Block chain-based movie and television episode digital asset copyright evidence storage method and platform

Abstract

The invention discloses a movie and television episode digital asset copyright evidence storage method and platform based on a block chain, and the method comprises an asset feature extraction and evidence storage module which carries out the feature extraction of digital assets of movie and television episodes, generates a lightweight asset feature certificate, and carries out the chaining storage of the lightweight asset feature certificate; a multi-private key generator identity base ring signature module; a dynamic credit consensus module; and the ownership management intelligent contract module is deployed on the block chain and automatically executes asset registration, ownership circulation, infringement evidence fixation and income distribution rules. According to the method, lightweight feature fingerprints are extracted from different modal assets such as videos, audios, texts and images, original files are stored in an interstellar file system (IPFS), and only feature certificates are linked, so that the storage load and the data transmission cost of the block chain are reduced on the premise of ensuring that the unique identifier and the content of the assets cannot be tampered, and the data transmission efficiency is improved. And the evidence storage efficiency and the system expandability are improved.

Description

Technical Field

[0001] This invention relates to the field of digital asset technology, specifically to a blockchain-based method and platform for copyright registration of digital assets in short films and television dramas. Background Technology

[0002] With the rapid development of digital technology and online video platforms, short film and television dramas, as an emerging form of digital content, are experiencing accelerated creation, dissemination, and commercialization. However, short film and television dramas typically involve digital assets in multiple modalities, including scripts, videos, audio, and images. Furthermore, their creation and copyright ownership often involve multiple rights holders, such as screenwriters, directors, producers, distributors, and actors. Under traditional copyright registration and management models, the following prominent issues arise:

[0003] High cost and low efficiency of evidence storage: Traditional copyright registration usually relies on centralized registration agencies, which are cumbersome, time-consuming, and difficult to adapt to the rapid iteration of digital content. If large files such as complete videos and audios are directly stored on the blockchain for evidence storage, the storage and transmission costs are extremely high, and it lacks scalability.

[0004] Difficulty in coordinating ownership among multiple parties: The copyrights of short films and television dramas are often jointly owned or shared by multiple parties. Traditional evidence preservation methods are difficult to achieve efficient and reliable joint declarations and authorization management of the same asset by multiple parties, and lack a collaborative signature mechanism that protects the commercial privacy of all parties.

[0005] Limitations of existing blockchain-based evidence storage solutions: Although blockchain technology provides an immutable foundation for evidence storage, existing solutions often suffer from problems such as high on-chain storage pressure, low consensus efficiency, lack of support for large-scale anonymous collaboration in signature mechanisms, and limited functionality of smart contracts when dealing with multimodal and multi-entity scenarios such as short films and television dramas.

[0006] Therefore, there is an urgent need for a copyright notarization solution that can deeply integrate lightweight notarization, efficient multi-party collaboration, trusted consensus mechanisms, and automated ownership management to adapt to the characteristics of digital assets in film and television short dramas and the actual needs of the industry. Summary of the Invention

[0007] This application provides a blockchain-based method and platform for digital asset copyright registration of short films and television dramas, aiming to solve the problems of high cost, low efficiency, and difficulty in coordinating ownership among multiple parties in existing technologies.

[0008] Firstly, a blockchain-based digital asset copyright registration platform for short films and television dramas includes:

[0009] The asset feature extraction and storage module extracts features from the digital assets of short films and television dramas, generates lightweight asset feature certificates, and stores them on the blockchain.

[0010] The multi-private key generator identity-based ring signature module supports anonymous joint signing by multiple copyright holders, generating a fixed-length verifiable ring signature;

[0011] The dynamic credit consensus module optimizes the consensus process of the consortium blockchain based on the credit history of nodes, thereby improving consensus efficiency and network stability.

[0012] The ownership management smart contract module is deployed on the blockchain to automatically execute rules for asset registration, ownership transfer, evidence of infringement, and revenue distribution.

[0013] Optionally, the asset feature extraction and evidence storage module is specifically used for:

[0014] For video assets, extract keyframe sequences and calculate their perceptual hashes to generate video feature fingerprints;

[0015] For audio assets, extract their Mel-frequency cepstral coefficients or audio fingerprints;

[0016] For text assets, extract their semantic hash or structured feature codes;

[0017] For image assets, deep feature vectors are extracted using a lightweight convolutional neural network;

[0018] The original asset files are stored in the InterPlanetary File System to obtain content identifiers, and the feature fingerprint, content identifiers, and asset metadata are packaged into an asset feature certificate and submitted to the blockchain.

[0019] Optionally, the workflow of the multi-private key generator identity base ring signature module includes:

[0020] Step 1: System initialization, setting up a private key generator pool consisting of k independent private key generators, each private key generator generating and keeping its system master private key confidential;

[0021] Step 2: Ring member key generation. Let the ring consist of n copyright-related parties be denoted as . Calculate the public key of each member's identity. Multiple private key generators collaborate through secure multi-party computation to generate private keys for members. Generate its private key ,in The sum of the master private keys of the private key generators participating in the computation;

[0022] Step 3: Dynamic accumulator calculation, using a bilinear pair dynamic accumulator to accumulate the public key set of ring members;

[0023] Step 4: Fixed-length ring signature generation. The actual signer in the ring uses their private key, the accumulated value V of the ring public key set generated by the dynamic accumulator, and the message digest to be signed to run the signature algorithm and generate a fixed-length ring signature.

[0024]

[0025] Where S is the identifier of the PKG set participating in the signature;

[0026] Step 5: Efficient signature verification. The verifier uses the accumulated value V and the signature. The parameters in the equation are used to verify the validity of the signature by validating a set of bilinear mapping equations.

[0027] Optionally, in step four, a dynamic accumulator is used to calculate the accumulated value of the public key set of ring U. And calculate membership evidence for the actual signer ID_a , where s is the system master key parameter and u is a random number.

[0028] Optionally, the workflow of the dynamic credit consensus module includes:

[0029] Step 1: Establishment and initialization of the node credit evaluation system, creating an independent credit profile for each consensus node in the consortium blockchain network;

[0030] Step 2: Dynamic management of consensus participation rights based on credit thresholds. Set one or more credit thresholds, and only nodes with credit values ​​higher than the credit thresholds are eligible to be elected as master nodes.

[0031] The third step is to optimize the credit-driven consensus process. In each round of consensus, a consensus committee composed of some high-credit nodes is dynamically selected to participate in the voting in order to reduce communication complexity. Credit rewards and penalties for nodes are automatically executed through on-chain smart contracts.

[0032] Optionally, the ownership management smart contract module includes:

[0033] Asset registration contracts are used to verify and record the initial ownership information of digital assets and generate tamper-proof ownership certificates.

[0034] Ownership transfer contracts are used to execute ownership transfer or authorization operations after verifying the identities and permissions of all parties, and to record the complete transfer chain;

[0035] Infringement evidence preservation contract is used to receive and fix the hash value and preservation time of infringement evidence, and generate judicially credible electronic evidence records;

[0036] The revenue distribution contract has built-in programmable distribution rules that automatically distribute revenue to each rights holder when trigger conditions are met.

[0037] Secondly, the blockchain-based method for digital asset copyright registration of short films and television dramas includes the following steps:

[0038] Lightweight feature extraction is performed on the multimodal digital assets of short films and television dramas, and the asset feature certificates are stored on the blockchain;

[0039] A signature ring composed of multiple copyright-related parties is used to anonymously jointly sign asset feature certificates using a multi-private key generator identity base ring signature module.

[0040] Through the dynamic credit consensus module, high-credit nodes reach consensus on transactions containing the signature and asset feature certificates and upload them to the blockchain;

[0041] The ownership management smart contract module automates the management of changes in the ownership status of the digital assets, the fixation of evidence of infringement, and the distribution of proceeds.

[0042] Optionally, the anonymous joint signature includes the following process:

[0043] Construct a key generation system in which multiple private key generators work together;

[0044] Based on the identity identifiers of ring members, member private keys are generated through secure multi-party computation.

[0045] A ring public key information is aggregated using a dynamic accumulator to generate a fixed-length ring signature. The verification efficiency of this signature is independent of the number of ring members.

[0046] Compared with the prior art, this application has at least the following beneficial effects:

[0047] This application extracts lightweight feature fingerprints from assets of different modalities such as video, audio, text, and images, stores the original files on the InterPlanetary File System (IPFS), and only puts the feature certificates on the blockchain. While ensuring the unique identification of assets and the immutability of content, it reduces the storage load and data transmission cost of the blockchain, and improves the efficiency of evidence preservation and system scalability.

[0048] This application utilizes a multi-private key generator identity-based ring signature module, allowing multiple copyright-related parties to jointly sign asset feature certificates while protecting their respective identity privacy. The signature length is fixed, and the verification efficiency is independent of the number of ring members. This not only meets the management needs of shared copyrights for short films and television dramas but also avoids single points of failure through multi-private key generator collaboration, enhancing the system's security and robustness. Furthermore, this mechanism supports tracing the true signer under legal conditions, balancing anonymity and accountability.

[0049] This application constructs a credit evaluation system based on the historical behavior of nodes through a dynamic credit consensus module, and dynamically selects consensus participating nodes and master nodes according to credit values, which effectively reduces the communication complexity in the consensus process, speeds up block confirmation, and incentivizes nodes to participate honestly and suppresses malicious behavior through a credit reward and punishment mechanism, thereby enhancing the stability and anti-attack capability of the entire consortium blockchain network. Attached Figure Description

[0050] Figure 1 A schematic diagram of the module connections of a blockchain-based digital asset copyright registration platform for short films and television dramas provided in one embodiment of this application;

[0051] Figure 2 This is a flowchart illustrating a blockchain-based method for copyright registration of digital assets in short films and television dramas, provided as an embodiment of this application. Detailed Implementation

[0052] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figure 1-2 The present application will be further described in detail with reference to the embodiments.

[0053] The blockchain-based digital asset copyright registration platform for short films and television dramas provided in this application includes:

[0054] The asset feature extraction and storage module extracts features from the digital assets of short films and television dramas, generates lightweight asset feature certificates, and stores them on the blockchain.

[0055] Specifically, to adapt to the characteristics of short film and television projects that include digital assets in various formats such as video, audio, text, and images, differentiated feature extraction methods are adopted for different types of assets. The aim is to represent the core content of the assets with the minimum amount of data and store it on the blockchain.

[0056] For video content such as the main feature and trailers of short films and TV series, instead of directly uploading the complete video file to the blockchain, video processing technology is first used to extract key frame image sequences that can represent the changes in its content from the video stream. Then, a perceptual hash algorithm is used to process each key frame image to generate a fixed set of hash values ​​that can reflect the visual content of the image. Finally, the hash values ​​of all key frames in the entire video are combined and a digest is calculated to form a unique video feature fingerprint to represent the video asset.

[0057] For original music, sound effects, or dubbing audio files in the drama, audio signal processing techniques are used to extract their features. For example, the Mel frequency cepstral coefficients (MFCC) are calculated, which is a feature parameter that can effectively characterize the shape of the audio spectrum; or a specific audio fingerprint of the audio file is generated. The amount of these feature data is much smaller than that of the original audio file, but it is sufficient to uniquely identify and compare them.

[0058] For text assets such as scripts and scripts, natural language processing or hash algorithms are used to extract semantic-level feature codes or structured hash values ​​to ensure that even if individual words are modified or the format is adjusted, the relevance can still be identified as long as the core semantics remain unchanged.

[0059] For image assets such as promotional posters, stills, and concept art, a lightweight convolutional neural network model is used to extract their deep feature vectors. This feature vector is a compact sequence of numbers that can capture the high-level semantic information of the image, thus achieving a lightweight representation of large image files.

[0060] After feature extraction is complete, all original digital asset files are uploaded to the InterPlanetary File System (IPFS) for distributed storage. The IPFS system will return a unique Content Identifier (CID) for each file. Subsequently, the system packages the feature fingerprints of various assets, the corresponding IPFS storage addresses (CIDs), and the descriptive metadata of the assets (such as work name, creator information, creation time, asset type, etc.) to generate a structured "digital asset certificate of authenticity." Finally, only this certificate of authenticity is submitted and recorded on the blockchain, thereby ensuring asset traceability and tamper-proofing while greatly reducing the storage burden on the blockchain and the transmission pressure of data on-chain.

[0061] The multi-private key generator identity-based ring signature module supports anonymous joint signing by multiple copyright holders, generating a fixed-length verifiable ring signature;

[0062] Specifically, the workflow of the multi-private key generator identity base ring signature module includes:

[0063] Step 1: System initialization and parameter settings. and There are two cyclic groups of order p, where p is a large prime number. It is a bilinear mapping, P is The generators. Common parameters generated during system initialization are:

[0064]

[0065] in For three cryptographic hash functions, the system establishes a private key generator pool consisting of k independent private key generators. Each Independently select its system master private key And calculate its master public key. where i = 1, 2, ..., k;

[0066] Step 2: Ring member key generation. Let the ring consist of n copyright-related parties be denoted as . ,in This is the identifier for the j-th member.

[0067] For each ring member Calculate its public key: .

[0068] Multiple private key generators collaboratively compute members Private key: Let the set of PKGs participating in the computation be . ,make Then the members The private key is calculated as follows:

[0069]

[0070] This calculation is performed using a secure multi-party computation protocol, ensuring that no single PKG can obtain the complete private key;

[0071] Step 3: Dynamic accumulator calculation. A bilinear pair dynamic accumulator is used to accumulate the public key set of the ring members. Assume the system selects a random number... As initial value;

[0072] Calculate the cumulative value of the public key set of ring U:

[0073]

[0074] in This refers to the system master key parameters;

[0075] For a specific member in the ring (The actual signatory), calculate the evidence of their membership:

[0076] ;

[0077] Step 4: Fixed-length ring signature generation. Let the message to be signed be the hash value of the copyright certificate data m. The signer is the a-th member in the ring;

[0078] Select random number ,calculate:

[0079] ,in

[0080]

[0081]

[0082]

[0083]

[0084] Select random number ,calculate:

[0085]

[0086]

[0087]

[0088] Calculate the challenge value:

[0089]

[0090] Calculate the response value:

[0091]

[0092]

[0093]

[0094]

[0095]

[0096] Finally, a fixed-length ring signature is generated:

[0097]

[0098] Where S is the identifier of the PKG set participating in the signature;

[0099] Step 5: Efficient signature verification; the verifier receives the signature. After message m, perform the following verification steps:

[0100] Recalculate the accumulated value V (using the publicly available ring membership and system parameters).

[0101] Verify whether the following equation holds true:

[0102]

[0103]

[0104]

[0105]

[0106]

[0107] If all equations are true, the signature is valid;

[0108] Step Six: Conditional Retrospection. When a copyright dispute arises and it is necessary to confirm the true signatory, member a in the ring can provide evidence. Prove your identity. Verifier checks. If the signature is valid, then the identity of the signatory can be confirmed. ;

[0109] This signature scheme has the following advantages: the signature length is fixed and does not increase with the number of ring members n, saving storage space; there is no need to traverse the ring members during the verification process, resulting in high verification efficiency; it supports multi-PKG collaboration, avoiding single points of failure and improving system fault tolerance; while protecting the privacy of the signer, it supports identity tracing under legal conditions, which meets the actual needs of copyright management for short films and television dramas.

[0110] The dynamic credit consensus module optimizes the consensus process of the consortium blockchain based on the credit history of nodes, thereby improving consensus efficiency and network stability.

[0111] Specifically, the workflow of the dynamic credit consensus module includes:

[0112] Step 1: Establishment and initialization of the node credit evaluation system. This involves creating an independent credit profile for each consensus node in the consortium blockchain network and assigning it an initial credit value. A node's credit value is a quantitative reflection of the reliability of its historical behavior. The credit evaluation system has clearly defined reward and punishment rules: if a node successfully and honestly completes tasks such as consensus voting, block verification, and information synchronization, its credit value will accumulate and increase; conversely, if a node is detected to have malicious behavior (such as double-signature attacks, intentionally spreading false information), or fails to respond or time out during the consensus process, its credit value will be significantly reduced. The calculation and updating of credit values ​​are automatically executed by smart contracts deployed on the chain, ensuring the transparency and immutability of the evaluation process.

[0113] Step 2: Dynamic management of consensus participation rights based on credit thresholds. One or more credit thresholds are set as the entry requirements for nodes to participate in the core consensus process. The specific implementation includes two levels:

[0114] In the master node election qualification screening, during the master node election phase before each round of consensus begins, the system first generates a list of candidate nodes based on a preset algorithm (such as a random number seed). However, not all candidate nodes will be elected. The real-time credit value of the candidate nodes will be checked, and only those with a credit value higher than the set master node credit threshold will be elected. Only when a node is selected as the master node is the node qualified to be elected. This mechanism ensures that the core nodes of the leadership consensus have a high degree of credibility.

[0115] The consensus committee size is optimized by dynamically determining a consensus committee composed of nodes with high credit scores based on the current network status and credit distribution. An upper limit is set on the number of nodes allowed to participate in voting, and nodes with higher credit scores are prioritized to form the voting group for this round of consensus through weighted random selection and other methods. This significantly reduces the complexity of message broadcasting and communication overhead during the consensus process.

[0116] The third step is to optimize the consensus process driven by credit. In the optimized consensus process, the core stages such as request, pre-preparation, preparation, confirmation, and response are retained, but their participation scope is regulated by the credit system. The consensus committee composed of high-credit nodes can reach a consensus more quickly and reliably. If the master node behaves improperly in the consensus process, its credit value will be quickly deducted and it will lose its leadership qualification in subsequent rounds. This can trigger the view replacement protocol more quickly, elect a new qualified master node, and improve the system's fault tolerance and self-recovery capabilities for faulty and malicious nodes.

[0117] The ownership management smart contract module is deployed on the blockchain to automatically execute rules for asset registration, ownership transfer, evidence collection of infringement, and profit distribution.

[0118] Specifically, when the copyright holder calls this interface, the asset registration and initial evidence preservation contract needs to submit a signed asset characteristic certificate, ownership statement (including the rights holder's identity, rights type, rights ratio, etc.), and timestamp information. After the contract verifies the validity of the signature, it binds the above information with a unique asset identifier, creates an immutable initial ownership record on the blockchain, and triggers the "asset registered" event, completing the first confirmation and evidence preservation of the copyright on the chain.

[0119] The copyright transfer and licensing record contract manages subsequent changes to copyright rights and supports two core operations:

[0120] In the case of copyright transfer, when copyright is assigned, inherited, or gifted, the current rights holder and the recipient jointly initiate a transfer request. After verifying the identities of both parties and the current rights holder's authority, the contract updates the ownership information under the asset identifier to the recipient's information and records the complete transfer process, forming a clear chain of ownership changes.

[0121] In the authorization process, the rights holder can initiate an authorization operation, setting the authorized party, the scope of authorization (such as the broadcasting platform, region, and duration), the authorization method (such as exclusive or non-exclusive), and the authorization fee terms. The contract records this authorization detail on the blockchain, generating a timestamped license certificate to provide credible proof for the authorization transaction.

[0122] The infringement evidence fixation and tracing contract provides technical support for rights protection. When suspected infringement is discovered, the rights protection party can submit infringement evidence (such as the characteristic fingerprint of the infringement content, the hash of the screenshot of the infringement page, timestamp, etc.) to the contract. The contract will package the hash value of the infringement evidence, the evidence storage time, and the identity of the rights protection party together and put them on the blockchain to complete the judicial credible fixation of the infringement evidence. This on-chain record can serve as key electronic evidence to prove the time point of the existence of the infringement in subsequent legal proceedings.

[0123] This automated revenue distribution contract addresses the characteristics of short films and television dramas involving multiple participants and revenue sharing. Based on smart contracts, the contract enables automatic revenue distribution. Revenue distribution rules are pre-programmed into the contract (e.g., based on the initial registered rights ratio, or the agreed-upon sharing ratio during ownership transfer or authorization). When revenue distribution conditions are triggered (e.g., authorization fees arrive at the on-chain address, or platform playback revenue settlement), the contract automatically performs calculations and distributes the revenue funds (if on-chain payment is involved) or generates corresponding revenue right certificates directly and accurately to the respective rights holder addresses, greatly reducing the complexity and potential disputes associated with manual settlement.

[0124] The above contract modules are interconnected and together construct a complete ownership management system. All ownership status, transfer history, authorization records, infringement evidence, and revenue distribution records are open, transparent, traceable, and tamper-proof. By calling the contract's query function, any participant can easily verify the current ownership status, historical transfer path, and authorization validity of the assets, thereby improving the efficiency, credibility, and automation level of digital asset management for short films and television dramas.

[0125] In one embodiment, a blockchain-based method for digital asset copyright registration of short films and television dramas is provided, applied to the aforementioned blockchain-based digital asset copyright registration platform for short films and television dramas, and includes the following steps:

[0126] Lightweight feature extraction is performed on the multimodal digital assets of short films and television dramas, and the asset feature certificates are stored on the blockchain;

[0127] A signature ring composed of multiple copyright-related parties is used to anonymously jointly sign asset feature certificates using a multi-private key generator identity base ring signature module.

[0128] Through the dynamic credit consensus module, high-credit nodes reach consensus on transactions containing the signature and asset feature certificates and upload them to the blockchain;

[0129] The ownership management smart contract module automates the management of changes in the ownership status of the digital assets, the fixation of evidence of infringement, and the distribution of proceeds.

[0130] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A blockchain-based digital asset copyright registration platform for short films and television dramas, characterized in that: include: The asset feature extraction and storage module extracts features from the digital assets of short films and television dramas, generates lightweight asset feature certificates, and stores them on the blockchain. The multi-private key generator identity-based ring signature module supports anonymous joint signing by multiple copyright holders, generating a fixed-length verifiable ring signature; The dynamic credit consensus module optimizes the consensus process of the consortium blockchain based on the credit history of nodes, thereby improving consensus efficiency and network stability. The ownership management smart contract module is deployed on the blockchain to automatically execute rules for asset registration, ownership transfer, evidence of infringement, and revenue distribution.

2. The blockchain-based digital asset copyright registration platform for short films and television dramas according to claim 1, characterized in that, The asset feature extraction and evidence storage module is specifically used for: For video assets, extract keyframe sequences and calculate their perceptual hashes to generate video feature fingerprints; For audio assets, extract their Mel-frequency cepstral coefficients or audio fingerprints; For text assets, extract their semantic hash or structured feature codes; For image assets, deep feature vectors are extracted using a lightweight convolutional neural network; The original asset files are stored in the InterPlanetary File System to obtain content identifiers, and the feature fingerprint, content identifiers, and asset metadata are packaged into an asset feature certificate and submitted to the blockchain.

3. The blockchain-based digital asset copyright registration platform for short films and television dramas according to claim 1, characterized in that, The workflow of the multi-private key generator identity base ring signature module includes: Step 1: System initialization, setting up a private key generator pool consisting of k independent private key generators, each private key generator generating and keeping its system master private key confidential; Step 2: Ring member key generation. Let the ring consist of n copyright-related parties be denoted as . Calculate the public key of each member's identity. Multiple private key generators collaborate through secure multi-party computation to generate private keys for members. Generate its private key ,in The sum of the master private keys of the private key generators participating in the computation; Step 3: Dynamic accumulator calculation, using a bilinear pair dynamic accumulator to accumulate the public key set of ring members; Step 4: Fixed-length ring signature generation. The actual signer in the ring uses their private key, the accumulated value V of the ring public key set generated by the dynamic accumulator, and the message digest to be signed to run the signature algorithm and generate a fixed-length ring signature. ； Where S is the identifier of the PKG set participating in the signature; Step 5: Efficient signature verification. The verifier uses the accumulated value V and the signature. The parameters in the equation are used to verify the validity of the signature by validating a set of bilinear mapping equations.

4. The blockchain-based digital asset copyright registration platform for short films and television dramas according to claim 3, characterized in that, In step four, a dynamic accumulator is used to calculate the accumulated value of the public key set of ring U. And calculate membership evidence for the actual signer ID_a , where s is the system master key parameter and u is a random number.

5. The blockchain-based digital asset copyright registration platform for short films and television dramas according to claim 1, characterized in that, The workflow of the dynamic credit consensus module includes: Step 1: Establishment and initialization of the node credit evaluation system, creating an independent credit profile for each consensus node in the consortium blockchain network; Step 2: Dynamic management of consensus participation rights based on credit thresholds. Set one or more credit thresholds, and only nodes with credit values ​​higher than the credit thresholds are eligible to be elected as master nodes. The third step is to optimize the credit-driven consensus process. In each round of consensus, a consensus committee composed of some high-credit nodes is dynamically selected to participate in the voting in order to reduce communication complexity. Credit rewards and penalties for nodes are automatically executed through on-chain smart contracts.

6. The blockchain-based digital asset copyright registration platform for short films and television dramas according to claim 1, characterized in that, The ownership management smart contract module includes: Asset registration contracts are used to verify and record the initial ownership information of digital assets and generate tamper-proof ownership certificates. Ownership transfer contracts are used to execute ownership transfer or authorization operations after verifying the identities and permissions of all parties, and to record the complete transfer chain; Infringement evidence preservation contract is used to receive and fix the hash value and preservation time of infringement evidence, and generate judicially credible electronic evidence records; The revenue distribution contract has built-in programmable distribution rules that automatically distribute revenue to each rights holder when trigger conditions are met.

7. A blockchain-based method for copyright registration of digital assets in short film and television dramas, applied to the blockchain-based copyright registration platform for short film and television dramas as described in any one of claims 1-6, characterized in that, Includes the following steps: Lightweight feature extraction is performed on the multimodal digital assets of short films and television dramas, and the asset feature certificates are stored on the blockchain; A signature ring composed of multiple copyright-related parties is used to anonymously jointly sign asset feature certificates using a multi-private key generator identity base ring signature module. Through the dynamic credit consensus module, high-credit nodes reach consensus on transactions containing the signature and asset feature certificates and upload them to the blockchain; The ownership management smart contract module automates the management of changes in the ownership status of the digital assets, the fixation of evidence of infringement, and the distribution of proceeds.

8. The method for digital asset copyright registration of short film and television dramas based on blockchain according to claim 7, characterized in that, The anonymous joint signature includes the following process: Construct a key generation system in which multiple private key generators work together; Based on the identity identifiers of ring members, member private keys are generated through secure multi-party computation. A ring public key information is aggregated using a dynamic accumulator to generate a fixed-length ring signature. The verification efficiency of this signature is independent of the number of ring members.

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