and creative works from level two to level three to level N.

5. A blockchain-based copyright registration and traceability method for cultural and creative derivative products according to claim 1, characterized in that, In step S5, after traversing backward along the hierarchical tracing pointer to the original cultural and creative work's certificate node, the certificate hash of each level in the entire derivative link is sequentially checked in series; if the certificate hash of any level block does not match, the system immediately marks the ownership link of the derivative work as broken and highlights the location of the failed node in the tracing report.

6. The blockchain-based copyright registration and traceability method for cultural and creative derivative products according to claim 1, characterized in that, The ownership traceability link generated in step S5 fully records the identity information of the derivative creators at each level, the authorized scope of use at the corresponding level, and the timestamp of the works on the blockchain for evidence storage at each level; the traceability report simultaneously generates a verifiable traceability electronic certificate with anti-tampering attributes and a global node digital signature, which can be directly used for judicial evidence in copyright infringement disputes.

7. A blockchain-based copyright registration and traceability method for cultural and creative derivative products according to claim 1, characterized in that, The blockchain adopts a copyright industry consortium blockchain architecture jointly built by multiple institutions.

8. The blockchain-based copyright registration and traceability method for cultural and creative derivative products according to claim 1, characterized in that, All evidence storage nodes within the consortium blockchain adopt a Byzantine fault-tolerant consensus mechanism. For each evidence storage hash to be uploaded to the blockchain, it must be confirmed by a preset number of evidence storage nodes before it can be written into the consortium blockchain block to complete the on-chain storage.

9. A blockchain-based copyright registration and traceability method for cultural and creative derivative products according to claim 1, characterized in that, The standardized work metadata mentioned in step S1 includes work type, creation completion time, first public publication information, and hash of the original work file summary; the digital digest of the ownership certificate document comes from the encrypted digest of the official copyright registration certificate and the encrypted digest of the complete creation process log.

10. A blockchain-based copyright registration and traceability system for cultural and creative derivative products, characterized in that, The system includes: The original work preservation and feature fingerprint anchoring module is used to collect standardized work metadata, digital digests of ownership certificates, and original author's exclusive digital signatures corresponding to the original cultural and creative works. It uniformly calculates all the collected raw data to generate a unique original work preservation hash; sends the original work preservation hash to all preservation nodes of the blockchain to complete consensus and on-chain, generating a globally unique original work preservation identifier; and simultaneously extracts multi-dimensional feature fingerprints of the original cultural and creative works and constructs an original work feature fingerprint library, which is then encrypted and stored on the blockchain as a whole. The multi-granularity fragment similarity verification module for derivative works is used to disassemble derivative works to be verified and certified, extract multi-level multi-granularity fragments; generate independent feature fingerprints for each fragment; perform global similarity matching between each fragment feature fingerprint and the original feature fingerprint library pre-stored on the chain; and perform weighted calculation based on the similarity score of each fragment and the preset fragment weights to obtain the overall upstream ownership source ratio of the derivative work. The multi-level derivative authorization link compliance verification module is used to retrieve the upstream original work tiered authorization rules pre-stored in the on-chain evidence storage node based on the overall ownership source ratio output by the multi-granularity segmentation similarity verification module of the secondary creation material; compare and verify the actual adaptation ratio, commercial use scenario, and distribution channel of the secondary creation work with the corresponding authorization thresholds built into the authorization rules; if the ownership source ratio is greater than the corresponding authorization threshold, an electronic authorization confirmation request is automatically pushed to the upstream ownership holder, and the verification is passed only after the upstream ownership holder completes the authorization confirmation through digital signature; after the verification is passed, a standardized secondary creation evidence storage data package containing complete multi-level ownership association is encapsulated and generated; wherein, the upstream original work tiered authorization rules are configured to match differentiated authorization use scope and derivative revenue distribution ratio for different ownership source ratio ranges; The chain-based hierarchical evidence storage module with hierarchical tracing pointers is used to perform hash binding operations on the secondary creation evidence storage data package generated by the multi-level derivative authorization link compliance verification module and the upstream original work evidence storage identifier to generate a unique secondary creation evidence storage hash carrying the Merkel proof path as a hierarchical tracing pointer; the secondary creation evidence storage hash and the secondary creator's digital signature are sent to the blockchain evidence storage node consensus on the chain; all feature fingerprints of the secondary creation are extracted simultaneously and updated to the on-chain global feature fingerprint library, supporting N-level continuous derivative secondary creation iterative evidence storage and chain association; The end-to-end reverse tracing and compliance verification module receives copyright tracing query requests from external parties and traverses all associated evidence storage nodes in the blockchain layer by layer along the Merkel proof path built into the hierarchical tracing pointer. During the tracing process, it verifies the validity of the evidence storage hash at each level and the compliance of the corresponding hierarchical authorization rules. After the complete traversal reaches the original cultural and creative work evidence storage node, it performs a serial integrity verification on the evidence storage hashes of all levels in the end-to-end. If the hash verification of any level node fails, it determines that the current secondary work's ownership tracing link is broken. After the verification is completed, it generates a tracing report containing the complete multi-level ownership tracing link and the end-to-end compliance verification results. At the same time, it generates an electronic tracing certificate with a globally valid digital signature.

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