11 results about "Multimedia document" patented technology

The invention provides a private deployment-oriented multi-modal AI knowledge base construction system. The private deployment-oriented multi-modal AI knowledge base construction system comprises a knowledge storage module, an intelligent document loading module, a document partitioning engine module, a data enhancement engine module, a multi-language semantic vector alignment module and a private deployment module, the knowledge storage module comprises a knowledge authority management sub-module and a knowledge source management sub-module, the knowledge authority management sub-module is used for managing and storing knowledge from different sources, and the knowledge source management sub-module is used for managing electronic documents and multimedia documents; according to the method, intelligent identification, partitioning, vectorization and source file storage can be carried out on different types of electronic files, knowledge graph construction is carried out for specific fields, semantic relevance between texts and topics and key entities is fully considered, the method has wider applicability, higher robustness and controllability, the data leakage risk is effectively reduced, and the method is suitable for popularization and application. The method is suitable for enterprise sensitive data protection and personal user elastic computing power requirements.

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 invention provides a literature report generation evaluation method and system based on a large model, and the method comprises the steps: obtaining a literature image data set containing non-text elements, and the non-text elements comprise chart elements and formula symbols; the method comprises the following steps: separating different spectral band data of a literature image data set to generate multi-channel spectral data containing color distribution characteristics and material reflection characteristics, and dividing a high-sensitivity band and a low-sensitivity band of the multi-channel spectral data according to a spectral sensitivity threshold, calculating spectral characteristic difference quantity between the two wave bands and executing bit width distribution to generate spatial continuity coded data and frequency domain distribution coded data; analyzing the two types of coded data through a large model to generate a structured text description, and verifying the information coverage degree of the description relative to the literature image data set to generate an evaluation result; according to the method, the recognition precision and the structural description capability of the non-text elements in the document image are improved, and the requirements of automatic analysis and evaluation of high-quality multimedia documents are met.

The invention relates to a method for displaying a multimedia document, the method comprising the steps of: generating an image (IM) made up of pixels from a displayable or displayed version of a multimedia document (MD); determining an average (MCL) or dominant color of the image; searching in a color table (CCT) for a color closest to the average or dominant color; determining a first power consumption indicator (CS) for displaying the multimedia document as a function of the power consumption associated in the table with the closest color found; and displaying the first power consumption indicator. Figure 2

Provided are a data processing method and device, a terminal, and a storage medium. The data processing method provided includes: acquiring target objects and attribute information thereof in response to a first instruction; and sorting the target objects and / or the subsidiary information based on the attribute information to obtain a sorting result, wherein the target objects include objects added to or updated by a terminal after the first instruction is triggered. According to the data processing method provided by the disclosure, by acquiring target objects added to or updated by a terminal and respective attribute information corresponding thereto and sorting them based on the attribute information, files or data of different kinds and different sources acquired by the terminal within a specific period of time can be arranged together for the convenience of users to organize them, thereby improving the data processing efficiency.

The invention discloses a multimedia event extraction system and method based on large model agent cooperation, and belongs to the technical field of artificial intelligence application and multimedia event extraction. The system comprises an initial multimedia event hypergraph construction module, a multimedia event hypergraph iteration evolution module and a structured event set extraction module. The method comprises the following steps of: constructing an initial multimedia event hypergraph for a multimedia document, instantiating an event hyperedge for each detected event: iteratively evolving the initial hypergraph by using a professional agent team, and correcting the hypergraph; and deleting unreliable and redundant events from the evolved and mature hypergraph, and converting the evolved and mature hypergraph into structured output conforming to a multimedia event extraction task. According to the method, the problems of lack of event information, wrong role labeling, imaginary time or attributes and the like during extraction of the existing multimedia event are solved, the N-element relationship of the event can be captured, cross-modal reasoning and self-correction can be realized, and the technical effect that a finally extracted text result is strictly aligned with an original text is ensured.

A computer-accessible medium includes a multimedia-document integration module that includes a heterogeneous distinction identifier between a first multimedia-document and a second multimedia document and includes an integrator of the first multimedia-document and the second multimedia-document into an integrated multimedia-document, a query module that includes a query-generator encapsulated in a corresponding number of enquiry / inquiry transmissions, the enquiry / inquiry transmissions being short message-service text-messages, an acknowledgement / negative-acknowledgement transmission being a short-message-service text-message, and a variance-analytic module that includes a generator of quantitative variance from the acknowledgement / negative-acknowledgement transmission, the quantitative variance describing statistical variances and discrepancies within the first multimedia-document and within the second multimedia-document and between the first multimedia-document and the second multimedia-document.

In some implementations a computer-accessible medium includes a multimedia-document integration module that includes a heterogeneous distinction identifier between a first multimedia-document and a second multimedia-document and includes an integrator of the first multimedia-document and the second multimedia-document into an integrated multimedia-document, a data capture module that includes a data-extractor of the integrated multimedia-document, a query module that includes a query-generator encapsulated in a corresponding number of enquiry / inquiry transmissions, the enquiry / inquiry transmissions being short-message-service text-messages, a communication-subsystem that includes a transmitter of the enquiry / inquiry transmissions to an external device and receiver of an acknowledgement transmission or a negative-acknowledgement transmission from the external device, the acknowledgement / negative-acknowledgement transmission being a short-message-service text-message, and, a variance analytic module that includes a generator of quantitative variance from the acknowledgement / negative-acknowledgement transmission, the quantitative variance describing statistical variances and discrepancies within the first multimedia-document and within the second multimedia-document and between the first multimedia-document and the second multimedia-document.

The present invention includes a method and system for training a machine learning model using natural language interactions, and a technique for utilizing a machine learning model trained using natural language interactions. The method involves applying a language model to the text of a set of natural language interactions to output a set of domain-specific language (DSL) data, the set of natural language interactions being between a user and at least one other entity, the set of natural language interactions representing at least one user-defined concept, querying a knowledge base based on the set of DSL data to obtain at least one DSL query result, integrating at least one DSL query result with a structured representation of the natural language interactions to create at least one contextualized DSL query result, and training a language model using at least one contextualized DSL query result.

Systems and methods described herein are directed to implementations that facilitate individuals to collect, store, and automatically extract procedural knowledge from their messaging interactions with collaborative groups. Example implementations involve chat interfaces to communicate and add the capability to tag text and media to organize content. Example implementations also add a new thread-like structure to the previously only linear time-line of a chat. Knowledge from the chat can then be extracted automatically into a high-quality multimedia document.

A computer-accessible medium includes a multimedia-document integration module that includes a heterogeneous distinction identifier between a first multimedia-document and a second multimedia-document and includes an integrator of the first multimedia-document and the second multimedia-document into an integrated multimedia-document, a query module that includes a query-generator encapsulated in a corresponding number of enquiry / inquiry transmissions, the enquiry / inquiry transmissions being short-message-service text-messages, an acknowledgement / negative-acknowledgement transmission being a short-message-service text-message, and a variance-analytic module that includes a generator of quantitative variance from the acknowledgement / negative-acknowledgement transmission, the quantitative variance describing statistical variances and discrepancies within the first multimedia-document and within the second multimedia-document and between the first multimedia-document and the second multimedia-document.