755results about "Still image data indexing" patented technology

The invention provides an image data and pattern spot management system and method and electronic equipment, and relates to the technical field of geographic information data processing, and the image data and pattern spot management system comprises an image data indexing module which is used for carrying out three-dimensional indexing on a remote sensing image to obtain a space-time-data source association chain of the remote sensing image, the remote sensing image contains pattern spot data with an identifier; the pattern spot complete cycle construction module is used for performing multi-temporal analysis on the pattern spot data to obtain an analysis result, and constructing a pattern spot change life cycle map of the pattern spot data in combination with the association chain; and the tracing module is used for positioning the target pattern spot when the target pattern spot needs to be traced to obtain a change node of the target pattern spot and a space-time-data source index corresponding to the change node, and searching in the association chain according to the change node and the space-time-data source index to obtain a traceable data chain. According to the invention, the storage and management of the geographic image data and the pattern spot data are more systematized and refined.

Embodiments of the present disclosure relate to multimodal AI-based search for digital assets via an indexing and / or search pipeline. With respect to the indexing pipeline, some embodiments obtain first data and second data associated with a first digital asset. Such data represents different data types or modalities of the same digital asset. After obtaining the first and second data, some embodiments then generate a composite index. After the composite index is built such index can then be used to execute a query via the search pipeline. To execute the query some embodiments compute a relevance score for each digital asset, of multiple digital assets, based at least in part on a measure in which each digital asset satisfies one or more parameters or conditions for two or more data types of the query. Various embodiments then rank each digital asset and present one or more associated indicators.

The invention provides a three-dimensional visualization analysis method for a real scene of an ancient earthquake exploring groove, which belongs to the technical field of seismic geological survey and comprises a data acquisition module used for acquiring point cloud data of target exploring grooves in different regions. And the model building module is used for carrying out scene format conversion on the point cloud data of the target exploring grooves in different regions, and carrying out exploring groove three-dimensional model building by utilizing the converted SLPK file. And the visualization module is used for carrying out live-action three-dimensional display on the three-dimensional models of the target probe grooves in different regions through a three-dimensional scene Web server based on the SLPK files in different regions, and rendering node data of different detail levels of the probe grooves according to user requirements. The ancient earthquake event can be better understood, and a reliable three-dimensional digital file and a new shared analysis normal form are provided for the ancient earthquake.

The invention discloses a data container storage and management method based on a multi-scale space subdivision grid, and the method comprises the steps: constructing a multi-scale space subdivision grid coding system covering the earth surface and the height dimension based on an earth space subdivision theory, and endowing each grid with a unique code to form a unified space-time framework; multi-source data of images, vectors, non-space and the like are collected and transmitted to a processing center, and after consistency detection and normalization processing are carried out, unified grid codes are generated for various kinds of data based on the coding system, and mapping is established; and finally, storing the coded data into a database, updating an index, realizing dynamic scheduling, logic aggregation and visual display of multi-source data by means of unified coding, realizing efficient management and control and cross-domain collaboration of massive heterogeneous data, and improving data storage consistency and retrieval and display efficiency. According to the method, the problems of fragmentation of spatial big data, slow retrieval response, difficulty in cross-domain fusion and the like are effectively solved, and the management efficiency and the sharing depth of the spatial data are remarkably improved.

The invention belongs to the technical field of brain-computer interfaces, multi-modal feature alignment and information retrieval, and discloses a visual content retrieval method based on electroencephalogram signals. Cross-subject standardized electroencephalogram samples are obtained and input into an electroencephalogram encoder to extract low-dimensional electroencephalogram signal feature vectors; an image encoder is adopted to process the corresponding retrieval images to extract visual feature vectors; the low-dimensional electroencephalogram signal feature vector and the visual feature vector are jointly input into a prototype attention enhancement module to form a dynamic prototype pool, and prototype enhanced electroencephalogram signal representation is obtained through processing; the method comprises the following steps: performing classification training according to existing prototype enhanced electroencephalogram signal representation and image data pairs; for a plurality of time slices of the to-be-queried electroencephalogram signal sample, calculating a reconstruction error or a signal-to-noise ratio of each time slice to obtain a confidence coefficient; and adopting a weighted average or voting mechanism to fuse a plurality of time slice results, and outputting a stable and robust final visual retrieval classification result.

The invention provides a multi-modal semantic fusion image and text relevance dynamic analysis method and system, and belongs to the technical field of multi-modal data processing. The method comprises the steps of image and text data preprocessing, feature extraction, fusion semantic vector generation through a bidirectional cross attention mechanism, dynamic relevance score calculation through a time sequence attention long-short-term memory network and combined loss function end-to-end training. According to the method, accurate alignment of image and text features can be realized through a bidirectional cross attention mechanism, the cross-modal matching accuracy is improved, the dynamic correlation analysis capability is enhanced by using time sequence modeling, and the problems of insufficient feature coding suitability and limited time sequence modeling capability in the prior art are solved.

The embodiment of the invention discloses a building engineering crack detection method and system based on image recognition, and the method comprises the steps: obtaining a building surface image, carrying out the preprocessing of the image, obtaining a standardized image, and carrying out the multi-scale decomposition extraction and integration of various features, and forming a multi-dimensional feature descriptor set; after feature importance is evaluated, a compact feature vector is generated through dimension reduction, quantization coding and compression, and then a multi-level feature index mechanism for optimized compression is constructed. A query feature vector is extracted from a newly collected image, searching and screening are completed by means of an index mechanism and a tolerance threshold, and a crack matching result is obtained; and based on the result, positioning cracks, classifying types, measuring parameters and evaluating severity, and generating a crack state report. The crack trend is analyzed in combination with the historical data time sequence, a multi-stage early warning mechanism is designed, maintenance suggestions are provided, and a real-time monitoring and early warning system is formed. According to the embodiment of the invention, the technical problems of high storage pressure and low real-time detection efficiency in the prior art can be effectively solved.

The invention discloses a scene generation method and device based on multi-source GIS data fusion, and relates to the technical field of digital twinning and programmed generation. The method comprises the following steps: acquiring GIS data, preprocessing the GIS data, and storing the preprocessed GIS data in a geographic information resource library; a structured resource library is constructed, semantic parameters are added to the three-dimensional model in the structured resource library through the configuration file, and three-dimensional model resources with structured semantics are constructed; on the basis of the three-dimensional model resources with structured semantics and GIS data in a geographic information resource library, building and road generation and terrain processing are carried out in a programmed modeling engine through a configuration file, and scene data are generated; and importing the generated scene data into a real-time rendering engine, carrying out dynamic environment interaction and biocenosis simulation, and generating a city scene. The problems that in the prior art, an urban three-dimensional modeling method is low in efficiency and insufficient in environment interaction reality sense are solved.

The invention relates to the technical field of ocean structure monitoring, in particular to a method for monitoring the scouring degree of a pile foundation of an offshore wind power station through bubble tracing, which comprises the following steps of: 1, constructing a bubble feature data acquiring an underwater image, manually segmenting and selecting key bubbles, extracting contour features of the key bubbles and expressing the contour features by vectors, a Zernike moment is used for grouping according to shapes, and a bubble feature database is constructed; and 2, identifying underwater bubbles: obtaining an underwater background image, constructing a dynamic background, obtaining an image containing suspended particles, extracting a foreground main body through a background subtraction method, comparing contour features of the foreground main body with a bubble feature database, and screening out the bubbles. By introducing an innovative method combining image recognition, feature modeling and physical inversion, the key problems of bubble misjudgment, track loss, inaccurate flow velocity and the like in a traditional bubble tracing technology are effectively solved, and high-precision, low-cost and automatic monitoring of the scouring process of the offshore wind power pile foundation is achieved.

The invention belongs to the technical field of geographic information technology and remote sensing image processing and service, and discloses a slice-free image service system and method based on dynamic projection and real-time mosaic, which abandons the traditional pre-slicing mode, directly provides online service based on original image data, and improves the service efficiency. The problem of redundant storage caused by pre-generation and storage of massive tiles is fundamentally eliminated, and storage space is saved by up to 90%. Meanwhile, when the original data is updated, the system does not need to carry out a time-consuming re-slicing process, real-time updating and publishing of services can be realized, and the core pain points of long data updating period and high delay in the traditional technology are thoroughly solved. Through the integrated dynamic projection engine and the real-time mosaic module, the on-demand service request of the client for any coordinate system, any spatial range and any resolution can be responded.

The invention provides an automatic material identification and matching method and system for a three-dimensional model and a medium, and relates to the technical field of material management, and the method comprises the steps: constructing a standardized material database, and extracting and standardizing material attribute information; analyzing first material description information in the three-dimensional software model by utilizing an SQL (Structured Query Language), and matching the first material description information with the material attribute information to obtain a first material matching result; extracting second material description information in the project material document by using VBA programming, and matching the second material description information with the material attribute information to obtain a second material matching result; and data integration is carried out through PowerBI, and a project material state visual billboard is constructed. The technical problems that in the prior art, a unified standardized material database is lacked, material description formats in different sources are inconsistent, expression is not standard, a construction material list cannot be accurately generated, and informatization and intellectualization of project material management are limited are solved.

The invention provides a data processing method and device based on a smart city, and relates to the technical field of data processing.The method comprises the steps that a city-level spatial data base is constructed through oblique photography of an unmanned aerial vehicle, and a unified and real spatial foundation is formed by generating a live-action three-dimensional model, a digital orthoimage and a digital elevation model; on this basis, a building base and a building white model are extracted, spatial logic verification is carried out on multi-source business basic data, a standard address system stably associated with a building three-dimensional entity is further constructed, precise spatial anchoring of governance objects such as population, houses and units is achieved, and the method is suitable for mass production. And finally, the associated data is uniformly converged to a city information model platform, and reliable and updatable spatial data support is provided for smart city application. According to the invention, the timeliness of smart city data processing in a dynamic earth surface deformation scene can be improved.

The invention relates to the technical field of automatic spraying, and discloses a spray gun path planning system for automatic spraying equipment. An acquisition unit of the system acquires three-dimensional point cloud data of the surface of a workpiece to be sprayed, operation state data of spraying equipment and environment monitoring data, and performs space-time alignment to form a spraying operation multi-dimensional data set; the processing unit performs sparse reconstruction on the multi-dimensional data set to obtain target surface feature data and abnormal spraying indication data; the planning unit combines target surface feature data and preset parameters of a spraying process parameter library to generate a multi-target optimized spray gun path planning scheme containing a spray gun moving track, a spraying speed and a paint output amount control sequence; and the adjusting unit determines abnormal conditions in real-time updating according to the abnormal spraying indication data, and dynamically adjusts the original planning scheme to generate a new scheme. The system can improve the spraying quality and efficiency, reduce coating waste and meet the requirements of complex spraying scenes.

The invention discloses a distributed medical image retrieval and hierarchical storage management system and method. The system comprises an interface processing module, a distributed image storage cluster, a routing forwarding module, a metadata management module and a storage management module. The interface processing module receives the image retrieval request, generates a routing identifier for positioning the storage position of a target medical image file and sends the routing identifier to the routing forwarding module; and the routing forwarding module queries a mapping relationship between the medical image file and the storage node and / or the storage hierarchy based on the routing identifier, determines a first storage node and forwards the request, so that the first storage node returns a target medical image file. And the storage management module obtains the access statistical information, determines a target storage level and / or a target storage node, migrates the medical image file, and triggers updating of the mapping relation after migration is completed. Therefore, cross-node accurate positioning and unified retrieval are realized, positioning consistency is kept after file migration, and hierarchical storage management based on access conditions is supported.

The invention provides a satellite image fuzzy query method and system based on multi-dimensional vectorization indexing, and relates to the technical field of satellite image retrieval, the method comprises the following steps: mapping a structured query condition generated based on natural language query into a three-dimensional hierarchical index condition structured database to retrieve and output three-dimensional index metadata; and after the three-dimensional index result set is loaded according to the three-dimensional index metadata, space-time interaction visual output for generating the three-dimensional index result set is carried out by taking dynamic weight distribution as a sorting basis. The technical problems that in the prior art, satellite image high-response query cannot be carried out based on user fuzzy expression, so that the satellite image data query and calling efficiency is low, and the query result practicability is insufficient are solved. The technical effects that full-link closed-loop retrieval driven by natural languages is achieved, query flexibility is improved through intelligent mapping, efficient positioning is guaranteed through multi-dimensional indexing, the accuracy of dynamic sorting optimization results is guaranteed, and interaction friendliness is visually enhanced are achieved.

The invention relates to the technical field of tire manufacturing and detection, in particular to a tire appearance defect detection method and system based on a retrieval enhancement generation technology, and the method comprises the steps: collecting image data, and completing the preprocessing of the image data through an edge calculation end; the retrieval enhancement generation module is used for sequentially carrying out picture vectorization processing on the preprocessed data, carrying out vectorization retrieval in a historical defect vector library and then sending the data into a multi-modal large model through the Ethernet to complete data fusion and an image defect judgment result; and the retrieval enhancement generation module outputs a judgment result to the production management end and the edge calculation end, and the production management end archives the judgment result. Compared with the prior art, the detection automation and intelligence are realized, the detection accuracy and efficiency and the production line quality control capability are also remarkably improved, and the production efficiency is improved. The method is suitable for defect identification and quality evaluation tasks of tire appearance detection.

The system brings together patient data both clinical records and imaging studies from disparate sources to the user workstation or mobile device in real-time and on-demand. In order to do so, the system needs to establish application layer connectivity utilizing HL7 or FHIR and DICOM for imaging. Once a secure connection is established, the system is able to search and retrieve records and present it to end user.

The invention discloses a historical constraint-based virtual character dialogue generation method, which comprises the following steps of: acquiring multi-modal data of a user and preprocessing the multi-modal data to obtain a user coordinate and an instruction; based on the obtained user coordinates and instructions, historical events occurring near the coordinates and historical celebrity characters related to the historical events are retrieved through a virtual memory retrieval method fusing geographic space weights; inputting the retrieved historical events into system cue words, and generating candidate replies by a generation model according to the cue words; and verifying, feeding back and rewriting the candidate reply based on the historical facts, the historical celebrity characters and the standard words, and outputting a reply dialogue passing the verification. According to the method, the personality boundary is introduced, and the offset degree of the generated content is calculated by utilizing the personality vector, so that the problem of role collapse in the virtual role dialogue generation is solved.

The invention relates to the technical field of ocean information processing, in particular to a multi-source ocean live data comprehensive evaluation method and system, and the method comprises the steps: receiving satellite remote sensing data, buoy array data, shore-based radar data and ship terminal data, carrying out the time-space reference unified processing and abnormal value cleaning, and generating a structured data set; calculating a dynamic credibility weight based on a data source type, a real-time transmission delay rate and an environment interference intensity factor, and constructing a data set with the weight; an ocean live fusion data field is generated through a credibility-driven variation fusion algorithm; and comparing a fusion result with independent verification data, constructing a credibility error distribution diagram, identifying a high-error region, and reversely correcting a weight calculation parameter. According to the method, standardized fusion and quality closed-loop feedback of multi-source heterogeneous observation data are realized, the precision and reliability of a fusion result are improved, and the method is suitable for scenes of ocean dynamic modeling, situation analysis, data assimilation pretreatment and the like.

The invention provides an alignment method for territorial space planning multi-modal data, and belongs to the technical field of big data processing.The alignment method comprises the steps that a quadtree structure is adopted to segment a remote sensing image, a three-dimensional index is established, a graph segmentation algorithm is utilized to divide vector data space subgraphs, a space-time weight matrix fusing space weight, time weight and credibility weight is constructed, and the three-dimensional index is established; inputting the preprocessed multi-modal data into a multi-modal semantic fusion model comprising a residual neural network, a bidirectional encoder and a graph convolutional network to extract a unified semantic representation vector, identifying conflict data by calculating semantic similarity, constructing a rule priority directed graph, and calculating a rule importance score by adopting a random walk algorithm; and executing the conflict resolution rule according to the priority and outputting the aligned data set. The technical problem that efficient alignment of the multi-source heterogeneous territorial space planning data on the semantic level is difficult to realize is solved.

The invention relates to a multi-mode art material intelligent retrieval method and device, equipment and a medium. The method comprises the following steps: performing off-line feature extraction on an art material library image and constructing a multi-level style feature index; obtaining query data containing at least two modes of an image, a text and a sketch, and mapping each mode data to a unified style semantic space to generate a pseudo style attribute vector and a corresponding deterministic score; performing dynamic weight calculation and weighted fusion based on the vector and score of each modal to form a combined style query vector; finally, a retrieval result list is generated through similarity calculation and sorting of the combined style query vectors and the feature indexes. By adopting the method, fine-grained alignment and dynamic weight fusion of multi-modal query on the aspect of art styles can be realized, and the accuracy of art material style retrieval under complex mixed intentions is effectively improved.

The invention relates to the technical field of computer vision and geographic information, and particularly discloses a cross-view geographic positioning acceleration method based on semantic description, which comprises the following steps of: performing instruction fine tuning on an input query image and a database image by adopting a visual language model to generate natural language description; coding the natural language description into a low-dimensional semantic vector by utilizing a word embedding model; constructing a semantic keyword association graph based on a graph embedding technology, and fusing a general semantic knowledge base and a geographic domain ontology to construct a surface feature special semantic tree; screening candidate subsets according to a preset ground feature priority and a saliency detection result of the query image; extracting global features and local key point descriptors of the images in the candidate subsets by adopting a lightweight model; constructing a visual similarity calculation model based on the state space model, and modeling a feature sequence dependency relationship; and fusing the semantic matching score and the visual similarity, outputting a final matching result by adopting a weighted sorting strategy, and cooperatively accelerating according to the matching result in combination with a lightweight model.

The invention discloses an optimization method for improving knowledge base image data caching processing, a platform can dynamically adjust a caching strategy according to a data access mode and access time change by utilizing a self-adaptive caching strategy combined with access time change and through replacement between two levels of caching strategies, so that the hit rate of caching is improved, and the caching efficiency is improved. According to the method, the access to a back-end database is reduced, the effective utilization of cache resources is ensured, and the platform can respond to the change of a user access mode in real time by dynamically adjusting a cache strategy, so that smoother and more efficient online transaction experience is provided; wherein the first-level cache stores frequently-used and frequently-accessed data, it is ensured that the data can be rapidly accessed, the time for obtaining the data from a rear-end database is shortened, the response speed of the system is improved, meanwhile, the second-level cache serves as a supplement of the first-level cache, more kinds of data are stored, and the coverage rate and efficiency of the cache are further improved.

A network equipment identification method in augmented reality based on visual geometric structure registration, which utilizes a camera to acquire the pose of network equipment and constructs a complex geometric structure expressing the pose of individual network equipment and the geographical correlation among multiple network equipments, automatically identifies the network equipment appearing in the augmented reality picture through the depth registration of the geometric structure. The present application does not depend on the unique appearance, identification code, world coordinates and wireless signal of network equipment, and can simply, quickly and conveniently realize the identification of various wired and wireless network equipment.

The present disclosure relates to an anti-confusion factor based hash image retrieval method, which comprises: obtaining a query image, the query image comprising a reason factor and a confusion factor; inputting the query image into a trained hash network to obtain a hash code expressing the reason factor in the query image; calculating the similarity between the hash code of the query image and hash codes of a plurality of historical images, and taking the historical image corresponding to the hash code with the highest similarity as the image retrieval result. The anti-confusion factor based hash image retrieval method provided by the present disclosure trains a hash network, so that the hash network ignores the confusion factor and focuses on expressing the reason factor in the image in the process of generating a hash code, thereby generating an accurate hash code. Then, by calculating the similarity between the hash codes, an accurate image retrieval result is retrieved.

Computer software and computer-implemented method for preparing an electronic data package in connection with a damaged vehicle for submission to the vehicle owner's insurance company for settlement of a claim or for use by an Original Equipment Manufacturer to determine compliance with established repair requirements. A computer-readable medium for storing executable software for preparing the package for a damaged vehicle, a computer system including the executable computer software stored in the computer-readable medium for preparing the package for a damaged vehicle damage are also disclosed. An electronic date package for vehicle damage repair is prepared by the computer-implemented method by executing the computer software stored in the computer-readable medium of a computer system.

A wafer defect analysis device may obtain manufacturing process data related to a manufacturing process of a reference wafer, generate reference wafer image data based on reference information according to a type of a wafer and the manufacturing process data, update a database based on a plurality of reference feature vectors extracted from the reference wafer image data using an artificial intelligence model, perform similarity analysis between a target feature vector extracted from target wafer image data of a target wafer and the plurality of reference feature vectors included in the updated database, and analyze a defect type of the target wafer based on a result of the similarity analysis.

Systems and methods for natural disaster damage analysis. Aerial images are converted (710) into a set of property images. The property images are then clustered (720) using vector embedding. Clustering the property images includes classifying the property images into separate categories, determining a symmetric similarity between the property images in each category, and clustering the property images based on the similarity. A first artificial intelligence agent extracts (730) damage information from a set of representative members of the clustered property images, where the damage information includes damage level information and damage reasoning information. The damage information is then stored (740) in a datastore with at least two databases, where at least one of the databases stores damage reasoning information and at least one other one of the databases stores damage level information.

To provide a method, an apparatus, a device and a medium for generating an information card of an object.SOLUTION: A method includes: in response to receiving a page address of a page comprising a set of attributes of a target object, obtaining a set of page elements in the page; determining the set of attributes of the target object on the basis of the set of page elements; generating an information card of the target object on the basis of the set of attributes. With the exemplary implementation of the disclosure, only the page address pointing to the object needs to be input, and the information card can be automatically generated on the basis of the information in the page corresponding to the page address, thereby providing summary information of the object in a visual manner.SELECTED DRAWING: Figure 7

Disclosed in embodiments of the present disclosure are a seal library construction method, a seal retrieval method, a storage medium, and a terminal. The seal library construction method comprises: acquiring a seal image of a seal to be stored into a library, and extracting text information of said seal on the basis of the seal image; inputting the seal image into a preset feature extractor, and determining an image morphological feature of said seal outputted by the preset feature extractor on the basis of the seal image; and correspondingly storing unique identification information, the text information, and the image morphological feature of said seal into the seal library. As text information is one of the most important pieces of information of a seal, and an image morphological feature can explain detail information of the seal, when a seal to be stored into a library is stored into the library, the text information and the image morphological feature of said seal are extracted, and the two types of information of said seal are stored into the seal library, thereby improving the accuracy of retrieval results in application scenarios.