103 results about "Digital rights" patented technology

The invention discloses a method for issuing digital collections and cancelling associated rights after verification. The method comprises the steps of binding the digital collections and rights through a digital right smart contract and confirming the right after a user purchases the digital collections. The method comprises the following steps: initializing metadata of a digital collection, determining basic information and attributes of the metadata, and endowing the metadata with a unique digital identity; creating a digital right intelligent contract, and binding the ownership and the real right of the digital collection with the digital collection; performing compliance and security auditing; deploying the digital collections and real rights and interests to a block chain network; the method comprises the following steps: the digital right platform firstly confirms the right of the behavior of purchasing the digital collection by the user; the digital right and interest platform puts rights and interests, maps the rights and interests obtained by the user through a digital right and interest smart contract and records the rights and interests on a block chain; after the user carries out rights and interests, the digital rights and interests platform cancels the rights and interests after verification; and after verification is completed, the right state is updated in real time, and meanwhile, an interface is called to synchronously update to the block chain network.

Described are systems and methods for generating protected accessible HyperText Markup Language (“HTML”), the method including receiving a request to load media content associated with a first HTML element, upon receiving the request to load the content element, generating video data associated with the content element, generating one or more digital rights management-protected files based on the video data associated with the content element, generating a second HTML element based on the one or more DRM-protected files, and causing to output, via a graphical user interface, the digital rights management-protected video data of the second HTML element.

The invention relates to the field of block chain management, in particular to a block chain-based vehicle owner digital right management method and system. The method comprises the following steps: identifying all vehicle owner registration information in a platform; performing intelligent contract editing on the vehicle owner registration information, performing distributed block chain architecture design, and constructing a vehicle owner information distributed block chain; performing one-by-one vehicle owner digital right identification on the vehicle owner registration information, and generating digital right block chain registration data of each vehicle owner; according to the digital right block chain registration data of each vehicle owner, the vehicle owner information distributed block chain carries out dynamic digital right mapping and digital right contract optimization so as to generate a digital right optimization block chain; and according to the real-time vehicle owner digital right use log, performing dynamic right use update on the digital right optimization block chain to obtain a dynamically updated digital right block chain. According to the invention, efficient, safe and personalized adaptive digital rights and interests management is realized.

The invention relates to the technical field of information, and discloses a digital right near-field real-time cancel-after-verification system based on edge computing, which comprises a space-time coding module used for generating a unique cancel-after-verification identifier according to the geographic position and time of a user, and transmitting the identifier to a dynamic weight module; a dynamic weight module which is connected with the space-time coding module, generates a right and interest distribution strategy based on a federated learning model and an optimization algorithm, and outputs the optimized strategy to a block chain fragmentation module; the block chain fragment module is connected with the dynamic weight module, dynamically divides a consensus network according to the real-time cancel-after-verification density, executes distributed verification in fragments and generates a cancel-after-verification authorization instruction; and the cancel-after-verification execution module is used for distributing cancel-after-verification tasks according to the authorization instruction and synchronously updating the multi-node inventory state. By adopting the technical scheme of gridding coordinate mapping, time window division and nonlinear hash of the space-time coding module, the technical effect that the verification identifier is unpredictable and uniquely bound is achieved.

A method may include receiving, using an application server, formatting information that is associated with sensitive information, from a computing device. The method may include generating, using the application server and based on the formatting information, a video including a single image frame. The single image frame may represent the sensitive information, and the video may be associated with a digital rights management technology. The method may further include transmitting, using the application server, the video to the computing device.

Embodiments provide a method for applying Digital Rights Management (DRM) protection to media such as compressed audio and video that is compatible with Real-time Transport Protocol (RTP) and conventional media processing pipelines without modification. Media is encrypted according to the Common Encryption Specification (ISO / IEC 23001-7) and frame-specific encryption metadata i.e. auxiliary encryption information is appended to the media frame. The encrypted media is transmitted in real-time over a network. On the receiving side, the encrypted media as well as auxiliary encryption information are extracted and forwarded to a content decryption module (CDM). The CDM uses the frame-specific encryption metadata to generate CencSampleAuxiliaryDataFormat and ISOBMFF boxes necessary for DRM license acquisition, acquires a DRM license with the decryption keys to decrypt and render media frames in a protected way.

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.

Described is a system for providing usage rights to a real world property user by receiving a first real world property ownership certificate from an owner, identifying a value of the real world property, and generating a plurality of digital rights tokens corresponding to the value of the real world property. The system receives an indication of a remittance from the real world property user utilizing the real world property, determines a number of digital rights tokens corresponding to the remittance, transfers the number of digital rights tokens corresponding to the remittance from the digital rights token storage of the real world property owner to a digital rights token storage of the real world property user, and enables usage of the real world property for the real world property user based on the transfer of the number of digital rights tokens.

Described are systems and methods for obfuscating an accessibility element using digital rights management (“DRM”) protections, including determining, via an application server, the accessibility element is associated with a first content element, receiving, via a first graphical user interface (“GUI”), at least one user input associated with the accessibility element or the first content element, wherein the at least one user input includes at least one of hovering, selecting, or clicking, modifying, via the application server, a HyperText Markup Language (“HTML”) associated with the first content element to remove the accessibility element, and causing to output, via the first GUI, the modified first content element such that the accessibility element is no longer caused to be output.

The present invention provides a secure system and method for sharing medical information among authorized medical professionals. The system ensures that only verified medical professionals can access the platform by requiring a medical license and utilizing facial recognition technology for authentication. The platform includes a content management component for uploading and accessing medical information, a digital rights manager to prevent unauthorized copying or removal of content, and a messaging system for secure communication between users. The system is designed to be HIPAA-compliant and includes features such as patient consent for video content, native voice triggers for camera movements during surgical procedures, and a customizable chat system for enhanced user experience. The invention aims to streamline the verification process, enhance security, and promote patient safety while facilitating the sharing of medical knowledge and techniques.

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 method may include receiving, using a first application programming interface (API) endpoint of an API system, an API request from a computing device. The API request may represent a request for a video that is associated with a digital rights management technology and that includes an image frame representing a content element. The method may include fetching, using the first API endpoint, the content element. The method may include forming, using the API system, a JavaScript Object Notation (JSON) object including the content element and formatting information associated with the content element. The method may further include transmitting, using a second API endpoint of the API system, the JSON object to an application server configured to generate the video based on the JSON object.

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.

A method may include receiving, using a browser module of a computing device, a video from an application server. The video may be associated with a content element and a digital rights management technology. The method may include forming, using the browser module, an HTML element including the video, and playing, using a video player of the computing device, the video of the HTML element on a display screen associated with the computing device. The method may include receiving, using the computing device, input data, and transmitting, using the computing device, the input data to the application server. The method may include receiving, using the computing device, a determination that the input data represents unexpected input data, from the application server. The method may include, in response to receiving the determination, causing, using the video player, the video of the HTML element to stop playing on the display screen.

Host services in an artificial intelligence (AI) infrastructure supporting a visual creation interface of multi-node AI based topologies in segments and partitions to service various overall AI objectives across multiple host, creator, user and third party devices and systems. Training of AI nodes, testing, automatic topology assessment and adjustment is provided. Secure interaction between topology partitions supports privacy concerns. Influencers and celebrities provide personal data to AI topologies to automatically generate topology node configurations, training data and datasets that can be swapped into any topology for those addressing host's digital rights management compensation and restrictions. Host services provide platforms for sharing created AI topologies, AI generations based on such AI topologies, and celebrity and influencer elements thereof. User device circuity bisection supports secure topology operations and communications with other topology partitions, and allows for compartmentalization of privacy concerns. AI generated output can be generally produced can be prepared post generation or output with such form which supports personalization through population with personal data elements and types. Drag and drop visually topology building is enhances with software interfacing through software development kit usage. Host services screens uploaded data to identify third party ownership issues and provides a service for gathering authorizations, allocating associated sharing, and applying digital rights restrictions.

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.

A method may include receiving, using a browser module of a computing device, a first webpage, wherein the first webpage is associated with a content element. The method may include receiving, using the browser module, a video, wherein the video is associated with the content element and a digital rights management technology. The method may include forming, using the browser module, an HTML element including the video. The method may include outputting, using the browser module, at least a portion of the first webpage to a display screen. The method may include outputting, using an operating system of the computing device, the video of the HTML element to the display screen, wherein the video is configured to be overlaid on the at least a portion of the first webpage on the display screen. The method may include storing, using a storage component of the computing device, the outputted video.

The invention provides a digital right automatic refund method, device and equipment, a medium and a program product, and belongs to the technical field of digital information management, and the method comprises the steps: obtaining a to-be-refund digital right main order at regular time; calculating a first total refund amount of the digital right owner order; on the basis of the first total refund amount, calculating the refund amount of each target payment channel according to the priority of each payment channel; and based on the to-be-refund amount of each target payment channel, calling a refund interface of each target payment channel to execute refund. According to the digital right automatic refund method provided by the invention, by triggering the timed refund task, timed automatic refund can be realized when digital right issuing fails, manual intervention is not needed, the refund efficiency is improved, multiple refund channels are supported for timed automatic refund, flexible refund is realized, the refund freedom degree is improved, and the user experience is improved. And the expandability of the refund channel is improved.

A novel system and method are disclosed for associating computer-implemented features, functionalities, and / or digital asset rights with the consumption of consumable items using blockchain-based crypto-tokens. A new model of access authorization and licensing is achieved by linking the expenditure of crypto token transactions to the calculated expenditure of consumable items using the special features and functions of technology-enabled computer-implemented processes and methods performing these expenditures and controlling the access authorization and licensing as a function of blockchain immutable Smart Contract transactions. In addition, linking these same expenditures with the expenditure of digital asset rights, such as artwork printing, extends the value participation model to include manufacturers of consumable items, software developers, and digital rights creators such as artists.

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 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 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 present invention discloses a blockchain-based digital rights encryption management method and system, relating to the technical field of digital rights security management. The present invention generates a unique identifier for digital asset information using a hash algorithm, utilizes asymmetric encryption to ensure data privacy, and achieves asset uniqueness identification and information encryption protection. The encrypted asset information is stored on the blockchain through a smart contract, and a consensus algorithm is used for node verification. The immutability, authenticity, and transparency of the asset information are analyzed to ensure the authenticity of the digital assets and the security and reliability of their storage. During digital asset transactions or transfers, the legitimacy of the ownership transfer is verified through a consensus mechanism to ensure that the transaction meets preset compliance standards. The asset status on the blockchain is updated in real time, improving the security and compliance of the transaction. The blockchain's traceability mechanism tracks and records the asset's ownership history and transaction path, achieving traceability and transparency in the asset transfer process.

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.

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).