56results about "Metadata multimedia retrieval" patented technology

Aspects of the subject disclosure may include, for example, a media consumption database that stores data elements describing conditions under which electronic media content is consumed by a user on an electronic device. A search of the media consumption database based on at least a portion of the conditions may result in at least a portion of the electronic media content to be re-presented to an electronic device of the user Other embodiments are disclosed.

We provide the system. [Solution] A generation means for generating a digital book by integrating digital data acquired from various recording media with user profile information and related information acquired from an external database, Optimization means for optimizing the aforementioned digital book for different display devices, A means of sharing the generated digital book with an external third party, A system that includes this.

The present disclosure provides an information processing method and apparatus, and an electronic device. The method includes: displaying first information in response to a second user having generated second multimedia content using first multimedia content, where the first multimedia content is multimedia content published by a first user; and acquiring the second multimedia content in response to an operation on the first information and playing the second multimedia content, thus reducing the operation complexity of acquiring the second multimedia content.

Voice-based input is used to operate a media device and / or to search for media content. Voice input is received by a media device via one or more audio input devices and is translated into a textual representation of the voice input. The textual representation of the voice input is used to search one or more cache mappings between input commands and one or more associated device actions and / or media content queries. One or more natural language processing techniques may be applied to the translated text and the resulting text may be transmitted as a query to a media search service. A media search service returns results comprising one or more content item listings and the results may be presented on a display to a user.

A method, system and non-transitory computer readable storage medium for managing engagement and presentation of electronic documents is described herein. In an implementation, the method comprises receiving a registration request, with a nickname and without personally identifying information, from the parent account to set up the nicknamed child account; enabling resource access via the nicknamed child account on a device; receiving an e-book request from the parent account to assign e-books to the nicknamed child account; assigning the one or more e-books to the device, based on the nicknamed child account and authorizing the device to display content of the e-books to the child; receiving and tracking activity data for the child and the assigned e-books; receiving a purchase request, from the nicknamed child account, to buy an e-book from an electronic bookstore; and notifying the parent account of the purchase request.

In other embodiments, a method to perform image-based searching may include receiving a group of images from a content owner; creating an index using the group of images; receiving a further image from a mobile computing device of a user; determining a correlation between the further image and the index; and / or directing the mobile computing device of the user to content of the content owner, responsive to the determining of the correlation.

Example methods and systems for indexing fingerprints are described. Fingerprints may be made up of sub-fingerprints, each of which corresponds to a frame of the media, which is a smaller unit of time than the fingerprint. In some example embodiments, multiple passes are performed. For example, a first pass may be performed that compares the sub-fingerprints of the query fingerprint with every thirty-second sub-fingerprint of the reference material to identify likely matches. In this example, a second pass is performed that compares the sub-fingerprints of the query fingerprint with every fourth sub-fingerprint of the likely matches to provide a greater degree of confidence. A third pass may be performed that uses every sub-fingerprint of the most likely matches, to help distinguish between similar references or to identify with greater precision the timing of the match. Each of these passes is amenable to parallelization.

Various embodiments provide for systems, methods, and computer-readable storage media for annotating a collection of media items, such as digital images. According to some embodiments, an annotation system automatically determines one or more annotations for a plurality of media content items, and generates a collection of media content items that associates the determined annotations with the plurality of media content items. Depending on the embodiment, annotations that may be determined for the plurality of media content (and associated with the collection for the media content items) can include, without limitation, a caption, a geographic location, a category, a novelty measurement, an event, and a highlight media content item representing the collection.

This invention relates to the field of archival management technology and discloses an intelligent classification and retrieval method for surveying and mapping archives. The method includes: acquiring a user-inputted retrieval command; parsing the retrieval command to obtain terrain constraints; matching a surveying and mapping archive feature vector library based on the terrain constraints to obtain candidate matching results; collecting supporting data based on the user ID and retrieval command; wherein the supporting data includes: scene data, user data, and feature quality data; calculating modal weight parameters based on the terrain constraints, scene data, user data, and feature quality data; constructing a retrieval reward function based on the retrieval command and modal weight parameters; and determining the target retrieval result based on the retrieval command, the retrieval reward function, the surveying and mapping archive feature vector library, and the candidate matching results. By implementing this invention, the problem that related technologies have failed to form a complete surveying and mapping archive retrieval technology system that balances accuracy, real-time performance, and scene adaptability is solved.

This application provides a method for generating and identifying metadata, as well as an electronic device. The method includes: first, acquiring media content; then, generating metadata for the media content, the metadata including an AIGC (Artificial Intelligence Generated Content) identifier, which indicates whether the media content is AIGC. Subsequently, the AIGC identifier in the media content's metadata can be used to identify whether the media content is AIGC; this can help users determine the authenticity of media content to a certain extent, and increase users' vigilance when using (e.g., forwarding) media content.

The application provides a financial content recommendation method and device, electronic equipment and storage medium, and relates to the field of financial technology or other related technical fields. The method comprises the following steps: in response to an information input operation triggered by a user on a recommendation prompt page, obtaining query information corresponding to the information input operation; obtaining at least one multimedia content matched with the query information and determining label information corresponding to each of the at least one multimedia content; determining target label information matched with personalized information of the user according to the label information corresponding to each of the at least one multimedia content; generating a financial recommendation page according to target multimedia content corresponding to the target label information, and displaying the financial recommendation page. The method improves the accuracy and effectiveness of financial content recommendation.

A method includes detecting a session between a mobile device and an alternative playback device. In response to detecting that the session has been established, the method also includes presenting a graphical user interface (GUI) on a screen of a mobile device of a user including a voice search GUI element representing a voice search, receiving a user selection of the voice search GUI element, receiving an audio input of the user to request a search of one or more media items, the audio input specifying one or more search criteria for the search, and submitting a textual search query derived from the audio input for processing, wherein a result of the search is to be presented to the user on a screen of the alternative playback device.

The application relates to the technical field of search, and discloses a keyword recommendation method, device and equipment and a storage medium, the method comprising the following steps: extracting a search keyword from a search instruction input by a user when the search instruction is received; obtaining a multimedia information keyword candidate set corresponding to the user when the search keyword does not satisfy a preset condition; determining a user interest word set according to a preset fine-grained recognition strategy and the multimedia information keyword candidate set; performing recall on the multimedia information keyword candidate set and the user interest word set respectively according to a preset recall strategy to obtain a plurality of keyword update candidate sets; performing coarse sorting on the keyword update candidate sets; and performing keyword recommendation according to a sorting result. In the application, when a search keyword input by a user does not satisfy a preset condition (i.e. is not standardized or is semantically confused and cannot be recognized), the multimedia information keyword is recommended by fusing a user behavior (i.e. a multimedia information keyword candidate set corresponding to the user) of comprehensive search.

This disclosure relates to distributed hardware tracing. A computer-implemented method executed by one or more processors includes: monitoring the execution of program code executed by a first processor component; and monitoring the execution of program code executed by a second processor component. The computing system stores data identifying hardware events in a memory buffer. The stored events occur across processor units including at least first and second processor components. Each hardware event includes an event timestamp and metadata characterizing the event. The system generates a data structure identifying the hardware events. The data structure arranges the events in a time-ordered sequence and associates the events with at least the first or second processor component. The system stores the data structure in a repository on a host device and uses the data structure to analyze the performance of program code executed by the first or second processor component.

The application provides a multimedia information sharing method and device, electronic equipment and computer readable storage medium; the method comprises the following steps: presenting a progress bar of multimedia information in a playing interface; in response to a marking operation on the progress bar, presenting a time point mark corresponding to the marking operation in the progress bar, wherein the time point mark corresponds to a multimedia information segment to be shared; in response to a sharing operation on the multimedia information, sending a sharing message, wherein the sharing message is used for sharing the multimedia information segment to be shared corresponding to the time point mark. Through the application, personalized sharing of multimedia information can be realized.

The application provides a media data visual analysis system, which comprises a data acquisition module, a data preprocessing module, an analysis engine module, a visual rendering module and a system control module. The data acquisition module is configured with a mixed mechanism of a network crawler and API calling, can adapt to technical protocols of various information sources such as social media, news websites and video platforms, and can continuously and stably obtain original data with different structures. Through the introduction of a heat analysis formula considering time decay and comprehensive behaviors such as likes, comments and shares, the attention degree and propagation effect of information units can be quantified more scientifically and accurately. The application integrates data acquisition, preprocessing, analysis engine and visual rendering into one system, forms a complete closed-loop workflow for media data value mining and display, and overcomes the defects of fragmented links and low integration in the prior art.

Aspects described herein relate to identifying media items relevant to a selected subject matter including, for example, determining the subject matter of a first media item, which may comprise at least one of audio content or video content; determining the classification within an ontology of the subject matter of the first media item; analyzing the ontology to identify other subject matter related to the subject matter of the first media item; and performing a search for other media items relevant to the subject matter of the first media item as a function of at least the other related subject matter according to the ontology.

Embodiments of this application provide a metadata generation method and an electronic device. The method includes: obtaining media content; and generating metadata of the media content, where the metadata of the media content includes first information of the media content and a privacy flag, and the privacy flag indicates that the first information of the media content is public information or non-public information. In this way, non-public information and public information in the metadata of the media content may be determined based on the privacy flag, and then corresponding use / display limitation is performed on a media asset. For example, when the metadata of the media content is displayed, only the public information is displayed. For another example, in a process of using the media content, only media content whose target information is public information in the metadata of the media content is used.

In some implementations, documents can be presented on a display of a computing device based on a context of the computing device. The context can include a current time and / or current location associated with the computing device. The documents can be presented based on a time and / or location associated with the documents. Documents can be downloaded and shared between devices. Documents can be dynamically updated based on document vendor provided information and / or other network based resources. In some implementations, the various graphical interfaces described herein provide access to a variety of document types in an organized and efficient manner.

The technology is generally directed to enabling on-device attribution using network identifier-derived transient identifiers. The network identifiers may be, for example, internet protocol addresses associated with a user device. The attribution may be determined based on a user engagement with digital content and subsequent installation of an application associated with the digital content. For example, transient identifiers, such as hashes, may be generated in response to user engagement and the application installation. At least some of the hashes may be encrypted, or keyed. The hashes are transient identifiers that remove any personalized information associated with the user such that the user remains anonymous while an attribution can still be determined. The hashes generated in response to the user engagement and application installation may be compared to determine a match. A match may be considered an attribution after being validated.

An event detection system is configured to access a repository that contains a collection of media content. The media content may for example include images, videos, audio clips, and the like, wherein the media content comprises features that include: tags (e.g., hashtags or other similar mechanisms to label and sort content); captions that comprises one or more words or phrases; continuous numerical values; geolocation data (e.g., geo-hash, check-in data, coordinates); as well as temporal data (e.g., timestamps).

The application discloses a data processing method and device for a media object, equipment and medium. The method comprises the following steps: obtaining target audio data of a media object to be processed; performing text vector representation processing on target speech recognition text corresponding to the target audio data to obtain a target text representation vector; performing vector similarity calculation on the target text representation vector and each historical text representation vector in N historical text representation vectors respectively to obtain N vector similarities; when K historical media objects are screened out from the N historical media objects through the N vector similarities, determining a target recommendation feature for representing the media object to be processed based on an established similar association relationship and K historical recommendation features of the K historical media objects, and performing media recommendation on a target service object matched with the media object to be processed through the target recommendation feature. According to the application, the accuracy of media recommendation can be improved for media objects with less interaction data.

This disclosure provides a method and apparatus for rendering media resources, computer equipment, and storage media. The method includes: acquiring a plurality of media rendering resources in a rendering template in a media editing interface; generating first media data based on the plurality of media rendering resources, wherein the first media data includes a first rendering resource set that includes at least some of the media rendering resources; playing back the first media data in a media editing interface; and, in the process of playing back the first media data, adding in real time the playback effect of a second rendering resource set that includes other media rendering resources from the plurality of media rendering resources other than the first rendering resource set.

This application discloses a multimodal question-answering method, apparatus, and device based on multi-stage scene graph enhancement, relating to the field of artificial intelligence technology. It generates a structured scene graph of an image through a visual language model, and performs multi-stage alignment of the visual features corresponding to the scene graph and the text features corresponding to the natural language question, achieving cross-modal embedding fusion. Then, it utilizes knowledge retrieval and prompting learning mechanisms, combined with external knowledge, to generate accurate question-answering results. Thus, with multimodal semantic understanding and knowledge reasoning as its core, through the synergistic optimization of graph structure modeling, semantic alignment, and knowledge enhancement, it achieves deep semantic fusion and logically consistent question answering between images and text, thereby significantly improving the accuracy and robustness of question answering in complex scenarios.

This application provides a method and system for constructing a multimodal large-scale model for safety management in the construction process. The method includes: acquiring structured and unstructured data related to safety management in the construction process, constructing a safety element ontology, and assigning global object identifiers and relational constraints to objects in the structured and unstructured data; processing the structured and unstructured data, generating evidence objects based on global object identifiers and unified time stamps; constructing six categories of libraries based on the evidence objects, using the evidence objects and entries associated with object identifiers in the six categories as training samples, performing multimodal representation alignment training and consistency verification training based on relational constraints to obtain a multimodal large-scale model for safety management in the construction process, and deploying the multimodal large-scale model as a reasoning model for risk classification, hazard closure-loop judgment, and emergency resource allocation based on evidence object references. This application can improve the accuracy of risk identification, accelerate hazard closure-loop handling, and improve emergency response efficiency.

The application provides a media information violation detection method and device, electronic equipment and storage medium, and relates to the technical field of violation detection. The method comprises the following steps: acquiring media information to be detected; determining key data in the media information, the key data being data used for evaluating whether a violation exists; reorganizing the key data based on a reorganization rule corresponding to an information type of the media information to obtain reorganized data; and matching the reorganized data with data in a preconfigured standard database to determine whether there is a violation in the media information; wherein the data recorded in the standard database is data representing that a violation exists or data representing that no violation exists. The violation detection method, device, electronic equipment and storage medium provided by the application can conveniently and quickly detect violations in various types of media information, and can meet the detection requirements of massive media information.