36 results about "Digital edition" patented technology

The invention discloses a content fingerprint generation method and system based on a deep learning model and a related method, and belongs to the technical field of digital copyright protection. According to the content fingerprint generation method based on the deep learning model provided by the invention, the size of the digital work data is adjusted to adapt to the input requirement of the deep learning model, and the deep learning model is utilized to perform local feature extraction on the input image, so that subtle differences and key information of the work content can be captured; through the application of a self-attention mechanism, a global feature map is generated, and the global feature map is mapped to a low-dimensional space to obtain a content fingerprint in a high-dimensional vector form, so that the content fingerprint has high uniqueness, even if a file is subjected to operations such as clipping, compression and format conversion, the content fingerprint can still remain unchanged or only has small change, and the content fingerprint can be stored in a high-dimensional space. Therefore, the validity of copyright verification is ensured.

The invention provides a teaching document anti-copy protection method and system based on OCR interference resistance, and belongs to the technical field of information security and digital copyright protection. According to the method, anti-OCR font processing is applied to document characters, invisible disturbance symbols are inserted between characters or paragraphs, watermark information is embedded in document typesetting or font strokes, and finally a standard PDF or DOCX file is compiled. Watermark information is embedded through stroke thickness change, paragraph row spacing indentation perturbation and other modes. The system comprises a font disturbance module, a character disturbance module, a watermark embedding module, a compiling output module and a verification module. According to the method, the human eyes can normally read the document, but messy codes or disorder can occur when the OCR tool extracts the document, and the document cannot be directly reused; meanwhile, watermark information cannot be stripped, so that leakage tracking is facilitated; and the output file keeps a standard format and is compatible with the existing office teaching process. The method is suitable for anti-copying protection of teaching documents, scientific research data, test papers, contract files and the like.

Systems and immersive methods are provided for aggregation and organization of image, video and digital rights data. In an exemplary embodiment, a system and method for aggregation and organization of media data acquired from a plurality of sources is provided. The system and method include a data collection element, a brand commercial (POPmercial) placement for sponsorship element, a stake and mining rewards (Futures In Popular) against placed media element and a user interface that allows publishing of a unique curated media stream as a first-time-ever NFT BROADCAST, (POPcast).

The invention discloses a per-time payment digital copyright management method and system based on attribute-based searchable encryption, and the method comprises the steps: receiving an attribute token transmitted by a user side and a strategy ciphertext transmitted by a data transmitting end, the attribute token being generated by the user side according to an attribute key; the policy ciphertext is generated by the data sending end according to the access policy, the public parameter, the master key, the public key of the user side and the private key of the data sending end; and verifying the matching between the attribute token and the policy ciphertext, generating a certificate during matching, and sending the certificate to the cloud server, so that the cloud server executes security search and returns a matching result according to the certificate, the query trap door sent by the user side and the keyword ciphertext sent by the data sending side, the query trap door is generated by the user side according to the query keyword, the public parameter, the public key of the data sending side and the private key of the user side, and the keyword ciphertext is generated by encrypting the keyword by the data sending side. According to the invention, efficient and reliable technical guarantee is provided for the digital copyright payment per time service.

The invention discloses an artwork digital copyright registration method based on a block chain, and particularly relates to the technical field of digital copyright protection, and the method comprises the following steps: firstly, calculating a blind fingerprint for an artwork, generating a placeholder hash, writing the placeholder hash into the block chain, then opening a revelation window after the delay controlled by a verifiable random function, and submitting the fingerprint and metadata; when the similarity of the revelation works is too high, a congestion signal is generated, dynamic threshold adjustment is triggered, and deep fine similarity is obtained; fingerprint clusters are merged based on comparison results, original artworks and derivative artworks are confirmed according to detail scores after revelation is finished, and a credible copyright relationship is established; according to the method, tampering-free right confirmation of the artwork copyright information is realized, and the registration sequence is ensured to be verifiable; the similarity recognition accuracy is improved through dynamic threshold adjustment and under-chain fine comparison; and a clustering and detail scoring mechanism is used for automatically determining an original and derivative relationship, so that clear and traceable copyright affiliation is realized.

The application discloses a blockchain-based digital copyright evidence storage method, an electronic device and a readable storage medium. The digital copyright evidence storage method comprises the following steps: collecting original content and environment data of a digital work, generating a content hash value and environment data by a hash algorithm, combining the content hash value and the environment data into a to-be-signed meta-information package, generating a data signature by an elliptic curve digital signature algorithm, forming a signed copyright digest data package, and obtaining a structured digest hash value by hashing again; analyzing the environment data of the digital work to obtain a data confidence coefficient, constructing a Merkle tree in combination with the structured hash value, obtaining a root node value and path index information; storing the root node and key meta-information in a blockchain main chain, generating a blockchain auxiliary chain mapping identifier through a work ID and a type hash, and storing a structured copyright data signature package, path index and confidence coefficient in an off-chain database.

This invention provides an intelligent method and system for confirming, tracing, and preventing counterfeiting of digital copyrights, relating to the field of digital copyright technology. It includes acquiring the atomic operation sequence during the creation process of a digital copyright object and constructing a directed acyclic creation graph with atomic operation records as nodes and causal dependencies between operations as edges, where edge weights represent content inheritance. During the creation process, local root hash values ​​are periodically extracted and submitted to the blockchain network, forming a progressive timestamp chain containing multiple time-series anchored credentials. Simultaneously, cross-modal creative elements are extracted from the digital copyright object and organized into a creative semantic graph, containing multi-level nodes and forming a creative inheritance topology through mapping relationships. When a traceability request is received, the directed acyclic creation graph and creative semantic graph of the object to be verified are extracted, and the operation sequence heritability, semantic node overlap, and creation order are calculated respectively with the corresponding data of historical copyright objects. The copyright ownership relationship is determined based on the combination results.

This invention relates to the field of digital asset analysis technology, and more particularly to the RWA digital copyright trading system in the cultural industry. It includes constructing a cultural asset value memory network and extracting implicit cultural value transmission relationships to provide a comprehensive and accurate data foundation and value correlation basis for subsequent transaction analysis and risk assessment; calculating the discrete entropy of trading groups to promptly identify abnormal group structures, enabling early detection of potential transaction risks and abnormal market fluctuations; tracing the transmission path and calculating the attenuation coefficient when a sudden change in discrete entropy is detected to pinpoint the source and intensity of risk propagation, providing crucial clues for risk prevention and control; calculating the repricing step probability by combining transmission intensity and price fluctuations to quantitatively assess the likelihood of significant price changes in target assets; and locking suspected bubble trading nodes and isolating the links when the repricing step probability exceeds a risk threshold, effectively blocking risk spread and ensuring the stability and security of the trading system.

The invention relates to the technical field of ceramic product copyright protection, in particular to a ceramic digital copyright data acquisition and protection method which can provide powerful guarantee for rights and interests of ceramic artists and creators. The method comprises the following steps: acquiring image data, identity information and manufacturing process data of the ceramic work; performing anti-counterfeiting processing on the image data, and embedding a digital watermark into the image data of the ceramic work; the digital watermark comprises author information and a work number; registering the image data, the identity information and the manufacturing process data of the ceramic works on a block chain to obtain a digital document set of the ceramic works; performing time calibration processing on the digital document set, and stamping a timestamp on the digital document set to obtain copyright data of the ceramic work; and establishing a ceramic digital copyright database, setting access authority, and encrypting and storing copyright data of the ceramic works.

The present invention discloses a digital copyright protection method based on the extension of the PDF security mechanism. By encrypting the cross-reference table and the root node and blocking the physical and logical entrances, any PDF parser is prevented from entering the parsing process, thus achieving an encryption effect. In addition to the document control means stipulated by the standard, custom security control options can also be extended, including the number of words copied, the number of reading times, the number of printing times, etc. At the same time, since only a very small amount of data is encrypted, the encryption and decryption performance is greatly improved, and the larger the file, the more obvious the improvement. When the downloaded PDF file is opened on the current device, if it is copied to other computers, it is ensured that the PDF file cannot be opened by any PDF reading tool, thereby preventing the spread of PDF files and achieving the copyright protection of PDF files.

The Bidding on an Asset in Progress (BAIP) system allows live, real-time bidding on a work (song, artwork, invention, story, concept, etc.) during its inception and evolution. The system captures video and / or audio of the work and / or artist during inception and creation and / or production of the work. The live performance in the auction can take place in a metaverse. Depending on how the artist / musician / creator sets up an auction, fans can bid on digital representations of versions and / or parts of the work, the recorded video and / or audio of the work being created, the physical work created, specific copyright rights, and supplemental assets associated with the work or the artist / musician / creator. Such a system enables bidding on any number of combinations of assets captured, created, or modified during one or more auctions. Fans can band together to bid on any asset and establish fractionalized ownership that is optionally governed through a DAO. After completion of the work and auction, ownership of the asset(s) is preferably transferred through NFTs and the winning bidder(s) receives the finished asset(s) (digital and / or physical).

The invention discloses a pirate video traceability method and device, and relates to the technical field of digital copyright protection, and the method comprises the steps: extracting original video content to construct an original multi-dimensional feature set, and enabling a deterministic key to be used for constructing a user associated fingerprint according to the original multi-dimensional feature set; analyzing local content complexity of the original multi-dimensional feature set to dynamically calculate adaptive embedding strength to generate distributed video copies; extracting a suspected pirated video to construct a suspected multi-dimensional feature set to determine an optimal matching copy and generate a dynamic confidence coefficient weight; and decoding and restoring the user identity information based on the deterministic key generated for the optimal matching copy. According to the method, multi-dimensional feature fusion and self-adaptive embedding are realized, a distributed architecture and an anti-attack mechanism are combined, the traceability precision and real-time performance are improved, and the security is enhanced.

The present invention relates to a digital copyright creation module that creates a digital copyright of digital content created using generative AI, and a digital content distribution apparatus and method using the same, and the digital content distribution apparatus includes a digital content creation management unit; and a digital content distribution management unit.

Systems and immersive methods are provided for aggregation and organization of image, video and digital rights data. In an exemplary embodiment, a system and method for aggregation and organization of media data acquired from a plurality of sources is provided. The system and method include a data collection element, a brand commercial (POPmercial) placement for sponsorship element, a stake and mining rewards (Futures In Popular) against placed media element and a user interface that allows publishing of a unique curated media stream as a first-time-ever NFT BROADCAST, (POPcast).

A legislative code versioning system that overcomes various technical deficiencies is described herein. For example, the system can allow users to see which specific updates to a printable copy of a legislative code have occurred since the creation of that printable copy. A computer-readable address that, when read by a computing device, links the computing device to a digital version of the printable copy may be embedded into the publication. The digital version can be depicted in a content page in a network-accessible publication format that displays redlines, annotations, markings, or other representations of change that track differences between two or more versions of the legislative code. Alternatively or in addition, the same or a separate embedded CRA can, when read, link a user device to an unmarked publication of the legislative code.

The application discloses an AIGC copyright tracing and right measurement system and method based on four-layer anchoring and topologically irreversible closed loop, and belongs to the technical field of artificial intelligence safety management and digital copyright. The application realizes full-link trust transmission through four-layer anchoring of a data layer, a computing power layer, a content layer and a judicial layer: topologically irreversible data DNA is generated through adversarial stability training; a computing power birth certificate is generated based on PUF challenge-response; a contribution decoupling algorithm is constructed through integral gradient attribution; and an ACG-ID is generated by constructing an ordered Merkle tree in a fixed order. The modules of the system are strongly coupled, and the absence of any module will lead to the collapse of the overall credibility. The application can simultaneously meet the global AI supervision, judicial evidence and commercial transaction needs, and provides a copyright trust cornerstone for the AIGC industry.

The invention discloses a two-color complementary digital watermark generation and decoding method based on a jitter grid and point diffusion, and the generation method employs a jitter grid sampling algorithm to generate coding point locations, and guarantees the uniform spatial distribution of the point locations through applying controllable random disturbance on a regular grid; two-color complementary coding is carried out, and binary bit streams are mapped into cyan and magenta dot pairs; performing diffusion and rendering on the coding points on the super-resolution canvas by using a Gaussian kernel so as to realize a smooth transition effect of the coding points in vision, and finally generating a watermark image through downsampling; during decoding, the color of the area around the point location is read, the difference of color channel values is compared to extract bit information, and the original watermark is recovered through RS decoding. The method has the advantages of strong visual concealment, high color cast resistance and large coding capacity, and can be widely applied to digital copyright protection and content traceability.

The application discloses a kind of based on dynamic LKG and enhanced watermark intelligent copyright whole cycle management method and system, it is related to digital copyright protection technical field.The method includes: the construction dynamic self-adapting legal knowledge graph (LKG), which fuses copyright case rules, multi-jurisdiction legal regulations and self-adapting update;Design embedded legal semantics enhanced digital watermark, including copyright identification, legal metadata label and explainability fragment;Based on large language model (LLMs), dynamic LKG and enhanced watermark, realize intelligent copyright compliance review, infringement risk prediction, accurate traceability and automatic preliminary evidence chain construction.The application solves the problem that the prior art infringement determination is not accurate, compliance management is passive, and it is difficult to adapt to complex legal environment through the deep cooperation of dynamic legal knowledge and enhanced technology, significantly improves the intelligence and legal adaptability of digital copyright protection.

The invention discloses an original work instant evidence storage, right traceability and authorization management method and system, and relates to the technical field of digital copyright protection, and the system comprises an instant evidence storage module which is used for automatically extracting a digital fingerprint of an original work when the original work is uploaded for the first time, and generating an initial evidence storage certificate containing the digital fingerprint and the uploading timestamp, and writing a hash value of the initial evidence storage certificate into a block chain network for permanent evidence storage. According to the method, a complete closed loop from initial evidence storage and full-life-cycle event recording to one-key verification is constructed, so that instant, continuous and credible management of the right state of the original work is realized, and the authenticity and permanency of each ownership and authorization event recording from the birth of the work are ensured by utilizing the tampering resistance of the block chain; through a logic and physics combined chain type traceability structure, a clear, visible and linked complete right flow path is dynamically generated, and the transparency and efficiency of right confirmation and traceability are greatly enhanced.

The application relates to the technical field of digital copyright management and blockchain evidence storage, and discloses a digital copyright hierarchical right confirmation method and system. The method comprises the following steps: feature extraction, cross-modal alignment and feature fusion are performed on effective modal data of digital content to generate a content feature identifier; a mutual exclusion lock is acquired by taking the content feature identifier as a locking object, and right ownership operation pre-checking is performed based on a directed acyclic graph ownership graph; after the pre-checking is passed, a domain event with an incremental target serial number is generated, sequence continuity and concurrent time sequence checking are performed through a consensus network; the ownership graph and the serial number are updated based on the domain event that passes the checking; the graph nodes and the directed edges are periodically determined and sequenced to generate a linear byte data block sequence, a Merkle tree root hash is generated according to the linear byte data block sequence, and the Merkle tree root hash is submitted to a blockchain through an anchor transaction for evidence storage and solidification. The application can improve the concurrent consistency and the right ownership state evidence credibility in the dynamic right confirmation process of digital copyright.

There are provided systems and methods for short-range transmission of receipt data without contact identifiers. A user may engage in a transaction with another user, such as a purchase of goods, services, or other items from a merchant at a physical merchant location. The merchant may provide options to receive a receipt, where conventional digital receipt transmission would require the user to enter their contact information, such as an email address or phone number. Instead, the user may be provided with an option to receive a digital version of the receipt via short-range wireless communications without entering contact information. A message may be generated having a webpage address or another identifier allowing for retrieval of the digital receipt from a storage system, and the message may then be broadcast locally to the user's device. The broadcast may the cause the user's device to load and present the digital receipt.

The invention discloses an electronic book copyright authentication method and device, a storage medium and a program product, and relates to the technical field of digital copyright management. The invention aims to solve the problems that the copyright of the electronic book cannot be subjected to cross-platform mutual recognition and the authentication efficiency is low due to mutual independence of authentication systems in related technologies. The method comprises the steps that after an electronic book opening instruction is received, a book ID in the electronic book opening instruction is extracted, a user ID is acquired, and a copyright authentication request is constructed according to the book ID; then, sending the request to a block chain network to retrieve whether an ownership voucher record recording an ownership association relationship between the book ID and the user ID exists in a distributed account book or not; and finally, determining whether to load and display the e-book content according to the retrieval result. According to the method, the function of copyright authentication is transferred from an independent centralized server to a unified block chain network, so that an authentication barrier is broken, a unified technical basis is provided for copyright cross-platform interoperation, and the universality and efficiency of digital copyright authentication are improved.

A system for performing digital rights protected content playing includes a computing platform having a hardware processor and a memory storing a software code. The hardware processor executes the software code to receive, from a first user, metadata identifying one or more content segment(s), determine whether the first user has a right to access the content segment(s), produce a playlist using the metadata when the first user has the right, and output the playlist to the first user and / or a second user. The hardware processor may further execute the software code to receive the playlist from the second user, determine each content segment identified by the playlist that the second user has a right to access, generate a content compilation that omits any content segment identified by the playlist to which the second user lacks the right, and playout the content compilation to the second user.

The invention relates to an audiovisual work material tracing method and system based on a block chain, and belongs to the technical field of digital content security management, and the material tracing method comprises the steps: inputting an original audiovisual work material into an AI segmentation engine, segmenting the original audiovisual work material into a plurality of sub-blocks according to semantic relevance, and extracting a hash value and metadata of each sub-block; dynamically constructing at least one logic sub-chain, and generating a root hash value of each logic sub-chain; binding the root hash value with metadata to generate an NFT identifier; in response to a user query request, positioning an NFT identifier corresponding to a target sub-block, retrieving a sub-chain hash path, and comparing a material submitted by a user with a hash deviation result recorded on the block chain; and triggering the smart contract to execute a predefined copyright response action, updating the permission state in the decentralized identity system, and synchronizing the permission state to the block chain network. According to the method, deep fusion from content structure analysis to copyright automatic management is realized, and the granularity, precision and execution efficiency of digital copyright protection are improved.

The application discloses a blockchain-based art digital copyright registration method, and particularly relates to the technical field of digital copyright protection, and comprises the following steps: firstly, a blind fingerprint of an artwork is calculated, and a placeholder hash is generated and written into a blockchain; subsequently, a reveal window is opened after a delay controlled by a verifiable random function, and the fingerprint and metadata are submitted; when the similarity of the revealed work is too high, a congestion signal is generated, a dynamic threshold adjustment is triggered, and deep and fine similarity is obtained; based on the comparison result, the fingerprint is merged into a cluster, and after the reveal is completed, the original and derivative artworks are confirmed according to the detail score, a trusted copyright relationship is established; the application realizes the non-tamperable copyright of the artwork information, ensures that the registration order is verifiable, improves the similarity identification accuracy through dynamic threshold adjustment and off-chain fine comparison, and automatically establishes the original and derivative relationship through the clustering and detail scoring mechanism, so that the copyright ownership is clear and traceable.

The application provides a kind of based on blockchain digital product access method and device, can be used in blockchain technical field, method includes: in response to the digital product access request sent by user, according to the identity identifier of this user, judge whether it has access authority;When the user has the access authority, the storage directory corresponding to the digital product access request is inquired in the decentralized storage network;The digital product is stored in the decentralized storage network;Query result is sent to the user by the decentralized storage network.The based on blockchain digital product access method and device provided by the application effectively solve the security and privacy protection problem of decentralized distributed user key access and operation, can be widely applied in digital copyright, financial business processing and other business scenarios.

The application relates to a blockchain-based audiovisual work material tracing method and system, belonging to the technical field of digital content security management. The material tracing method comprises the following steps: inputting original audiovisual work material into an AI segmentation engine, segmenting the original audiovisual work material into a plurality of sub-blocks according to semantic correlation, and extracting hash values and metadata of the sub-blocks; dynamically constructing at least one logical sub-chain, and generating a root hash value of each logical sub-chain; binding the root hash value and the metadata to generate an NFT identifier; in response to a user query request, locating the NFT identifier corresponding to a target sub-block, searching a sub-chain hash path, comparing a hash deviation result of user-submitted material and recorded material on a blockchain, triggering an intelligent contract to perform a pre-defined copyright response action, updating a permission state in a decentralized identity system, and synchronizing to a blockchain network. The application realizes deep integration from content structure analysis to copyright automatic management, and improves the granularity, accuracy and execution efficiency of digital copyright protection.

The invention relates to a hidden trigger training method and system. By designing a trigger generation mechanism which strongly depends on an original image and an original label, the visual concealment of the trigger and the different targets of different poisoning sample triggers can be realized at the same time. Meanwhile, aiming at the problem that backdoor application is easy to accurately control during digital copyright protection, a new target-free attack strategy is provided, and a target-free backdoor trigger adding function is designed based on information entropy, so that the effect that a model embedded into the backdoor has randomness on poisoning image prediction can be realized, and the prediction accuracy is improved. Therefore, the invention provides a target-free backdoor watermark detection method based on query result statistics. Experimental results show that the method not only can generate the covert trigger on various data sets, but also can predict different images of the same category to a random category, thereby effectively reducing the problem that the backdoor watermark is easy to accurately control.

The present invention provides a method and automated system for identifying products or services related to digital content presented on a display device, enabling viewers to select and purchase them. [Solution] The method identifies products within digital content and checks existing product placement data. For products that do not contain such data, it employs other methodologies with the assistance of a third-party server to evaluate their identification and purchase feasibility. Viewers can specify which products to evaluate or the evaluation can be automated. Viewers initiate the purchase of the identified products via electronic devices such as display devices. The digital representation of the selected product (i.e., the real-world product) may be purchased or licensed for use within the digital realm.

The Bidding on an Asset in Progress (BAIP) system allows live, real-time bidding on a work (song, artwork, invention, story, concept, etc.) during its inception and evolution. The system captures video and / or audio of the work and / or artist during inception and creation and / or production of the work. The live performance in the auction can take place in a metaverse. Depending on how the artist / musician / creator sets up an auction, fans can bid on digital representations of versions and / or parts of the work, the recorded video and / or audio of the work being created, the physical work created, specific copyright rights, and supplemental assets associated with the work or the artist / musician / creator. Such a system enables bidding on any number of combinations of assets captured, created, or modified during one or more auctions. Fans can band together to bid on any asset and establish fractionalized ownership that is optionally governed through a DAO. After completion of the work and auction, ownership of the asset(s) is preferably transferred through NFTs and the winning bidder(s) receives the finished asset(s) (digital and / or physical).