939results about "Still image data browsing/visualisation" patented technology

The invention relates to the technical field of agricultural knowledge base retrieval, and discloses an intelligent retrieval system for a knowledge base, which comprises an image preprocessing unit, an image adjusting unit, an image matching unit and a retrieval judgment unit, and is characterized in that a binary mask matrix is generated through image enhancement and pixel clustering, a modular entropy value is calculated in combination with parameters, and a basis is provided for feature extraction; multi-scale feature self-adaptive extraction is achieved through dynamic scale adjustment, feature distortion is avoided, feature points are evenly distributed through density dynamic adjustment and quality evaluation, high-quality feature points are screened, double screening of matching pairs is achieved by constructing a comprehensive evaluation mode, and the defects of an SIFT algorithm are overcome by dynamically adjusting a similarity threshold value and sorting. And the accuracy of image retrieval in a complex scene is improved.

Visual search in an operating system of a computing device can process and provide additional information on the content being provided for display. The computing device can include an operating system that includes a visual search interface that obtains and processes display data associated with content currently being provided for display. The visual search interface can generate display data based on the current content provided for display, process the display data with one or more on-device machine-learned models, and provide additional information to the user. The visual search interface may transmit data associated with the display data to perform additional data processing tasks. Application suggestions may be determined and provided based on the visual search data.

A method and apparatus for generating photorealistic synthetic images by receiving multiple forms and multiple instances of user input corresponding to a user's visual idea, executing an iterative image search to identify pre-existing images semantically aligned with the user's visual idea, and using an image synthesis deep learning model to generate at least one synthetic image based on the multiple forms and instances of user inputs.

The invention relates to an operation and maintenance decision-making system and method based on a large language model and a graph database, the system comprises an intelligent operation and maintenance platform, a large model layer and an operation and maintenance database, the intelligent operation and maintenance platform is connected with the large model layer and the operation and maintenance database, and the intelligent operation and maintenance platform is used for receiving a user query demand and sending the user query demand to the large model layer. After a task instruction is automatically generated, an operation and maintenance tool is called to execute query analysis operation, and an operation and maintenance processing result is correspondingly returned; the large model layer is used for providing various large model bases so as to correspondingly process task instructions output by the intelligent operation and maintenance platform; and the operation and maintenance database is used for storing the operation and maintenance topological relation data, the operation and maintenance historical event data and the operation and maintenance knowledge data so as to provide a data source for the intelligent operation and maintenance platform. Compared with the prior art, the method has the advantages that the query result can be quickly and accurately obtained, the component fault influence can be determined, the historical operation and maintenance event can be queried and matched, and the operation and maintenance decision efficiency and accuracy are improved.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for garment virtual try-ons. This may be used, for example, in online shopping or other virtual try-on applications. Various aspects may include receiving an input image of a consumer and a selection for a target garment for try-on. Aspects may also include generating a three-dimensional (3D) body model of the consumer. Aspects may also include generating a masked image by masking a garment from the input image and segmenting the 3D body model of the consumer to fit the masked image and a 3D garment model. Aspects may also include draping the 3D body model of the consumer with the target garment and providing, to the client device, a two-dimensional (2D) rendering of the consumer in the target garment.

The invention relates to the field of data visualization, in particular to a visual scheduling method and system for a scientific and technological achievement evaluation system. The method comprises the following steps: identifying system access behavior data of a user; performing attention hotspot field prediction on system access behavior data of the user, performing deep personalized demand evolution, and constructing a personalized scientific and technological achievement demand graph; real-time data flow matching retrieval is carried out according to the personalized scientific and technological achievement demand graph, semantic feature analysis is carried out, and deep semantic features of each text item and visual semantic features of each image and table item are extracted; and performing dynamic clustering processing according to the deep semantic features of each text item and the visual semantic features of each image and table item, and performing multi-dimensional scientific and technological achievement item aggregation to construct a scientific and technological achievement display library. According to the invention, comprehensive, dynamic, accurate and personalized scientific and technological achievement evaluation visualization is realized.

The invention discloses a customs intelligent specimen cabinet monitoring system, relates to the technical field of specimen cabinet monitoring, and aims to solve the problems that the monitoring strength of an existing specimen cabinet is reduced, and abnormality checking cannot be carried out in time. According to the invention, the most suitable transmission channel is flexibly selected through different transmission requirements and environmental conditions, the adaptability and flexibility of the system are enhanced, the feature extraction of the environmental monitoring data covers the monitoring parameters of each sensor, and the comprehensive monitoring of environmental factors is ensured. The monitoring of real-time video data provides intuitive visual information, so that workers can intuitively know the real-time condition in the specimen cabinet, manual intervention is reduced through automatic detection, recognition and alarming, the automation and intelligence level of the monitoring system is improved, and the monitoring efficiency is improved through automatic data classification, visual display and anomaly analysis. And the intelligent level of the customs intelligent specimen cabinet monitoring system is improved.

Visual search in an operating system of a computing device can process and provide additional information on the content being provided for display. The computing device can include an operating system that includes a visual search interface that obtains and processes display data associated with content currently being provided for display. The visual search interface can generate display data based on the current content provided for display, process the display data with one or more on-device machine-learned models, and provide additional information to the user. The visual search interface may transmit data associated with the display data to perform additional data processing tasks. Application suggestions may be determined and provided based on the visual search data.

The invention is suitable for the technical field of data processing, and provides a three-dimensional scene data loading and displaying method and electronic equipment. The method comprises the steps that to-be-processed three-dimensional scene data is spatially divided into data blocks of a plurality of precision levels, the number of the data blocks of each precision level is multiple, and all the data blocks can be independently stored and loaded; establishing a spatial index structure of all data blocks by adopting a spatial index technology; obtaining an operation applied to the interactive interface of the user side by a user, and determining a view range and a zoom level of the three-dimensional scene data needing to be loaded in the interactive interface according to the operation; and determining a target data block according to the zoom level, the view range and the spatial index structure, and sending the target data block to a user side for loading and displaying. According to the method, the data access and loading efficiency can be improved, the loading delay is reduced, and real-time rendering is ensured.

The embodiment of the invention discloses an information display method and device, equipment, a storage medium and a program product, and relates to the technical field of computers.The method comprises the steps that a three-dimensional model of a target object is rendered and displayed in a preset display area of a current page at a first rendering view angle; in response to the detected view angle conversion trigger event, obtaining event data corresponding to the view angle conversion trigger event; wherein the view angle conversion trigger event comprises a terminal posture change event of the current terminal and / or a body posture change event of the current user, the event data corresponding to the terminal posture change event comprises terminal posture data, and the event data corresponding to the body posture change event comprises body posture data; rendering and displaying the three-dimensional model of the target object at a second rendering view angle based on the event data; wherein the first rendering view angle is different from the second rendering view angle, and the effect that the rendering view angle of the three-dimensional model changes along with changes of the terminal posture and / or the body posture of the user is achieved.

The invention discloses a field plant data visual management system based on a grid storage architecture, relates to the technical field of data visualization, and improves the field plant inspection efficiency. The method comprises the following steps: establishing a plant data relation tree according to a plurality of pre-stored plant multi-source information data set, establishing a regional visual grid map according to various real-time data, traversing a target index condition in the plant data relation tree according to basic index information, randomly setting a plurality of initial detection grids in the regional visual grid map, and determining the target index condition according to the initial detection grids. The target index condition is matched with each initial detection grid, each initial detection grid is recorded as a target area grid according to a matching result, the basic index information is matched with an adjacent area grid of each target area grid, and then a shortest exploration driving route is divided in the area visualization grid map according to the matching result.

Image-based searching can provide enhanced search results compared to text-based searches. Techniques for generating images that can be used by search engines include generating an optimized image-model prompt using a language model from a text-based input. The optimized image-model prompt includes a more literal description of an item described by the text-based input. The optimized image-model prompt is provided to a language model that generates a photo-realistic image of the item. A search engine uses the photo-realistic image to identify and return search results.

The invention provides an after-batch stock land data management method and system. The method comprises the steps of designing an after-batch stock land management database structure, and constructing a land supply data graph layer, a batch land data graph layer, a batch land data graph layer, a batch unsupplied land data graph layer, an overdue working land data graph layer and an idle land data graph layer; collecting multi-source data, performing preprocessing, problem treatment and quality inspection, and generating standardized land supply data and land batch data; constructing a land supply and approval database, and comparing and updating the land supply and approval database with data of a natural resource department system; generating a batch of unsupplied land, an overdue working land and an idle land data graph layer through overlay analysis, and constructing a batch stock land database; automatically updating graph and attribute data based on data such as territorial change investigation and the like; the functions of automatic reminding, land use unit interaction and space query are executed; and carrying out visual rendering and display on the database data, and superposing and displaying the batch stock land and planning and remote sensing image data. According to the invention, the intensive land utilization supervision efficiency can be improved.

Apparatus for visualization within a three-dimensional (3D) model and methods used therein are described, wherein the apparatus includes a processor and a memory communicatively connected to the processor, wherein the memory includes instructions configuring the processor to receive a query image, extract neural network encodings from the received query image, query a synthetic image repository for at least a matching synthetic image, and display an estimated position and orientation within the 3D model, wherein the synthetic image repository includes a plurality of synthetic images and their extracted neural network encodings, each synthetic image therein corresponds to a slice extracted at a specific position and orientation in the 3D model, and querying the synthetic image repository includes comparing the extracted neural network encodings between the query image and synthetic images.

The invention discloses a data visualization-based carbon emission monitoring map drawing method, and relates to the field of carbon emission monitoring, and the method comprises the following steps: obtaining geographic data of a plant, carbon emission data of a plurality of monitoring points, and wind power data in the plant; determining an interpolation point of the plant area, and determining a plurality of adjacent monitoring points of the interpolation point from a plurality of monitoring points according to the interpolation point; determining a blocking coefficient between the interpolation point and the adjacent monitoring point according to geographic data of the factory; determining the carbon emission data of the interpolation point according to the blocking coefficient, the wind power data in the plant area and the carbon emission data of the adjacent monitoring point; and drawing a carbon emission monitoring map according to the carbon emission data of the interpolation point and the plurality of monitoring points. According to the method, the filling value of the carbon emission data of the non-monitoring point in the generated carbon emission monitoring map can be close to a real value, so that the accuracy of drawing the carbon emission thermodynamic diagram is improved.

The invention provides a molten steel transportation track playback method and device, electronic equipment and a medium, and the method comprises the steps: processing sample transportation data, extracting key transportation track information, and rapidly and accurately obtaining target track data through a preset query condition; the timestamp data provides a basis for the time sequence analysis of the track, each important node in the transportation process can be clearly reflected, the acquisition of the image data enables a user to check the state at a specific time point, the operability of the data is enhanced, track playback is performed by establishing a thread, the dynamic display of the transportation process can be realized, and the transportation efficiency is improved. And through graphical operation and abstract map display, the historical production condition can be backtracked more easily, and the user experience is better.

The invention provides a training method, a search method, a device and equipment for an image character search model, which are applied to the technical field of artificial intelligence, and the training method comprises the following steps: firstly, constructing a data set comprising a base image face image, a target image and a sample label; then, inputting the base image and the target image into an image character search model, extracting feature maps under different scales, and performing feature comparison to generate a similarity feature map; and outputting a face matching result by integrating the similarity feature maps of different scales. And adjusting model parameters according to the face matching result of each group of data by utilizing a preset loss function, and finally obtaining a trained image character search model. According to the method, feature maps of the base map face image and the target image are extracted under multiple scales and are compared, so that detail features of the face on base maps of different scenes can be captured more effectively, non-compliant human portraits can be quickly detected and accurately recognized in a complex background, and compliance of media content is ensured.

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 discloses a complex text image retrieval method and system based on a multi-modal large model thinking chain. The method comprises the following steps: S1, carrying out adaptive semantic disassembly; s2, reconstruction and optimization are carried out; s3, constructing a matching probability matrix; elements of the matching probability matrix represent probability scores of matching degrees between the candidate images and the matching texts; combining the matched text with the candidate image, and sending the combined image to a pre-training visual language model pair by pair to obtain a corresponding matching score; then a binary discriminant scoring mechanism is used to convert the matching score into a probability score that the cue word is' YES '; and S4, according to the matching probability matrix, calculating the matching degree between each candidate image and the original proposition, and selecting the candidate image with the highest matching degree as an image retrieval result. The invention aims to extract and optimize semantic features from complex text description by using a self-adaptive local deconstruction and global optimization method and a binary discriminant scoring mechanism guided by cue words, so as to improve the accuracy and generalization ability of image retrieval.

The invention relates to the field of cultural relic digital protection, and discloses a management system for safe storage and efficient display of digital cultural relic data, and the system comprises a data preprocessing module which is used for collecting 3D point cloud data of a cultural relic and carrying out the denoising processing, and generating sparse matrix data; the model generation module is used for generating a preliminary 3D model of the cultural relic based on the sparse matrix; the intelligent repairing module is used for automatically repairing the preliminary 3D model to generate a complete 3D model; the storage encryption module is used for performing homomorphic encryption and compression storage on the complete 3D model; the index retrieval module is used for constructing an index based on the encrypted model data and realizing efficient retrieval; and the display management module is used for realizing multi-resolution display of the model through wavelet decomposition and controlling the access permission according to the user permission matrix. According to the method, high-precision modeling, safe storage and efficient display of cultural relic data can be realized, and the requirements of digital protection and display of cultural relics are met.

A computing device displays, in a graphical user interface corresponding to a data visualization application, a dashboard having one or more data visualizations related to a data source. The device receives a user interaction with a first data visualization of the dashboard. The device compares the user interaction to a set of stored trigger actions and determines, based on the comparing, that the user interaction corresponds to a predefined trigger to initiate a workflow action to be executed by an external service, distinct from the data visualization application. In accordance with the determination, the device identifies parameters of a predefined action template corresponding to the workflow action. The device extracts a subset of data from the data source, corresponding to the parameters. The device maps the subset of data to the parameters of the action template and initiates execution of the external service.

The invention provides a cross-platform collaborative loading method for CAD drawings, and relates to the technical field of data processing.The cross-platform collaborative loading method comprises the steps that rasterization layering processing is conducted on an original CAD file on a central platform, and a multi-stage grid tile set is obtained; storing to a temporary storage unit by adopting a pyramid hierarchical index; acquiring an updated view state by monitoring a user interaction event in real time, and comparing the updated view state with the original CAD file to obtain view parameters; extracting a target grid tile set; converting into a neutral exchange format set; according to the format support features, scheduling the container format conversion service, and compatibly distributing the container format conversion service to M edge platforms; and performing synchronous rendering replacement of the cross-platform tile file according to the M role permissions. The technical problems that in the prior art, due to the fact that effective CAD file format compatibility processing is lacked, tedious data conversion needs to be carried out among all platforms, and then the accuracy and reliability of data are reduced are solved.

The present disclosure provides an image generation method and apparatus, a computer device, and a storage medium. The image generation method includes: displaying a target interface for performing intelligent image generation, the target interface displaying a plurality of style reference materials, and each style reference material including style indication information and a corresponding sample image; determining a target style reference material selected from the plurality of style reference materials by a user, and obtaining input information from the user in an image generation mode that is selected; and according to the input information in the image generation mode and the target style reference material, generating and displaying at least one target image.

The invention discloses a perspective analysis method and system based on multi-element space superposition, and belongs to the technical field of geographic information processing.The perspective analysis method comprises the steps that analysis range data input by a user is obtained, and the analysis range data is generated through map drawing or external vector file import; selecting at least two analysis object layers; performing spatial alignment, coordinate system conversion and attribute field standardization processing on the analysis range data and the analysis object layer; a parallel spatial indexing technology is adopted, all analysis object layers and analysis range data are superposed at a time, and a fine-divided result library is generated; storing a space unit ID and an original layer attribute field in the fine crushing result library; calculating a target field value according to the area proportion of the space unit based on a preset adjustment rule, and outputting the target field value to the space data file and the table file; generating a multi-dimensional statistical report according to user-defined dimensions and statistical indexes through a perspective analysis engine on the basis of the fine crushing result library; and outputting the fine space data file and the analysis report according to the filtering condition.

The embodiment of the invention provides a picture display method and a related device, and the method comprises the steps: firstly, storing thumbnails according to the arrangement order of the thumbnails in a thumbnail display interface when electronic equipment stores the thumbnails corresponding to shot or stored pictures; in this way, the electronic equipment has the capacity of inquiring and obtaining the thumbnails in batches. And then, when the electronic equipment displays the thumbnail display interface, the electronic equipment can query and obtain the thumbnails in batches. In the embodiment of the invention, the electronic equipment can splice the plurality of obtained thumbnails to obtain the spliced thumbnail, and then the electronic equipment can display the spliced thumbnail through the view control. Through the picture display method provided by the invention, the performance and the frame rate of loading and displaying a large number of thumbnails by the electronic equipment can be improved, so that the problems of white blocks and lagging in the process of browsing a large number of thumbnails by a user can be avoided or reduced.

The embodiment of the invention provides an interface image processing method, electronic equipment and a storage medium, relates to the technical field of image processing, and can solve the problem that picture content cannot be displayed in time in a rapid page scrolling process. The method comprises a wrong frame processing flow, and the wrong frame processing flow comprises the following steps: in an nth frame, obtaining a picture index position requested by an input event of the nth frame, decoding a picture corresponding to the picture index position requested by the input event of the nth frame, and displaying an image of an (n-1) th frame, the image of the (n-1) th frame comprises a picture corresponding to the picture index position requested by the input event of the (n-1) th frame; in the (n + a) th frame, a picture index position requested by the input event of the (n + a) th frame is obtained, a picture corresponding to the picture index position requested by the input event of the (n + a) th frame is decoded, an image of the nth frame is displayed, the image of the nth frame comprises the picture corresponding to the picture index position requested by the input event of the nth frame, and a is an integer larger than or equal to 1.

According to the construction scheme multi-modal retrieval enhancement generation method and system based on the large model, intelligent scheme writing support is provided for constructors through a natural language processing technology by means of mass building industry data and knowledge, and the construction efficiency is improved. Comprising but not limited to the steps of assisting constructors in compiling a construction scheme, providing real-time answers to problems possibly encountered in the construction process, providing optimization suggestions according to project characteristics and the like; through the application of the large model, the working efficiency of constructors can be greatly improved, the waste of human resources is reduced, and the accuracy and feasibility of a construction scheme are ensured. Besides, the model can be continuously learned and updated, and the ability of assisting in compiling question answering is continuously optimized along with the accumulation of project experience, so that the model is more widely applied to each link in the building industry in the future.

A communication terminal includes a reception unit for receiving image information acquired by rendering a web page, a display unit for displaying an image based on the image information, and a control unit for differentiating the image to be displayed between a case where the display unit displays the image after display of the image is abnormally terminated and a case where the display unit displays the image in normal startup.

A data processing system implements receiving an image and a natural language prompt input by a user requesting that an application generate an digital picture frame for the image; analyzing the prompt using a key-phrase extraction unit to extract one or more key phrases from the prompt that describe a topic of the frame to be generated for the image; providing the one or more key phrases as an input to a retrieval engine; analyzing the one or more key phrases with the retrieval engine to identify a set of candidate frame images from among a plurality of frame images in a labeled frame images datastore; analyzing the set of candidate frame images using an image placement unit to obtain a set of framed images based on the image and the candidate frame images; and presenting the set of framed images on a user interface of the application.

A system may receive, from a client device, a query requesting quality information of a target device. The system may access a set of data records associated with the target device, pre-process the set of data records for extracting raw data associated with the target device from the set of data records, and convert the pre-processed data to normalized data using a first large language model (LLM). The system may apply a second LLM to the normalized data for generating an output result, which includes the requested quality information of the target device. Applying the second LLM may include: retrieving contextual information related to the target device; generating a prompt to the second LLM, the prompt comprising at least the normalized data, the retrieved contextual information, and the query requesting quality information of the target device; and providing the generated prompt to the second LLM to receive the output result.