36 results about "Digital rights" patented technology

A system and method for automated defective data record resolution is disclosed. The method is performed by a remote digital claim remediation service operating within a distributed network of computers. The method includes receiving adverse digital claim data comprising a plurality of data fields, where at least one data field contributes to an adverse action against a target digital claim. A feature extraction model processes the claim data to extract defect feature data. A machine learning model then computes defect inferences, identifying likely defect types and associated confidence values. The method further evaluates these inferences against predefined routing criteria, routing the claim data either to a remediation or disposal queue. For remediable claims, a machine learning model generates remediation inferences, which are applied to adapt and correct the claim. The defect-free claim is then resubmitted in real-time or near real-time, accelerating claim processing and enhancing system efficiency.

The embodiment of the invention provides a user risk identification method and device, electronic equipment and a storage medium, and relates to the technical field of computers. According to the method, multi-source time series data are fused, local space correlation characteristics of user behaviors are extracted by using a convolutional neural network in sequence, a long-term and short-term memory network captures a long-range time dependency relationship of a behavior sequence, a Transformer encoder mines deep correlation characteristics among key behavior segments, and risk decision is carried out by integrating the three characteristics. According to the method, multi-dimensional collaborative recognition of a complex and hidden risk mode in digital right operation is achieved, the accuracy and robustness of risk recognition are improved, the false alarm rate and the missing report rate are reduced, the limitation of a traditional risk control method or a single model in space-time-semantic joint modeling is overcome, and the method has higher generalization ability and practical application value.

In an example, processing circuitry may receive a request from a user to produce an item represented by data in a N physical form and an indication of a digital right associated with the item. From the content of the digital right, it may be determined if the user has permission to produce the item in physical form. When the user has permission to produce the item, an apparatus may be instructed to produce the item in physical form.

Aspects of the technology disclosed herein related to a distributed architecture for securely delivering AI models and / or training data sets to client devices for local use. The distributed includes a licensing server that controls access to and decryption of the models. The licensing server controls the distribution of licensing packages for the different models delivered by the distribution server. The client device transmits a license request to the licensing server. The licensing request may include device-level details about the client device itself, and such details may be provided in a secure, trusted manner, such as through a hardware root of trust (HROT) of the client device. If the details in the license request satisfy the security requirements for the model, a license package for the model is delivered to the client device. The license package includes a license for the model and a decryption key for the model.

Methods and apparatus for secure data digital rights processing, distribution, and monetization through the use of Smart Contracts as input to a machine learning module (MLM) to manage and enforce digital rights across multiple ecosystems. One embodiment of the invention includes a digital data rights server configured to communicate with a distributed ledger technology (DLT) or a centralized database (DB). In addition, a Smart Contract layer may integrate on top of the DB API and be responsible for the sole control of the owner's digital data rights. The Smart Contract layer is configured to track party's privy to the data, the legal rights and obligations of such parties, the value of the digital rights data, and the automatic provisioning of digital rights data based on the rules set in advance by the digital rights data owner as digital rights data moves to the next generation of digital rights data subscriber.

The invention provides a digital rights and interests circulation method, a storage medium and a computer program product, personal digital rights and interests of a user are stored in a super SIM card, when the user initiates circulation, a circulation request is initiated after super SIM authentication is passed, a device is informed to perform secondary confirmation of the user through super authentication, and the user experience is improved. Whether digital rights are received or not is given to the user, and the user can autonomously grasp the right to use the rights and interests data.

The invention discloses a multi-source data verification system and method based on physical mechanism constraint and a medium, and belongs to the technical field of industrial internet and block chains. The system collects multi-source heterogeneous data of a target object and forms a standardized data stream; a preset physical mechanism model (such as a heat conduction or energy conservation model) is utilized, a theoretical value of the other part of data is derived from part of data, and forged data violating natural laws are eliminated through residual analysis; for the valid data passing the verification, extracting time sequence characteristics in a sliding time window, constructing a multi-dimensional state vector, and generating a state quality index; and the block chain anchoring module links the index abstract, and dynamically updates the state field of the index abstract through the smart contract on the premise of keeping the unique identifier of the digital rights and interests voucher unchanged. According to the method, physical rule constraints are introduced, so that the authenticity of source data is effectively improved, and dynamic credible mapping from a physical state to on-chain digital assets is realized.

The application discloses a digital rights business data statistical analysis and visualization system, aiming at solving the problems of strong heterogeneity of multi-source rights data, difficulty in capturing evolution law and single display structure. The system first converts data streams of different sources into a uniform format of rights state vectors through a digital rights heterogeneous mapping module. Then, the rights evolution tracking module constructs a life cycle trajectory and marks the transition point. The multi-dimensional aggregation analysis module calculates the rights concentration in the time window according to the formula and generates a hierarchical aggregation index. The asymmetric visualization rendering module generates a topological object based on the constraint condition and breaks the geometric symmetry. In addition, the system has built-in abnormality suppression and irreversible transformation mechanism to ensure the safety of data flow. Through the closed processing of the whole link, the application realizes the accurate revelation of the deep law of rights business and effectively avoids the risk of original data leakage.

The invention relates to the technical field of big data and artificial intelligence, and particularly discloses a global digital rights intelligent configuration and distribution method based on multi-source data fusion. The method comprises the following steps: firstly, collecting user global multi-source heterogeneous data through a distributed network, extracting multi-modal features by using space-time alignment and a deep neural network, and constructing a user high-dimensional feature vector; then, inputting the feature vectors into a reinforcement learning model, and intelligently matching an optimal right configuration scheme from a right library through a multi-objective optimization function; thirdly, realizing cross-platform synchronous distribution according to the terminal state and the geofence by using a scene awareness routing algorithm; and finally, on the basis of a federated learning mechanism, realizing online iteration of the model by utilizing full-life-cycle feedback data. Through deep interleaving and intelligent decision making of multi-source data, accurate configuration and non-perception of digital rights and interests are achieved, the rights and interests cancel-after-verification rate and the user experience are improved, meanwhile, the user privacy is effectively protected, and the self-evolution ability is achieved.

This invention discloses a multi-terminal user behavior data collection and digital rights precious metal exchange management system, relating to the fields of data management and digital rights technology. The system includes a data collection module, a rights generation module, and an exchange management module. The data collection module supports multiple non-fixed terminals such as mobile terminals, in-vehicle smart devices, and smart home terminals, collecting user behavior data in specified scenarios. The rights generation module generates globally unified digital rights based on the behavior data. These rights are prohibited from being redeemed, transferred, or traded overseas and have no cash or securities attributes. The exchange management module only supports users entering China and, after on-site identity verification, exchanging physical precious metals at designated offline locations. This invention achieves multi-terminal, non-fixed-adaptation data collection, strictly defines cross-border rights boundaries, completes the entire process of review and physical delivery domestically, eliminates cross-border fund and precious metal transfers, and has strong compliance and universality, making it widely applicable to various user-participatory scenarios.

A method and associated system for matching digital work metadata and delivering the digital work metadata to one or more digital service providers includes modifying one or more digital work metadata files, modifying the one or more digital work metadata files includes removing non-critical data or segmented wrong data, or performing language translation; the one or more digital work metadata files are reformatted so as to be compatible with AI matching operation based on a transformer model; performing a chunk grouping operation on the one or more digital work metadata files, in which data associated with the one or more digital work metadata files is grouped into chunks and analyzed to obtain one or more pairs of data records; executing the AI matching operation based on the transformer model to determine whether each pair in the one or more pairs of data records comprises a matched pair of the data records; and transmitting the output data from the artificial intelligence matching operation based on the transformer model to the one or more digital service providers.

The application belongs to the field of agricultural information technology and big data processing technology, and relates to a dynamic pricing and tracing method and system for agricultural products by integrating crop growth mechanism and multi-dimensional space-time data. The method improves the authenticity and credibility of the tracing data by collecting multi-source heterogeneous data, combining the data organization architecture constructed by space-time index and data completion processing. The method generates a unique full-link tracing identifier as the index core to construct a digital archive of the full life cycle of agricultural products, establishes a cross-node and cross-system data correlation architecture, and realizes automatic and accurate correlation of full-link data and construction of complete evidence chain. The method extracts quality key features from the digital archive and predicts the quality status through an algorithm model, combines market, supply and demand, and credit data to construct a multi-factor pricing model, converts environmental data into quantifiable quality indicators and scientific dynamic guidance prices, solves the problems of lack of quality quantization and reasonable pricing mechanism in the prior art, and realizes digital rights protection of agricultural assets.

Aspects of the technology disclosed herein related to a distributed architecture for securely delivering AI models and / or training data sets to client devices for local use. The distributed includes a licensing server that controls access to and decryption of the models. The licensing server controls the distribution of licensing packages for the different models delivered by the distribution server. The client device transmits a license request to the licensing server. The licensing request may include device-level details about the client device itself, and such details may be provided in a secure, trusted manner, such as through a hardware root of trust (HROT) of the client device. If the details in the license request satisfy the security requirements for the model, a license package for the model is delivered to the client device. The license package includes a license for the model and a decryption key for the model.

A system to detect an infringing audio composition is disclosed. The system is configured to receive an audio file from a user; prepare track samples based on the audio file to compare with audio files stored with a digital rights repository; determine an original audio recording from the digital rights repository; prepare an acapella version of the original audio recording and / or an instrumental version based on the original audio recording; process, by iteratively varying a pitch, a tempo and / or a key of, the versions to create a processed iteration of each version; automatically compare the processed iterations of the audio files stored with a digital rights repository; determine a match between the processed iterations and the audio files stored with the digital rights repository; and determine a digital rights action to take based on the match between the processed iteration of each of the versions.

This invention provides a blockchain-based digital copyright storage method and apparatus. The method includes constructing a digital copyright consortium blockchain and creating unspent digital copyright assets owned by users using an unspent transaction output model. The consortium blockchain calculates the similarity of target data provided by users, generates corresponding digital copyrights, sends them to users for signature, sends the signed digital copyrights to full nodes to create outputs, places them in coinbase transactions, packages the transactions into blocks, and sends them to the consortium blockchain network. Users view target copyrights and create transactions, and full nodes verify the legality of transactions and send them to the blockchain network to reach consensus. Compared with related technologies, the blockchain-based digital copyright storage method and apparatus provided by this invention improves the processing efficiency of copyright transactions and increases the effective proportion of copyright data stored in the blockchain.

This invention discloses a dual-code fusion full-domain rights confirmation and ubiquitous media application system and method based on AI multi-level rotation parsing, involving the fields of AI IoT and digital rights confirmation technology. The system includes modules such as AI visual recognition, AI intelligent scheduling, dual-code fusion recognition, AI reasoning parsing, multi-level rotation parsing, cross-level reverse tracing, cross-platform bridging, conditional ghost jump, dark media ID rights confirmation, and ubiquitous media advertising operation. By constructing a dual-code fusion system of visible array QR codes and invisible physical identifiers, combined with AI, it achieves incomplete identification with ≤30% damage, dynamic rotational progressive parsing, cross-level root node tracing, and cross-platform unified adaptation jumps. It also generates a unique dark media ID based on cryptographic hashing and stores it on the blockchain, completing full-domain rights confirmation and anti-counterfeiting traceability for goods. Simultaneously, relying on a conditional content distribution mechanism, it transforms physical goods into independent media ports, realizing full-domain traffic redirection and advertising operation. This invention features a high level of anti-counterfeiting, strong robustness across scenarios, and high cross-platform compatibility. It can be engineered and implemented, and is applicable to all categories of commodity circulation scenarios. While enhancing anti-counterfeiting capabilities, it realizes the commercial value of mediating everything, and is compliant throughout the process with no financial or cryptocurrency-related risks.

The invention discloses a digital copyright management and learning resource regulation and control system based on reinforcement learning, and the system comprises a data collection association module which is used for outputting an original time sequence record; the track construction module is used for cleaning the original time sequence record, aligning and segmenting the session, and outputting an offline track data set; the risk generation module is used for generating a risk cost sequence and a threshold table; the audit reconstruction verification module is used for outputting a verified non-discount accumulated risk cost prediction value; the budget arrangement module is used for generating a constraint condition vector and a compliance budget threshold set; the joint action generation module is used for generating a joint action packet generation rule by taking the offline trajectory data set as a sample and combining the constraint condition vector; and the online execution write-back module is used for regulating and controlling the access supply of the learning resources, synchronously controlling the digital copyright management strategy and writing back an execution result. According to the invention, the management of the digital copyright strategy and the regulation and control of related learning resources are realized.

Disclosed in the present invention is a method for issuing digital collectibles and verifying and cancelling associated rights. The method comprises: binding a digital collectible to rights by means of a digital rights smart contract, and performing rights verification and rights exercise after a user purchases the digital collectible, wherein the former comprises: initializing metadata of the digital collectible, establishing basic information and attributes thereof, assigning a unique digital identity thereto, creating a digital rights smart contract, binding the ownership and real rights of the digital collectible to the digital collectible, performing compliance and security verification, and deploying the digital collectible and the real rights to a blockchain network; and the latter comprises: a digital rights platform first performing rights verification on the behavior of the user purchasing the digital collectible; the digital rights platform issuing the rights; by means of the digital rights smart contract, mapping the rights obtained by the user, and recording same on a blockchain; after the user exercises the rights, the digital rights platform performing rights verification and cancellation; and after the rights verification and cancellation are completed, updating the status of the rights in real time, and calling an interface to synchronously update same to the blockchain network.

The invention belongs to the technical field of digital rights and interests circulation, and particularly relates to a method and system for digital member rights and interests circulation transactions, and the method comprises the following steps: 1, receiving and storing digital member rights and interests information submitted by a user through an intelligent contract deployed on a block chain network, the right information at least comprises a right identifier, a category, a residual value and a state; 2, receiving a right and interest transfer transaction request sent by a user, wherein the request at least comprises a transaction amount range, a publisher block chain account address and a right and interest identifier; according to the invention, each digital member right and interest is converted into an independent and uniquely identifiable digital asset object through an intelligent contract, and the whole process of establishment, right confirmation, transaction and settlement of the asset is completed in a continuous and atomic block chain operation. This achieves non-tampering, real-time synchronization and self-verification of rights and interests ownership changes and transaction records.

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 application provides a kind of digital rights resources signature verification method and system based on block chain, it is related to the field of block chain technology.The method collects the signature of each specific permission node and the signature of each double permission node by signature verifier, if the number of specific permission node signature is equal to, then the verifier collects the signature of each ordinary permission node;If the sum of the number of signatures of double permission node and ordinary permission node is greater than or equal to t, then signature verification is carried out based on the preset elliptic curve public key cryptography algorithm, the allocation purpose of specific permission node is realized, the participants are signed with specific permission and ordinary permission qualification respectively, signature verification is carried out when the demand condition of specific permission is met, which greatly increases the signature verification efficiency of specific permission in the process of digital rights resources transaction, reduces the possibility of collusion and other destruction of consensus existence, thereby ensuring the validity of digital rights resources transaction in block chain signature verification.

This invention belongs to the field of data assetization and digital rights trading technology, specifically involving a data asset revenue rights management and trading system and method based on value codes. This invention aims to utilize technologies such as digital coding, smart contracts, and blockchain to standardize, refine, and reliably trade the revenue rights of data assets, achieving full lifecycle control and market-based circulation of data asset revenue rights, and providing a systematic solution for building a compliant, efficient, and secure data element market. This invention uses value codes as a measure of human value, constructing a standardized value measurement benchmark in the digital economy space. The system achieves precise normalization of revenue rights by introducing a log-normal distribution operator to map the potential revenue expectation value of data assets to energy levels; simultaneously, it integrates the Milgrom information value equation, dynamically determining the revenue allocation weight by quantifying the marginal improvement of the expected utility of value code data for business decisions; finally, it uses the Nash algorithm to solve the Pareto optimal strategy set for multi-party transaction games, ensuring the pricing fairness and system resistance to manipulation during the data element circulation process.

Systems and methods are disclosed herein for enabling multiple users' digital rights to be applied as needed to access media while those users are present to consume media. In particular, a media guidance application may receive a selection of a media asset and determine that the user equipment device does not allow access to the media asset. In response, the media guidance application may identify all the users consuming content from that user equipment device and retrieve digital rights for each user. The media guidance application may compare the digital rights of each user with digital rights required to access the media asset. The media guidance application may, based on the comparison, identify a set of digital rights (e.g., for another user present) that enable access to the media asset, and use those digital rights to access the media asset for consumption.

A processing system employs system hardware to secure different DRM channels. The processing system employs an architecture including a root-of-trust (RoT) processor that assigns different keyspaces to different DRM channels. The processing system further includes one or more security gaskets that employ the assigned keyspaces to isolate the different DRM channels from each other. The security gasket receives a transaction targeting a DRM pipeline and allows the transaction to proceed based on a keyspace identified by the transaction and a keyspace assigned to the DRM.

The invention provides a digital right processing method, system and device and a computer program product, which are used for authenticating the identity of a right and interested person through a super user identity identification card and ensuring the safety of operation. The digital rights and interests are stored in the super user identity identification card, so that the digital rights and interests data can be stored at the user side, the user can autonomously master the digital rights and interests data, and the participation degree of the user in controlling the digital rights and interests data is improved. Meanwhile, by means of distributed storage and tamper-resistant characteristics of the block chain, traditional rights and interests are stored on the chain, and by means of the smart contract, the traditional rights and interests are increased to on-chain digital rights and interests, so that the credibility and security of the operation process are ensured.

The application discloses a digital right automated negotiation system and method based on embodied intelligent agent, and relates to the technical field of digital right management and intelligent negotiation.The multi-modal perception module of the embodied intelligent agent collects visual expressions, voice emotions, public information and economic shopping data of negotiation participants, performs cross-modal feature fusion and context understanding, generates a structured consumer portrait and a real-time emotion state vector;based on the context understanding result, combined with a reinforcement learning algorithm and a historical memory library, an adaptive negotiation strategy is dynamically generated to drive the agent to perform negotiation actions such as offering, bargaining and condition changing;after the negotiation is reached, an intelligent contract is automatically generated to call a digital right cancellation system and a payment system to complete right delivery and fund settlement, while continuously monitoring the execution state and automatically compensating for abnormalities and self-healing.The deep collaboration of multi-modal perception and decision-making, the closed-loop integration of negotiation and execution significantly improve the intelligent level, success rate and user experience of digital right negotiation, and ensure the efficient, accurate and safe operation of transactions.

Secure Real Time Communications Service (SRTCS) for audio and video streaming communications and content sharing that securely connects multiple users using a “push-button” WebRTC chat app connection over a Peer-to-Peer (P2P) network. SRTCS uniquely combines advanced security technologies to provide user based permissions control when communicating and sharing rich media content with other users including End-to-End Encryption (E2EE), Hash Technology (DHT), and Digital Rights Protection (DRM). SRTCS has also designed a unique cloud based streamed video storage and sharing platform service for consumers and business video storage and sharing applications.

A data protection method for digital rights, an apparatus, a device, and a storage medium, relating to the technical field of digital content protection. The data protection method for digital rights comprises: acquiring digital rights data, wherein the digital rights data comprises image data and / or video data; encrypting the image data to obtain image encrypted data, and encrypting the video data to obtain video encrypted data; generating an image link according to a received image viewing request of a client for the image data and on the basis of the image encrypted data, and sending the image link to the client, so that the client decrypts the image encrypted data, creates a control for preventing screen capture and screen recording operations of an operating system, and displays the decrypted image data by means of the control; and on the basis of a received video viewing request of the client for the video data, sending to the client playback parameters corresponding to the video encrypted data, so that the client views, on the basis of the playback parameters, the video data by means of accessing a target player, wherein the target player supports the playback of a digital rights management video, and prevents screen capture and screen recording operations of the operating system.

Methods and apparatus for secure data digital rights processing, distribution, and monetization through the use of Smart Contracts as input to a machine learning module (MLM) to manage and enforce digital rights across multiple ecosystems. One embodiment of the invention includes a digital data rights server configured to communicate with a distributed ledger technology (DLT) or a centralized database (DB). In addition, a Smart Contract layer may integrate on top of the DB API and be responsible for the sole control of the owner's digital data rights. The Smart Contract layer is configured to track party's privy to the data, the legal rights and obligations of such parties, the value of the digital rights data, and the automatic provisioning of digital rights data based on the rules set in advance by the digital rights data owner as digital rights data moves to the next generation of digital rights data subscriber.