507results about "Still image data browsing/visualisation" patented technology

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 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 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 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.

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.

The embodiment of the invention discloses a picture display method, electronic equipment and a computer readable storage medium, in the method, the electronic equipment responds to a target operation used for uploading a picture, and target information related to interface content of an application program is obtained; according to the first picture number and the target information, a target candidate picture set of each target element is obtained from the picture set, the target elements are determined according to the target information, the target candidate picture set comprises at least one target candidate picture, and the total number of the target candidate pictures of each target element is smaller than or equal to the first picture number; the first picture number is the number of pictures capable of being displayed on a first screen interface of the picture selection interface; and displaying the target candidate picture of each target element on the first screen interface. Thus, the user can obtain the pictures of the multiple target elements on the first screen interface, the pictures of the target elements do not need to be obtained through page turning, and the convenience of selecting the pictures by the user is improved.

The invention provides an image retrieval method and device based on multi-dimensional feature fusion and a storage medium, and relates to the technical field of image retrieval. The method comprises the following steps: importing an image to be retrieved, and performing multi-dimensional feature extraction processing on the image to be retrieved to obtain a plurality of dimensional features; performing feature fusion on the multiple dimension features to obtain an image feature representation vector; and performing image retrieval based on the similarity between the image feature representation vector and an image feature vector in a preset database, and outputting an image with relatively high similarity as a retrieval result. According to the method, the essential features of the image are captured from different angles through multi-dimensional feature extraction, the limitation of a single feature is avoided, the features are more comprehensive and richer, a foundation is laid for retrieval, and the method can be suitable for various image retrieval scenes and has a good effect on retrieval of various images.

This application relates to the field of picture processing, and provides a method and an apparatus for generating a memory video, and an electronic device. Through a first operation of a user on a first picture, the electronic device displays a second display interface including a memory entry area, and through a second operation of the user on the memory entry area, the electronic device searches for pictures matching at least one character of the first picture, to finally generate a first memory video dedicated to the at least one character. In this way, through the first display interface and the first operation, a condition of actively triggering a memory function is friendly provided for the user, and through the second display interface and the second operation, a condition of generating the memory function is friendly provided for the user, so that the user can perform, based on a requirement of the user, an operation on pictures of characters that the user is interested in, to generate the memory video, so as to meet an actual requirement of the user, thereby better improving user experience.

The invention provides an image batch processing method and system, and relates to the technical field of image processing. The image processing plug-in selects a small number of to-be-processed images from a plurality of to-be-processed images corresponding to a target experiment as parameter adjusting images to be loaded into the image processing plug-in based on experiment configuration information set by a user on the cloud platform for the target experiment, and generates processing result previews of the parameter adjusting images under different image processing parameters; uploading image processing standard parameters confirmed by the user based on the processing result preview to the cloud platform; and the cloud platform performs batch processing on the plurality of to-be-processed images according to the acquired image processing standard parameters to obtain a batch processing result. In the image processing plug-in, only a small number of images are needed for parameter adjustment, and image preview effects under different parameters can be provided, so that unified parameters are determined in a WYSIWYG mode and uploaded to a cloud platform for multi-image batch processing, and the processing efficiency of large-batch images and the reliability of experimental results are improved.

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 discloses a story visualization method based on a graph neural network and adaptive attention, relates to the technical field of image generation, and aims to solve the problems that an existing story visualization method is insufficient in role consistency maintenance and cannot generate high-quality images. According to the method, a role attribute embedding matrix and a role attribute correlation matrix are constructed, role attribute node representation is continuously updated through an information transmission mechanism of the graph convolutional neural network, and finally obtained role attributes based on the graph convolutional neural network are used as supplementary information of roles in a story text, so that the consistency of the roles in a generated image sequence is better kept. Moreover, a gating mechanism is introduced when the attention between the modals is calculated, and is used for dynamically filtering redundant information. Therefore, high-quality images can be generated.

The present application provides an image display method and apparatus, an electronic device, and a storage medium. The method comprises: acquiring a color lookup table, the color lookup table being a mapping relationship, which is learned by a neural network model, between an original image and a target image, the brightness of the target image being lower than the brightness of the original image, and the difference value between the contrast of the target image and the contrast of the original image being smaller than a target threshold; and on the basis of the color lookup table, performing mapping processing on an image to be displayed, so as to obtain a displayed image. According to the method, the brightness of the displayed image is reduced, and the difference value between the contrast of the displayed image and the contrast of the image to be displayed is smaller than the target threshold; moreover, the brightness reduction of the displayed image reduces the power consumption, and the difference value between the contrast of the displayed image and the contrast of the image to be displayed is smaller than the target threshold, so that the quality of the displayed image is ensured, thereby realizing low-power-consumption and high-quality image display.

The invention relates to a content generation method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: displaying a first interface, in which an input box, a content generation control and a plurality of dimension tags are displayed; the plurality of dimension labels are respectively used for prompting a user to input prompt information for describing the to-be-generated content from different feature dimensions; in response to a trigger operation on the first interface, displaying at least one piece of target prompt information in the input box; in response to a triggering operation on the content generation control, a second interface is displayed, the second interface displays at least one piece of target content and the at least one piece of target prompt information, and the at least one piece of target content is generated based on the at least one piece of target prompt information.

An electronic device includes memory storing instructions; and at least one processor, wherein the instructions, when executed, cause the electronic device to receive an input prompt; identify feature information in a first portion of a first generated image based on the input prompt; obtain a modified prompt by modifying the input prompt based on the feature information; obtain candidate images of a first image quality corresponding to the modified prompt using a first generative artificial intelligence (AI) model; display a user interface (UI) including the candidate images via a display; and based on a selected candidate image being identified from among the candidate images, obtain a second generated image of a second image quality corresponding to the selected candidate image, wherein a second image quality parameter of the second generated image is higher than a first image quality parameter of the first generated image.

The invention discloses a laser-point-cloud-guided tunnel multi-view area-array camera distribution map generation method and system, and the method comprises the steps: carrying out the calculation of a spatial mapping relation between a synchronously collected multi-view image and corresponding laser radar point cloud data based on the calibration parameters of a camera and a radar; geometric correction is carried out on the original image, and brightness adaptive equalization preprocessing is carried out on the corrected image; carrying out image feature point extraction and matching on the ROI of the image based on a deep learning model; recording an image matching relationship in a metadata form and creating an index; and based on the constructed image matching relationship metadata and indexes, realizing rapid generation of a panoramic distribution map. According to the method, the generated distribution image splicing error caused by factors such as uneven image brightness and perspective distortion can be relieved; large-scale image data matching and fusion based on adjacent image coincidence ROI constraint significantly improve efficiency; and based on a lightweight deep learning model, the reliability of extracting and matching the feature points of the low-illumination and weak-texture image of the tunnel scene is improved.

The invention relates to the technical field of intelligent analysis of drawings, in particular to an AI intelligent drawing auditing system for architectural drawings based on deep learning. The system comprises a drawing structured analysis module, a building component feature fusion module, a drawing violation drawing examination analysis module and a violation drawing examination optimization visual module, a drawing primitive data set, an attribute feature set and a standard rule base corresponding to a building engineering drawing can be obtained, and meanwhile a building component multi-dimensional feature matrix is generated; inputting the multi-dimensional feature matrix of the building component into a deep learning model for intelligent identification, compliance verification and drawing violation examination analysis, and generating a building drawing violation feature vector; based on the building drawing violation feature vector, violation point location aggregation analysis and reverse drawing checking optimization application are carried out, so that a corresponding building drawing intelligent drawing checking result is output, and a building drawing compliance thermal bitmap is displayed. According to the invention, intelligent and standardized review of the architectural engineering drawings can be realized, so that the drawing review efficiency of the architectural drawings can be improved.

An inspection system (10) inspects a textile machinery (100) based on captured images (P) of the textile machinery (100). The inspection system (10) includes: a classification unit (41) that detects a degree of abnormality in the textile machinery (100) based on the images (P) newly acquired from a camera (11) and classifies each image (P) into an appropriate group of groups based on the degree of abnormality; a storage unit (15) for storing the images (P); a counting unit (42) that counts the cumulative number of the images (P) of a target group and stores the cumulative number of the images (P) of the target group in the storage unit (15); and a determination unit (43) that determines whether the cumulative number of the images (P) of the target group stored in the storage unit (15) has reached an upper limit and determines whether to replace an image of the images (P) stored in the storage unit (15) with the newly acquired image (P).

The invention discloses an architectural drawing management method and system based on multi-modal AI recognition, and relates to the technical field of data management, and the method comprises the steps: extracting drawing frame information of a drawing file through a preset image recognition large model when the drawing file is received; based on a preset field mapping relation, converting the drawing frame information into database fields and storing the database fields into a preset drawing database; when a query instruction is received, the query instruction is converted into a library query statement, and retrieval is performed in a preset drawing database based on the library query statement; and determining a target drawing file according to the retrieval result, and sending the target drawing file to a permission user corresponding to the query instruction. According to the method, three core technologies of dynamic drawing frame positioning, natural language processing and an intelligent workflow engine are fused, so that full-process digital reconstruction from drawing analysis and structured storage to intelligent retrieval and multi-user collaboration is realized, and the building drawing management efficiency is improved.

A system and method for creating and publishing augmented reality (AR) content using a mobile device and application. The method includes selecting a content theme, presenting associated content templates, receiving user input, and generating an AR content item. Metadata is created indicating AR content type, selected theme, and used template. The AR content item and metadata are published to a server for storage in a manner enabling retrieval and presentation via an AR device application. The system facilitates easy creation of AR content without requiring specialized AR development skills, allowing users to generate content using familiar mobile interfaces. The created content can be accessed and viewed through AR devices, providing an seamless workflow from content creation to AR presentation.

The invention relates to the field of engineering management, and particularly discloses a quality management system and method for engineering construction, and the method comprises the steps: firstly carrying out the preprocessing of a BIM model, and constructing a reference frame integrating visual features and spatial geometric information; when a problem image shot by a mobile terminal at a construction site is received, a computer vision and space calculation technology is introduced, a two-dimensional field image is analyzed into an accurate pose of a shooting camera in a three-dimensional BIM space, and sight line tracing is automatically performed in a BIM digital model based on the accurate pose. And intelligently inferring and retrieving candidate components which are highly matched with the perspective of the problem. And finally, on-site unstructured problem data and the unique identifier of the BIM component are firmly bound through lightweight interaction confirmation with the user, and a standardized structured problem record is obtained. Therefore, the problems of low manual positioning efficiency and unstable association can be solved, and the whole-process intelligent closed loop of quality problem data from acquisition to structured storage is realized.

This application relates to an automated building modeling method based on multimodal information and knowledge graphs. The method includes three key steps: first, a feature extraction and preprocessing process for modeling tasks is constructed for heterogeneous data such as drawings, text, and tables to ensure the accurate acquisition of key modeling parameters; second, a unified semantic framework is constructed based on the IFC standard, and the multimodal information knowledge graph is constructed with the help of the graph database Neo4j, realizing structured data management and semantic association modeling; finally, the semantic retrieval capability of the graph is combined with the IfcOpenShell programming interface to complete the automatic mapping of parameters and components and model generation, output IFC files that comply with industry standards, and realize the visualization of three-dimensional models. This method effectively improves the extraction integrity of multimodal data and the accuracy of model construction, providing new ideas for the automated construction and intelligent management of building information models.

The invention relates to the technical field of space-time visualization, in particular to a space-time rendering method and system for multi-source disaster situation adaptive fusion, and the method comprises the following steps: obtaining multi-source data sorting scheduling, aggregating space coordinates to generate mapping, identifying level change to switch primitives, and constructing a fusion rendering layer. According to the method, a priority path scheduling mechanism is introduced to ensure that an information calling sequence has dynamic adaptability, the accuracy of event expression is improved by synchronously binding a frame sequence number in a primitive expression process with a remarkably changed disaster situation level, and the visual identification degree of disaster situation evolution is enhanced by a dynamic marking strategy of a jump state primitive and a transient expression state; the screening and replacement of rendering primitives realize efficient filtering of differential expression based on significance threshold driving, realize perceptible expression of disaster change rhythm and real-time optimization and updating of expression objects, and avoid the problem of information shielding of traditional layer priority solidification. And the identification efficiency, the space positioning precision and the expression real-time performance of the dynamic disaster information are effectively improved.

The application discloses a cover picture generation method and device, equipment and a medium, and relates to the technical field of computers. The method comprises the following steps: obtaining a first candidate picture, the first candidate picture being a picture obtained by superimposing a plurality of layers; performing content element extraction on at least one layer of the plurality of layers, labeling the extracted content elements with material tags to obtain candidate materials, and storing the candidate materials in a material library; obtaining a target picture associated with to-be-recommended content, the target picture comprising a to-be-replaced element; determining target materials matching the to-be-recommended content from the material library based on a matching relationship between the content tags of the to-be-recommended content and the material tags of the candidate materials; and replacing the to-be-replaced element with the target materials in the target picture to obtain a cover picture corresponding to the to-be-recommended content. The elements in the image are replaced by the pre-generated materials, thereby improving the generation efficiency of the cover picture.

The invention discloses a storage method for improving mass spectrum data file loading rate, which utilizes the high performance of a computer system for reading continuous address data blocks, especially when a computer uses a solid state disk, the data preview response speed is improved at a second level or even a minute level, and the data access purpose of a user is combined, so that the mass spectrum data file loading rate is improved. Data generated in the operation process of the atmospheric aerosol mass spectrum are divided into one-dimensional data sets according to a graph to be previewed by a user, the one-dimensional data sets are combined into a data set according to an observation purpose, and the data are compressed and then stored. During interface display, all data options are provided for a user firstly, and after the user confirms selection, corresponding data are loaded from a data file to be displayed.

The invention discloses a picture loading method and device, equipment, a storage medium and a computer program product, and the method comprises the steps: responding to a preview request of a client for a to-be-loaded picture, obtaining the size of a current display window of the client and the position information of the to-be-loaded picture, and determining an initial fragment of the to-be-loaded picture currently displayed by the client; determining a corresponding next-level target fragment according to the initial fragment; according to the position information of the target fragments, the average feature number and the size of the current display window, calculating a loading weight of each target fragment; and according to the loading weight of each target fragment, loading each target fragment on the client in sequence for display. According to the method, multi-fragment loading display is added, loading of the ultrahigh-resolution picture is supported, the picture fragments are optimized, the granularity of preview is refined, the weights of the loaded fragments are determined according to the image features, the preview experience of a key area is effectively improved, and the loading speed of the fragments which a user is interested in is increased.

A patent drawing code recognition method according to one embodiment of the present invention may include the steps of: learning a plurality of patent drawing samples to construct a drawing code position recognition model and a drawing code recognition model; inputting a patent drawing to be recognized as a drawing code; recognizing the position of the drawing code included in the patent drawing using the drawing code position recognition model; cutting out the drawing code at the recognized position from the patent drawing as an image fragment; and recognizing the drawing code included in the image fragment using the drawing code recognition model.

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