41 results about "Metadata element" patented technology

A system or process may generate a summarization of multimedia content by determining one or more salient moments therefrom. Multimedia content may be received and a plurality of frames and audio, visual, and metadata elements associated therewith are extracted from the multimedia content. A plurality of importance sub-scores may be generated for each frame of the multimedia content, each of the plurality of sub-scores being associated with a particular analytical modality. For each frame, the plurality of importance sub-scores associated therewith may be aggregated into an importance score. The frames may be ranked by importance and a plurality of top-ranked frames are identified and determined to satisfy an importance threshold. The plurality of top-ranked frames are sequentially arranged and merged into a plurality of moment candidates that are ranked for importance. A subset of top-ranked moment candidates are merged into a final summarization of the multimedia content.

Systems, apparatus, processes, and computer-readable media for wireless communication are disclosed. For example, according to aspects described herein, a reconfigurable smart surface (RIS) may receive a configuration message including an indication to reduce a gain of at least a portion of a reflected beam. The RIS may generate reflection coefficients for a metadata element of the RIS based on the configuration message. The RIS may configure the metadata element based on the reflection coefficient. For example, based on configuring the metadata element, the RIS may generate or generate the reflected beam (e.g., a sensing reflected beam or an interfering reflected beam) by reflecting a sensing signal received from a sensing transmitter device.

A system and method for multi-level compaction of floating-point numbers and associated metadata within datasets. The system identifies floating-point numbers and their associated metadata, pre-encodes numbers into binary string representations, and encodes metadata into compact binary form. These encoded elements are linked together and indexed to indicate they represent floating-point numbers with metadata. The dataset is organized into multiple compaction levels based on semantic relationships between metadata elements. The system creates specialized indices for metadata-based retrieval, maintains relationship maps, and implements inheritance policies across hierarchical levels. During retrieval, the system reconstructs both the original floating-point values and their associated metadata, preserving hierarchical relationships. This approach enables more intelligent data organization, richer contextual information preservation, and more powerful query capabilities while maintaining efficient floating-point compaction.

In one example aspect, a first content item is received. First metadata from the first content item; detecting a match between the first metadata and at least one predetermined metadata element in a knowledge repository pertaining to a target blockchain context; determining a first blockchain wallet address associated with the first content item; locating a second content item based on the first blockchain wallet address; extracting second metadata from the second content item; and updating the knowledge repository based on the second metadata extracted from the second content item.

Techniques for processing sensor data are provided. Sensor data, such as individual messages or data points from devices having one or more hardware sensors, can be annotated with one or more metadata elements to facilitate sensor data processing. An annotation rule for sensor data can be determined and sensor data annotated according to the annotation rule. Sensor data can be written to a relational database table, where the table has a schema that provides columns for storing data for particular indicators of an indicator group having a plurality of indicators.

The invention relates to an audio production model file creation method and electronic equipment. The method comprises the steps of obtaining an original audio file; analyzing the original audio file through a renderer, and generating corresponding preset metadata elements; wherein the preset metadata elements comprise an audio program element, an audio content element, an audio object element, an audio track unique identification element, an audio packet format element, an audio channel format element, an audio stream format element and an audio track format element; based on the relation between the preset metadata elements, establishing a reference relation of the corresponding elements; generating a metadata file from the preset metadata elements according to the preset metadata elements and the reference relationship; creating a channel allocation file for connecting the metadata file and an audio track of the original audio file; and establishing a guide relationship between the metadata file and the channel allocation file, and generating an audio production model file.

Visual representations represented in computer files can undergo various changes, in terms of specific visual details in a visual representation, without changing the semantics of what is represented. The present disclosure provides techniques and solutions for generating an identifier for a visual representation using one or more content-independent semantic metadata elements. Content-independent semantic properties are those that do not correspond to individual visual elements in a visual representation, or to properties of a visual representation that do not contribute to a description of an overall semantic provided by the visual representation. Disclosed techniques can be used to identify when a visual representation is generated or imported that has the same overall semantic, as indicated by the identifier, as another visual representation. The two visual representations can have the same or different image elements. Disclosed techniques also provide that visual representations that have a different overall semantic are assigned different identifiers.

Example systems and methods for automatically configuring a tool for one or more image processing device jobs are disclosed. An example system comprises an image processing camera and a user-computer device coupled to it. The user-computer device, operating in a creation mode, is configured to: receive an image; display the image on a canvas, the canvas being part of a user interface of an image processing application; display targets of interest on the canvas based on an image processing tool; when a target is selected, determine appropriate metadata elements for the target and automatically reconfigure the tool to identify targets matching these metadata elements or a range thereof. The reconfigured tool is then made available for runtime operation.

Example systems and methods for auto-configuring a tool for one or more imaging device jobs are disclosed. An example system includes a machine vision camera, and a client computing device coupled the

Techniques and solutions for storing and processing metadata are described. A target system sends a request to a source system to identify extensions to one or more specified database artifacts. The source system identifies one or more software objects that include metadata extensions to the one or more specified database artifacts, and in response to the request, sends at least a portion of such metadata elements to the target system. The source system can expose an API, such as an API in a standard format, to the target system to facilitate requesting and retrieving metadata from the source system.

The invention discloses a data visualization construction method and device based on element marking and a readable medium. The data visualization construction method comprises the steps that metadata corresponding to a certain service are obtained, and metadata elements and metadata element description attributes in the metadata corresponding to the metadata are determined; defining a first element used for marking the metadata element, a second element used for marking the description attribute of the metadata element and a visualization strategy; respectively marking the metadata element and the metadata element description attribute in the metadata corresponding to a certain business by adopting the first element and the second element to obtain marked metadata; and obtaining to-be-rendered data, analyzing the to-be-rendered data according to the marked metadata to obtain a first element, a second element and a value of the second element corresponding to the to-be-rendered data, matching the first element, the second element and the value of the second element with a visualization strategy to obtain a matching result, and performing visual rendering on the to-be-rendered data according to the matching result. According to the method, the elements are taken as the core, and real-time and dynamic visual rendering of the data is realized.

The invention provides an automatic metadata recognition and extraction method for remote sensing images and spatial data, and belongs to the technical field of remote sensing measurement. Multi-source remote sensing image data are collected and preprocessed to establish a multi-modal image set under a unified geographic coordinate system, and an image pyramid is constructed by using a GPU accelerated block parallel processing architecture; a topographic feature extraction algorithm based on topology durability is used to identify stable topographic markers, a geometric registration feature extraction and matching network is constructed, a structured prediction framework based on a probability graph model is used to carry out accurate registration, and adaptive filtering and multi-modal data fusion are carried out on a registered image set. A semi-supervised classification algorithm based on random walk is used for carrying out ground feature classification, metadata elements are automatically identified according to a ground feature classification result and stable topographic markers, and the technical problem that the registration precision is insufficient due to the fact that topographic feature extraction is prone to noise interference in multi-mode remote sensing image registration is solved.

A system and method for multi-level compaction of floating-point numbers and associated metadata within datasets. The system identifies floating-point numbers and their associated metadata, pre-encodes numbers into binary string representations, and encodes metadata into compact binary form. These encoded elements are linked together and indexed to indicate they represent floating-point numbers with metadata. The dataset is organized into multiple compaction levels based on semantic relationships between metadata elements. The system creates specialized indices for metadata-based retrieval, maintains relationship maps, and implements inheritance policies across hierarchical levels. During retrieval, the system reconstructs both the original floating-point values and their associated metadata, preserving hierarchical relationships. This approach enables more intelligent data organization, richer contextual information preservation, and more powerful query capabilities while maintaining efficient floating-point compaction.

A system or process may generate a summarization of multimedia content by determining one or more salient moments therefrom. Multimedia content may be received and a plurality of frames and audio, visual, and metadata elements associated therewith are extracted from the multimedia content. A plurality of importance sub-scores may be generated for each frame of the multimedia content, each of the plurality of sub-scores being associated with a particular analytical modality. For each frame, the plurality of importance sub-scores associated therewith may be aggregated into an importance score. The frames may be ranked by importance and a plurality of top-ranked frames are identified and determined to satisfy an importance threshold. The plurality of top-ranked frames are sequentially arranged and merged into a plurality of moment candidates that are ranked for importance. A subset of top-ranked moment candidates are merged into a final summarization of the multimedia content.

Disclosed herein are system, method, and computer program product embodiments for generating metadata element recommendations. For example, the method includes acquiring, by at least one processor and via a user interface, metadata associated with a data store. The method also includes performing natural language processing on the metadata to generate processed metadata, generating a candidate table name and a table description associated with the candidate table name for a table included in the metadata, and generating a first candidate attribute name, an attribute description associated with the first candidate attribute name, and a corresponding data type for each attribute associated with the table. The method also includes generating a second candidate attribute name for each attribute by extracting one or more keywords from the first candidate attribute name, and modifying the user interface to include at least the candidate table name.

The invention relates to creating unique identifiers for indexing, sorting, and searching on multiple-part alpha numeric information. The information can be in a database, spreadsheet, or printed on materials that need to be manually placed in order.

Data set discovery is disclosed, including: identifying first file metadata elements for a first file associated with a node in a hierarchy of data; identifying second file metadata elements for a second file associated with the node; identifying common file metadata elements among the first file metadata elements and the second file metadata elements; and determining that the common file metadata elements represent a data set comprising at least the first file and the second file.

A method, computer program product, and computing system for receiving a metadata input / output (IO) request on a first storage node of a storage system. The metadata IO request may be partitioned into a plurality of metadata pages. The plurality of metadata pages may include a plurality of logical metadata pages and a plurality of virtual metadata pages. A family identifier may be obtained for each logical metadata page. The family identifier is a unique identifier assigned to a group of related metadata elements that share data, and is stored in a family identifier locking table. At least one of the plurality of metadata pages may be locked from access by a second storage node using the family identifier. The metadata IO request may be processed on the plurality of metadata pages by loading the at least one of the plurality of metadata pages into a memory of the first storage node.

The invention discloses an archive management method and system based on metadata, electronic equipment and a storage medium, and the method comprises the steps: defining metadata of all archive types in an archive system, and constructing a unified metadata model; classifying the metadata, and extracting public metadata and private metadata; configuring basic information of the metadata; in a file configuration page, a metadata component is introduced in a dragging mode, a file entry form, a list and a detail page are constructed, and a corresponding database table structure is automatically generated; monitoring MySQL Binlog on the basis of Canal, collecting data of public metadata elements in the file table in real time, and synchronizing the data to Elasticsearch; a unified index is constructed based on Elasticsearch, and unified retrieval across file types is achieved. According to the method, the problems of difficulty in standard landing, poor expansibility, low retrieval efficiency and the like in an existing archive management system are solved.

Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Various embodiments of the present technology generally relate to systems and methods for optimizing resources within a customer data platform (CDP). In certain embodiments, a method may comprise operating a resource optimizer system to implement a CDP resource optimization process to remove obsolete metadata, the CDP resource optimization process including monitoring metadata usage within a CDP, generating metrics for a metadata element based on the metadata usage, defining a rule set for selecting the obsolete metadata for removal based on the metrics, and applying the rule set to remove the obsolete metadata.

Techniques and solutions are described for retaining names for metadata elements, such as when metadata is imported, converted to a different format, or used with a system that may have restrictions on naming different than a system on which the metadata is created. Metadata includes a plurality of metadata elements, including a first metadata element associated with a first name. A second name is received for the first metadata element. The second name is assigned to the first metadata element. An association is created between the renamed first metadata element and the first name.

The present description relates to a method of writing a first group of N data elements, N being an integer, into a second group of N memory cells of a phase-change memory, each data element of the first group comprising a metadata element, and at each writing of a data element of the first group into a memory cell of the second group, the value of the metadata element of the data element is modified.

The invention relates to the field of railway engineering, and discloses a railway engineering metadata updating and publishing method and device. Comprising the following steps: performing authority management based on a role access control model; node fragmentation is carried out according to projects, lines and professions, modifiers are distributed, and a metadata element relation tree and content are modified and submitted; an auditor audits the modification opinions, judges conflicts in combination with a semantic analysis method and a weight rule base and outputs an auditing result; a version number is given to the metadata unit passing the auditing, and the metadata unit is packaged to form a metadata packet; overall or staged release is carried out on the metadata packet, and gray release and A / B testing are supported; a digital signature and encryption mechanism is adopted in the publishing process, so that the integrity and security of the metadata in the transmission and storage process are guaranteed; therefore, the metadata updating and publishing efficiency is improved, the multi-specialty cooperation capability is enhanced, and the data security and credibility are improved.

There may be provided a method of decoding a received set of encoded data representing information that has been compressed, wherein the encoded data set is divided into a hierarchy of subsets, the method comprising: decoding at least one first subset to derive a respective set of attribute metadata elements; separately decoding a plurality of second subsets comprising data elements, wherein each second subset describes a region of the information that has been compressed; and, reconstructing the information that has been compressed from the data elements, wherein the region of the information that has been compressed is identified from the attribute metadata elements.

An information processing device comprises a P-value calculation unit that calculates a module P-value for verifying whether a formed module is correct for a module configured from elements included in multivariate data for which correlation network analysis is to be performed.

In one example aspect, a first content item is received. First metadata from the first content item; detecting a match between the first metadata and at least one predetermined metadata element in a knowledge repository pertaining to a target blockchain context; determining a first blockchain wallet address associated with the first content item; locating a second content item based on the first blockchain wallet address; extracting second metadata from the second content item; and updating the knowledge repository based on the second metadata extracted from the second content item.

A central service method for transaction integrity for an on-chain order fulfilment with an off-chain payment includes receiving, by a receiving device, at least one dispute-related structured data set associated with the off-chain payment, wherein the dispute-related structured data set includes at least one data element; processing the transaction message with one or more processing devices; storing, in at least one storage environment, one or more of the extracted dispute data element, the dispute extracted metadata element, and the generated dispute metadata element relating to the received dispute-related structured data set, wherein the stored data element indicates a change from a first state to a second state; querying the data storage environment for a present state via code on a blockchain, wherein the code on the blockchain is further configured to automatically execute a method surviving execution when the queried present state matches a predetermined trigger condition.

Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

This information processing device comprises: an FNI analysis unit that executes an FNI analysis process for incorporating a false negative element into each of a plurality of modules composed of elements possessed by multivariate data subjected to correlation network analysis; and an FNI assignment processing unit that executes an assignment process for eliminating duplication with respect to duplicating elements in the plurality of modules that are generated by the FNI analysis process.