532 results about "Content management" patented technology

The invention discloses a video content intelligent management method and system based on multi-modal analysis, and belongs to the field of video content management.The method comprises the steps that multi-modal features of video content are extracted; performing fine structure segmentation on the video content based on the multi-modal features, and segmenting the video into fine segments related to semantics; the fragments obtained after fine structure segmentation are subjected to tagging, and metadata is generated for each fragment; constructing a multi-modal semantic index of the video content based on the generated metadata; according to the method, a semantic retrieval function is provided by utilizing multi-modal semantic indexing, fine fragments required by a user are accurately recalled in combination with text label matching, measurement numerical value scoring, cross-modal vector retrieval and filtering based on a shot language and a shooting technology label, and the user queries and positions a specific time point or the fine fragments in a video through a natural language. According to the invention, the accuracy of video content analysis is improved, the user experience is optimized, and the operation complexity is reduced.

A data processing system implements receiving a call requesting a generative model to generate a semantic tree for a source content; constructing a first prompt including the source content and instructions to the model to analyze a semantic structure of the source content and to generate a semantic outline and content chunks of the source content, the semantic outline including one or more topics each connected with one or more of the content chunks, to compute one summary for each of the content chunks, to apply indices to reference each topic node of the semantic tree to one of the topics, and to apply indices to reference each leaf node of the semantic tree to one of the content chunks and the respective summary; providing the first prompt to the model and receiving the semantic tree of the source content; and storing the semantic tree in a database.

The invention provides a game cartoon character display method based on a virtual reality technology. The method comprises the following steps: acquiring three-dimensional model data of a game cartoon character in a target display area through a user interaction terminal; the virtual reality content management platform determines a dynamic rendering precision level according to the model data, and generates a real-time rendering strategy including a model patch reduction coefficient, a texture compression rate and a skeleton animation updating frequency in combination with terminal performance parameters; the strategy is sent to a virtual reality supervision platform and a user interaction terminal, and a virtual reality rendering engine platform is instructed to execute real-time rendering; and the virtual reality supervision platform monitors the frame rate fluctuation data of the head-mounted display device, calculates the scene rendering stability, sends a rendering optimization instruction if the scene rendering stability is lower than a threshold value, and adjusts the model data acquisition frequency and the video memory cleaning period to optimize the performance. The rendering efficiency and the system stability can be improved, and the hardware load and the frame rate fluctuation are reduced.

The invention discloses a file retrieval and management method fusing an AI large model and graph data, and belongs to the technical field of retrieval management, the retrieval and management method comprises the following specific steps: I, a user imports a multi-format file into a file retrieval and management system, and the system extracts characters and structured content through a file analysis module; iI, the file retrieval and management system gradually constructs a multi-level database based on the analyzed file content and metadata; iII, performing full-process management on the file from creation to archiving, and providing an intelligent tool to optimize a document processing process; according to the method, the automation and efficiency of file management can be greatly improved, a high-precision semantic search and sorting result is provided, complex association analysis and multi-dimensional query are supported, professional document translation requirements in an internationalized scene are met, document content management is optimized, and the knowledge precipitation capacity is improved.

The invention discloses an extensible content interactive display method and system based on streaming media playing, the extensible content interactive display method based on streaming media playing belongs to the field of streaming media, and the method comprises the following steps: S1, dynamically adjusting the resolution and code rate of content under different network conditions; dynamic self-adaptive stream transmission is realized; s2, directly acquiring data through the nearest edge node when the content is requested, and caching high-frequency interaction data at the edge node; s3, the user request is routed to the optimal node; s4, adopting a predictive buffering and preloading mechanism; s5, predicting user interaction behaviors by using a deep reinforcement learning algorithm; and S6, adopting H.265, and combining the characteristics of low delay and high reliability of the QUIC protocol to carry out transmission. The extensible content interactive display system based on streaming media playing comprises a user behavior analysis module, a content management and distribution module, an interactive prediction and recommendation module, a preloading and cache management module, a network transmission and optimization module and the like.

Systems and methods for transforming a captured content item are provided. In particular, a computing device may receive a capture request to capture a content item, in response to the capture request, capture the content item and provide the content item in a first user interface element of a content management tool, apply a generative transformation function to the content item to generate a transformed content item, write the transformed content item in a second user interface element of the content management tool, receive a paste request to paste the transformed content item at a requested location, and in response to the paste request, provide the transformed content item at the requested location.

The invention discloses an image-text content management method based on a React framework, and belongs to the field of React, and the method comprises the following steps: creating a project through create-react-app, installing a dragging function, an API request, a rich text editor and other dependencies, and building a Node. Js-based RESTful API and MongoDB database for storing image-text content and layout information. And creating text, picture and container components, supporting dynamic rendering and dragging functions, and updating page preview in real time through React state management. The rich text editor supports picture insertion, style modification and storage in a JSON format. And after the user drags or edits, the state is updated, the data is sent to the server through the API, and the back end analyzes and updates the database. When the page is loaded, the content is dynamically generated, the component is loaded as required, and the performance is improved by using a virtual rolling technology. And a test is compiled through Jest and React Testting Library, so that the correctness of the function is verified. The front end is deployed to Netlife, and the rear end service is deployed to AWS.

The invention relates to the technical field of knowledge graph and content management, in particular to an intelligent education content management method and system based on a knowledge graph, and the method comprises the steps: obtaining multi-modal education content data which comprises text data and audio data; based on the multi-modal education content data, executing multi-modal tensor decomposition to obtain unified feature representation; according to the unified feature representation, topological continuous coherence feature extraction is executed to obtain topological features; based on the topological features, quantum entanglement feature enhancement is executed, and enhanced features are obtained; executing non-exchangeable geometric feature fusion according to the enhanced features to obtain fusion features; based on the fusion features, chaotic dynamics knowledge extraction is executed, and extracted knowledge is obtained; according to the method, the extracted knowledge is constructed into the knowledge graph, different forms of education contents such as texts and audios are integrated through a multi-modal tensor decomposition technology, complementary information among different modals can be captured, and comprehensiveness and accuracy of knowledge representation are improved.

This disclosure relates to approaches for managing generative artificial intelligence content. Some aspects relate to managing and enforcing licensing conditions for various actors in generative artificial intelligence, such as content creators, model owners, and platform providers. Some aspects relate to lineage tracing, in which an asset is analyzed to determine what other assets it was based on and / or to determine which other assets were generated based on a given asset. Lineage tracing can be based on one or more of metadata analysis, hash analysis (such as perception hash analysis), or vector similarity. In some implementations, a vector embedding model is used to generate vector embeddings of assets, and the vector embeddings are compared to identify similar assets.

A data processing system implements receiving a call requesting a generative model to generate a semantic tree for a source content; constructing a first prompt including the source content and instructions to the model to analyze a semantic structure of the source content and to generate a semantic outline and content chunks of the source content, the semantic outline including one or more topics each connected with one or more of the content chunks, to compute one summary for each of the content chunks, to apply indices to reference each topic node of the semantic tree to one of the topics, and to apply indices to reference each leaf node of the semantic tree to one of the content chunks and the respective summary; providing the first prompt to the model and receiving the semantic tree of the source content; and storing the semantic tree in a database.

The invention discloses a film and television content label processing method and terminal based on a large model, and belongs to the technical field of artificial intelligence and film and television content processing, and the method comprises the steps: pre-integrating to form a multi-source film and television data set; performing fine adjustment on a plurality of specified artificial intelligence large models in advance; pre-deploying a task automatic triggering module and constructing a cue word engineering library; acquiring input film and television content, automatically selecting unrechecked content for the film and television content to trigger a task, calling corresponding cue words through the cue word engineering library, and respectively outputting error correction results of film and television content labels through each specified artificial intelligence large model after fine tuning; judging and correcting the error correction result of the output film and television content label by adopting a preset artificial intelligence model, and mapping the correction result to a label library; and after AI auditing is carried out, the identification recheck authentication state of the film and television content is updated. The accuracy, efficiency and diversity of film and television label processing are improved, and the requirements of scenes such as film and television content management, recommendation and analysis are met.

Systems and methods are provided herein for an advanced teleprompter with dynamic content management. The script management system (SMS) of this advanced teleprompter receives a transcript with consecutive sections of text for dynamic display at a client device and provides for dynamic display the consecutive sections of text at a first pace. After the SMS receives the transcript, the SMS ingests the prepared transcript and the given time frame for the speech, and then uses the transcript as an input for a large language model (LLM). Once the SMS detects speech from a speaker the SMS inputs the transcript and the text of the speech from the speaker into the LLM and modifies a section subsequent to the first section of text based on the output of the LLM that results from the inputs of the transcript and the text of the speech. The SMS then provides for dynamic display the modified section subsequent to the first section of text of the plurality of consecutive sections of text.

Methods and systems for content management are described. Live events and supplemental features associated therewith may be sent to viewers. A delta between the live event occurring and the live event being output to the viewers may be determined. Depending on the delta, the supplemental features may be authorized or unauthorized for presentation to the viewers.

The invention discloses a data content supervision system and method based on digital media, and belongs to the field of data content supervision, and the method comprises the steps: traversing propagation paths of digital contents among digital media platforms; generating a digital content propagation behavior label based on the digital content set and the propagation path; identifying feature data of the digital content, analyzing feature values of the feature data, and quantifying feature value differences; analyzing and evaluating the spreading degree based on the digital content spreading behavior; based on the characteristic value difference and the propagation degree, whether the digital content has a propagation risk during diffusion is judged; according to the method, the propagation path and the multi-dimensional feature data of the digital content are collected and analyzed, so that the propagation path of the content is tracked, and the features of the content are quantified; an early warning mechanism is designed based on the spreading degree and the characteristic value difference, potential abnormal spreading behaviors are effectively monitored and found in time, the content management efficiency is improved, the risk prevention capability is enhanced, and safe operation of a digital media platform is ensured.

Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

The invention relates to the technical field of industrial digital transformation and e-commerce, and particularly discloses a multi-industry fusion Internet service platform and method based on a data medium platform and a storage medium, and the platform comprises the data medium platform which is used for carrying out the unified management and analysis of the data of each industry; the operation planning center is responsible for marketing activity planning and content management of the platform; the AI center is used for collecting and preprocessing the data extracted by the platform and the data generated by the platform system, then constructing a vector database, and further training and optimizing the constructed intelligent recommendation model, the dynamic pricing model and the intelligent customer service model; the constructed intelligent customer service model, the intelligent recommendation model and the dynamic pricing model are used for intelligent marketing and intelligent customer service; a member center; a customer service center; a commodity service center; a transaction center; a personal center; and a management center.

An information integration system may include a set of integration services embodied on one or more server machines in a computing environment. The set of integration services may include connectors communicatively connected to disparate information systems. The connectors are configured for integrating data utilizing a common model comprising a content management interoperability services data model, common property definitions, and a common security model particularly defined for use by the set of integration services. Responsive to a user query to search disparate information systems or a subset thereof, an application may communicate metadata of interest contained in the user query to a search engine which locates, via a unified index, requested data from the disparate information systems or a subset thereof. The search engine returns search results referencing the requested data to the application which interprets the search results and displays a visualization thereof on a client device.

The invention relates to the technical field of Internet video content distribution and distribution, in particular to a micro and short play content distribution and distribution system. The system comprises a content management module, a user portrait module, a copyright protection module, a commercial realization module and a data analysis module, the content management module realizes efficient uploading, auditing, storage and intelligent distribution of a movie, and content retrieval and popularization efficiency is improved through accurate classification and tagging management; the user portrait module utilizes data preprocessing, feature extraction and clustering analysis to construct an accurate user model, and user experience is improved based on a personalized recommendation algorithm; the copyright protection module comprehensively guarantees content security through request verification, URL encryption, anti-theft link and a dynamic access control mechanism; the commercial realization module adopts various strategies to improve the platform profitability; and the data analysis module optimizes a content recommendation and distribution strategy through big data collection and mining, and improves the overall operation effect. According to the invention, high-quality experience is provided for the user while the rights and interests of the content creator are ensured.

An information integration system may include a set of integration services embodied on one or more server machines in a computing environment. The set of integration services may include connectors communicatively connected to disparate information systems. The connectors are configured for integrating data utilizing a common model comprising a content management interoperability services data model, common property definitions, and a common security model particularly defined for use by the set of integration services. Responsive to a user query to search disparate information systems or a subset thereof, an application may communicate metadata of interest contained in the user query to a search engine which locates, via a unified index, requested data from the disparate information systems or a subset thereof. The search engine returns search results referencing the requested data to the application which interprets the search results and displays a visualization thereof on a client device.

The invention provides a medical anthropomorphic dummy training system, and relates to the technical field of medical treatment. The medical dummy training system comprises a user interface layer and is characterized in that the user interface layer is connected with a training module layer, the training module layer is connected with a data management layer, and the data management layer is connected with a technical support layer; the user interface layer comprises a login / registration module, a user instrument panel and virtual character creation, the training module layer comprises a situation simulation module, a decision tree module, a collaborative task module and a case redisk module, and the data management layer comprises user data management, training content management and feedback and evaluation management. The technical support layer comprises a situation engine, a decision tree algorithm and a data analysis tool. According to the online training system, efficient, flexible and immersive medical training experience is provided for the user, and the clinical skill and decision level are comprehensively improved.

The invention discloses a personalized teaching method and system based on multi-dimensional learning style analysis, and relates to the technical field of teaching. The personalized teaching system based on multi-dimensional learning style analysis comprises a learning style analysis module, and the learning style analysis module is connected with a teaching content management module. According to the system, a personalized learning plan can be made according to the learning style and progress of students through a personalized learning path and an intelligent recommendation engine, learning is flexible and efficient, in addition, rich teaching resources such as videos, interactive courses and textbooks in the system enhance the diversity and interestingness of learning, and the learning efficiency is improved. The real-time feedback and multi-dimensional evaluation mechanism ensures continuous support in the learning process and helps students to adjust strategies in time to optimize the learning effect, the system also combines online and offline mixed teaching, provides wider learning choices, enhances interaction and communication opportunities between teachers and students, and improves the learning efficiency. Therefore, the teaching effect and the satisfaction degree of students are effectively improved.

Disclosed embodiments provide techniques for computerized moderation, authorship recording, and distribution of social media content. Moderator-supplied tags are associated with content and supplied to a machine learning system as training data. Using blockchain, authorship is authenticated and can be converted from anonymous to non-anonymous. Collaboration among authors on content is supported with authorship lists that can contain a mix of anonymous and non-anonymous authors. Contribution limits are established to determine royalty payments for sale and rent of content.

A system and method for media content management include creating, via a digital vault, a container file comprising media content submitted by a first user and content metadata; verifying, via the digital vault, a completeness of the content metadata associated with the media content in the container file; classifying, via the digital vault, the container file based on the completeness of the media content; capturing, via the digital vault, event metadata when a second user gains access to the container file, the event metadata comprising at least one of identification of the second user, an activation timestamp, a duration of access, portions of the container file accessed, and changes to the container file; and enabling a private communication channel between parties affiliated with the media content to permit messaging among the parties affiliated with the media content via the private communication channel.

An example for presenting educational content including converting a multimedia document into a text representation of the multimedia document, partitioning the text representation into multiple portions of text based on a text characteristic of the text representation; determining educational concepts associated with portions of text. Then, generating at least a first cluster and a second cluster where the first and second clusters include portions of text of the multiple portions of text, and each portion of respective text in the first cluster is associated with a first educational concept of the one or more educational concepts and each portion of respective text in the second cluster is associated with a second educational concept of the one or more educational concepts. From the clusters, generating a first educational content item based on the first cluster and a second educational content item based on the second cluster.

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.

A computer-implemented system and method for staged resource querying addresses limitations of traditional file systems, which provide a flexible, scalable framework for organizing, managing, and querying diverse digital resources across multiple providers. The method receives a query specifying a sequence of stage types, each defining processing and grouping of items. It executes operations to process input items through these stages, creating a dynamic graph structure of grouped output items. This includes taking items from a resource iterator, processing them through specified stages, and organizing results into groups. The method enables incremental processing of resources, allowing efficient handling of large datasets and complex queries. It provides mechanisms for propagating items through the stage graph, offering fine-grained control over resource processing and grouping at each stage. This approach enables powerful, flexible querying and organization of digital resources, addressing limitations of traditional file systems and content management solutions.

The invention discloses an extracorporeal membrane oxygenation VR training system, which comprises a virtual scene construction module, and is characterized in that the virtual scene construction module carries out modeling on an operating room environment and ECMO equipment based on modeling software; the VR virtual interaction operation module performs virtual scene interaction between the trainee and the virtual scene and the virtual device through the interaction device; the ECMO pre-flushing operation process module generates standard steps and specification requirements based on the construction of the virtual scene and the interaction information of the VR virtual interaction operation module; the multi-person cooperation module is used for distributing persons participating in training according to different roles and playing different persons in a virtual scene for cooperative training; the training content management module is used for managing the ECMO training content of trainees; organic combination of practical training and cyclic training can be achieved, the situation that current ECMO professional medical talents are in shortage is effectively improved, and then the treatment success rate and the medical service quality of critical patients are improved.

The invention discloses a multi-level two-state content management method and system based on an unreal engine, and the method comprises the steps: defining a level identification rule, employing a point separator to represent the father-son relationship between levels, dynamically generating tree-shaped nodes based on the level identification, and enabling each node to have corresponding node information, the node information comprises a hierarchical identification character string or a GameTag identification state provided by an unreal engine, an activation state of a current node, a global state mark of a child node and a child node reference list; and generating or matching nodes step by step by recursively analyzing a hierarchical identification character string or a GameTag identification state provided by an unreal engine to form a complete tree hierarchical structure. According to the method and the system, efficient management and dynamic expansion of multi-level double-state contents are realized, cross-project multiplexing is supported, and the method and the system are suitable for digital twin application development in a complex service scene.

The invention discloses a data processing method and system based on AIGC content, and the method comprises the steps: obtaining the content generated through AIGC, and distributing a unique identifier for the content; the content is subjected to metadata description, metadata of the content is generated, and the metadata comprises content types, generator IDs, generation time, content abstracts and content quality indexes; carrying out fragmentation processing on the content, and encrypting each piece of processed fragmented content to obtain each encrypted content block; and for each encrypted content block, forming an encrypted storage block by the encrypted content block, the unique identifier and the metadata, storing the encrypted storage block in a block chain, and dynamically adjusting the storage position of the encrypted storage block. By utilizing the embodiment of the invention, the efficiency and security of content management can be improved by means of unique identifier distribution, metadata description, encrypted storage, dynamic block chain management and the like of the AIGC generation content.