82 results about "View based" patented technology

This disclosure provides a method, apparatus, electronic device, and medium for object annotation at accident scenes. The method includes: determining a target top view based on point cloud data of the target accident scene; identifying the distribution of at least one object included in the target accident scene within the target top view, and determining at least one reference element in the target top view; determining distance information of the accident key point relative to the at least one reference element based on the image coordinates of accident key points in the object and the image coordinates of the at least one reference element; and annotating the accident key point based on the at least one distance information corresponding to the accident key point. This disclosure enables automatic annotation of target accident scenes, avoiding drawing errors caused by manual drawing and annotation, and solving the problem that detailed annotation of accident scenes cannot be performed solely based on point cloud data.

This application provides a method and apparatus for establishing and displaying a high-order chromatin interaction index, relating to the field of electrical data processing. The method includes: constructing a single data container file using independently locatable data blocks as basic writing units, and writing interaction analysis data units into the single data container file; constructing an embedded index library bound to the single data container file; the embedded index library includes a first mapping relationship and a second mapping relationship; when the request stage is a region query stage, generating a summary view based on the window range of the browsing request and the first mapping relationship; when the request stage is an evidence drill-down stage, generating hyperedge evidence based on the read segment identifier in the browsing request and the second mapping relationship; and displaying the summary view or hyperedge evidence as the corresponding browsing request result to the target user. This application solves the problem of lag in existing high-order chromatin interaction index systems during user interactive browsing.

A system and method are provided for automatically detecting a two-dimensional standard view in a transesophageal ultrasound image. The method includes acquiring a first ultrasound image at a first depth and a first full-plane angle. The first ultrasound image corresponds to a first standard view. The first full-plane angle is an angle other than zero (0) degrees. The method includes adjusting the first full-plane angle to a second full-plane angle of 0 degrees. The method includes acquiring a second ultrasound image at the first depth and the second full-plane angle. The method includes automatically analyzing the second ultrasound image to identify a second standard view corresponding to the second full-plane angle. The method includes automatically determining the first standard view based on the second standard view and the first full-plane angle. The method includes causing a display system to display the first ultrasound image having a first identifier of the first standard view.

This application provides a display device and a view display method. The method, in response to a display command instructing the display of a target view on a second display, obtains the display resolution of the second display and calculates view parameters based on the display resolution. The second display is an external display connected to the display device. The display resolution is obtained based on the display identification identifier of the second display. The view parameters are used to set the display ratio of the target view on the second user interface, and the display ratio of the target view on the second user interface is associated with the display ratio of the target view on the first user interface. The method then creates the target view based on the view parameters and adds the target view to the second user interface. This method can adjust the view parameters according to the resolution of the connected displays of different resolutions, solving the problem of different display ratios of views caused by different screen resolutions in a dual-screen system.

A method, system and product including obtaining a frame from a frame sensor of an Augmented Reality (AR) system comprising an AR device; executing a first skin on the frame or portion thereof to obtain a first overlay; executing a second skin on the frame or portion thereof to obtain a second overlay, wherein the first and second skins are configured to provide an augmented overlay to be used by the AR system in determining an AR view, wherein said executing the second skin is performed without providing the first overlay to the second skin; determining whether the second overlay can be utilized for providing the AR view; generating the AR view based on the first overlay and based on said determining whether the second overlay can be utilized for providing the AR view; and providing the AR view via the AR device.

The application discloses a three-dimensional Gaussian sputtering initialization method based on Fast3R, which performs Fast3R fast reasoning on an input image sequence under low resolution; calculates Anchor scores of each view based on the product combination of quality scores and mutual view coverage scores, takes Fast3R output as initialization, performs feature extraction and matching, triangulation to obtain sparse trajectory constraints, introduces dense consistency constraints based on point graph projection, constructs a joint geometric optimization model, and robustly iteratively solves camera external parameters and internal parameters. The QSP strategy is introduced, high-confidence and strong cross-view consistency point clouds are preferentially retained under uniform spatial voxel constraints, the point cloud size is controlled, and outlier and floating points are reduced, thereby providing high-integrity, high-precision and controllable-scale initialization for three-dimensional Gaussian sputtering. The sensitivity of Fast3R to the selection of the first frame is effectively reduced, the stability and point cloud quality of large-scale scene reconstruction are improved, and the 3DGS training convergence and rendering effect are improved under the premise of ensuring the initialization efficiency.

This application discloses a view editing method, device, storage medium, and program product, relating to the field of smart home / intelligent home technology. The view editing method includes: determining the target snapping position of the target object in the floor plan based on the movement position of the target object and the floor plan; the movement position is generated by the user triggering the movement of the target object in the view editing interface; the target object includes: a device model or a furniture model; obtaining a target space view based on the floor plan, the target snapping position, and the target object; in the target space view, the target object is displayed at the target snapping position of the floor plan; this method adopts a drag-and-drop editing method, which is simple to operate, improves editing efficiency, and effectively ensures the geometric accuracy of the target object's spatial placement and the rationality of the view layout through automatic snapping.

This application discloses a method, apparatus, electronic device, and medium for acquiring surveillance data. The method includes: if it is detected that a user has opened a target application on a terminal, then identifying the camera added to the target application; for the camera added to the target application, acquiring a first target camera that triggers an alarm event within a preset time period via a cloud server, and / or, selecting a second target camera from the cameras based on the user's historical viewing information of the camera's surveillance footage; and acquiring and pre-storing a data stream of the latest preset data volume from the target camera. This solution can predict the target camera that the user is likely to view based on alarm events and / or the user's historical viewing information of the camera, thereby pre-storing the target camera's data stream. When the user selects to view the camera's surveillance footage, it can respond quickly, improving the real-time performance of the surveillance footage and enhancing the user experience.

This disclosure provides a method and apparatus for drawing a vector map of an accident scene. The method includes: performing object recognition on a global top-view of a target accident scene to determine at least one object included in the target accident scene; symbolizing the at least one object in the global top-view to obtain at least one object symbol; determining at least one reference element based on the distribution of the at least one object in the global top-view; determining annotation information for at least one key accident point in the global top-view based on the at least one reference element; and obtaining a symbolized vector map of the scene with annotation information based on the annotation information of the at least one key accident point and the at least one object symbol. This disclosure enables the automatic drawing of a standard vector map of a target accident scene while automatically annotating the details of the accident scene.

This application discloses a synchronization method, apparatus, system, and first electronic device for a collaborative whiteboard. The method is applied to the first electronic device and includes: receiving vector data sent by the second electronic device through a first channel between the two devices, and drawing handwriting in a transparent top-level view based on the vector data; receiving visual data sent by the second electronic device through a second channel between the two devices, the visual data including image frames generated based on the screen content of the collaborative whiteboard; displaying the received visual data in a bottom-level view; and, in response to displaying the visual data in the bottom-level view, cleaning up handwriting related to the screen content in the transparent top-level view based on the visual data.

Vehicle, including: a large number of cameras configured to capture images of a vehicle's surroundings; a communication system wirelessly connected to a remote display; and a processor configured to: Assembling the images; Determine, via the communication system, a relative position of the remote display in relation to the vehicle; Determining a vehicle view based on the composite images and the determined relative position; and Transferring the vehicle's view to the remote display.

This invention belongs to the field of code vulnerability detection and provides a vulnerability detection method and system based on the fusion of multi-scale graph representation and instance awareness. The method includes: constructing a code attribute graph; constructing local dependency views and global dependency views based on the code attribute graph; processing the local dependency views and global dependency views using a trained dual-branch structure to obtain a first structural representation and a second structural representation; fusing the first structural representation and the second structural representation to obtain a target structural representation; performing code sequence semantic analysis on function-level code fragments to extract function-level semantic representations; dynamically aligning the function-level semantic representations with the target structural representations to obtain function-level fused feature representations; and performing vulnerability classification and detection based on the function-level fused feature representations to obtain vulnerability detection results. This invention can take into account local microstructural information, global long-range dependency information, and code sequence semantic information, improving the accuracy and robustness of vulnerability detection.

The invention discloses a panoramic imaging method and device, equipment and a medium, and relates to the technical field of automatic driving, and the method comprises the steps: carrying out the projection transformation of an original image collected by a vehicle camera, and generating an aerial view; determining the size of an adaptive target window according to the distance from each pixel to a central pixel in the aerial view, and performing optical flow estimation on each pixel in two adjacent frames of aerial views in the size of the target window based on vehicle motion information measured by an inertial measurement unit to obtain a dense optical flow field; extracting inner points from the dense optical flow field by using a preset improved RANSAC algorithm, and estimating global motion parameters based on an extracted inner point set; fusing the global motion parameters and motion parameters measured by the inertial measurement unit and the positioning system by using a Kalman filtering method to obtain fused motion parameters; and projecting the historical panoramic image to an aerial view coordinate system by using a homography matrix calculated based on fusion motion parameters, and splicing the historical panoramic image with the current aerial view to generate a new panoramic image.

The application discloses a control interaction method and device, electronic equipment, storage medium and program, which are applied to a mobile terminal page, the mobile terminal page at least includes a frozen area view and a filling area view, the frozen area view and the filling area view are obtained based on preset configurations for dividing a viewable area view of the mobile terminal page, and the method comprises the following steps: listening to input interaction of an input interaction control in the frozen area view to obtain a viewable area change event; determining a total view height according to event callback information of the viewable area change event; and updating a view display height of the filling area view based on the total view height. According to the application, the display height of the filling area is dynamically adjusted to change the page display effect, the problem that the soft keyboard shields the page view can be improved to the maximum extent, the influence of the total view height change on the frozen area view is reduced, the stability of the function in the frozen area view is improved, the use fluency of the application software is improved, and the use experience of the user is improved.

This disclosure provides a method, apparatus, device, and storage medium for displaying panels in groups. The method includes: grouping all panel models to be displayed in the current view into multiple model groups; arranging panel models within the same model group side-by-side on corresponding baselines at a preset scaling ratio; obtaining position information of the multiple model groups based on the arrangement result; in the case of overlapping model groups, offsetting target model groups in the overlapping model groups in a stacking manner to update the position information of the target model groups; and rendering and displaying the multiple model groups on the current view based on the position information of the multiple model groups. According to the solution of this disclosure, combining multiple models of the same type as a whole for scaling and adjustment ensures that the model legends are clearly displayed on the drawing, without mutual obstruction and with clearer positional relationships.

This invention discloses a batch recognition method for electrical secondary schematic diagrams, comprising: opening a CAD drawing and launching a plugin; selecting CAD basic element objects in the target area of ​​the drawing; extracting and removing objects outside the drawing frame area according to graphic and text elements; processing the drawing frame boundary; dividing the graphic elements within the drawing frame into sub-views according to their connection relationships and merging overlapping views; assigning text elements to corresponding views; recognizing terminal symbols composed of circles and lines and matching terminal names; displaying the recognition results in a tree structure and list, allowing users to edit them; and outputting a DB format file after confirmation. This invention achieves batch recognition of electrical secondary schematic diagrams by automatically extracting the drawing frame area and dividing independent views based on the connection relationships of graphic elements, eliminating the need for manual intervention; simultaneously, it uses the geometric features of circles and lines to accurately identify terminal symbols and automatically matches and annotates adjacent text, significantly improving recognition accuracy and error tolerance.

This invention discloses a method and apparatus for modeling outdoor static environments based on point cloud bird's-eye view. The method includes: acquiring outdoor static environment point cloud data; performing point cloud coordinate system transformation based on the acquired outdoor static environment point cloud data to obtain a point cloud under the vertical visual perspective of the monitoring area; generating a point cloud bird's-eye view based on the point cloud under the vertical visual perspective of the monitoring area; labeling the regional attributes in the point cloud bird's-eye view to obtain semantic information in the monitoring environment; and generating an outdoor static area model based on the semantic information. This invention is simple and efficient, realizing the extraction of dense environmental information from discrete point cloud information, efficiently extracting dynamic objects, and transforming disordered point cloud data into ordered point cloud data, making it more effective in empowering upper-layer applications. It can be widely applied in the field of point cloud data processing technology.

This invention relates to the field of relay protection technology for intelligent substations, and discloses a method, system, device, and medium for automatically constructing a relay protection business model and generating virtual circuits. The method includes: acquiring substation configuration files and primary system diagrams and performing data parsing to construct a unified data model; constructing a graph database model based on node type sets and edge relationship type sets to achieve node instantiation and relationship linking; automatically generating and completing virtual circuits using a two-stage strategy combining rule inference and intelligent graph neural network completion to obtain complete virtual circuit connection relationships; and visualizing the virtual circuit connection relationships, supporting hierarchical navigation and viewing based on voltage level, wiring method, and bay. This invention significantly reduces modeling time and error probability. The generated business model and its visualization provide a solid and reliable model foundation for subsequent protection logic verification, intelligent operation and maintenance, and digital twin applications.

This application provides a method, apparatus, electronic device, and storage medium for displaying a view of a target application. The method is applied to the field of view display. The target application includes a framework layer and a business layer. The framework layer is used to construct the view framework of the target application, and the business layer is used to handle the view business of the target application. The method includes: in the framework layer, receiving a view creation request corresponding to the target application from a host; creating a target host container based on the view creation request; receiving the target view created by the business layer, and loading the target view into the target host container to display the target view. This method can avoid deep coupling between the framework layer and the business layer of the target application, thereby improving the dynamic expansion capability of the view runtime.

This invention discloses a method and apparatus for plug-in-based extension of the graphical user interface (GUI) of a network video recorder. The method includes: constructing a GUI runtime framework, which defines a plug-in development specification based on the decoupling of view and model interaction; in response to plug-in loading, creating a dedicated intermediary proxy instance for the plug-in and establishing a metadata binding relationship between the GUI runtime framework and the plug-in; receiving the plug-in's interaction requests through the intermediary proxy instance and verifying and routing the interaction requests based on the metadata binding relationship and pre-defined access control rules; if the verification passes, forwarding the interaction request to the GUI runtime framework for processing to achieve functional extension of the plug-in. This invention achieves flexible, dynamic, and standardized extension of the GUI of a network video recorder while ensuring the stability of core business operations and resource security.

This disclosure provides a method, apparatus, device, and medium for standardized drawing of objects at accident scenes. The method includes: determining a target top view based on high-density point cloud data of the target accident scene; quickly and automatically acquiring the top view of the accident scene to provide a basis for subsequent drawing of target objects; identifying the shape and size of target objects in the target top view; determining an initial object symbol corresponding to the target object based on the shape of the target object; achieving unified management of object drawing by symbolizing the target object; adjusting the size of the initial object symbol according to the size of the target object to obtain the target symbol of the target object in the target top view; and adjusting the initial object symbol based on the size to match the size of the target object, thereby achieving accurate depiction of the target object based on objective data, ensuring the accuracy of the shape and size of the drawing elements, and realizing the standardization of drawing.

This invention discloses a multi-view few-sample Android malware classification method based on optimal guidance matching, belonging to the field of information security technology. The invention includes constructing multi-view grayscale images, training a backbone network, optimal guidance matching classification, and dynamic fusion of multiple views. First, the method extracts permissions, APIs, components, and intent features of the Android application to construct multi-view grayscale images. Then, it trains a backbone network that integrates attention mechanisms and self-supervised rotation prediction to extract discriminative features with geometric structure awareness. Valid guidance samples are identified through optimal guidance matching, and category similarity scores are calculated. Finally, adaptive weights are generated based on view confidence, and the multi-view scores are dynamically fused to complete the classification. This invention improves the accuracy and robustness of malware family classification in few-sample scenarios, reduces noise interference, and is suitable for rapid and accurate identification of malware.

The application discloses a medical image segmentation method and model based on dynamic layer-view-scale fusion, which comprises initial feature extraction on an input image to obtain an initial feature map, multi-round encoding iterative processing of the initial feature map in sequence to obtain encoding feature maps of various scales in sequence, self-adaptive scale calibration based on view arbitration on the encoding feature map output by the last round of encoding iteration in the encoding feature maps of various scales to obtain a feature map after self-adaptive receptive field calibration, multi-round decoding iterative processing of the feature map after self-adaptive receptive field calibration in sequence, weighting of the output after processing through a cross-scale attention gate to obtain decoding feature maps of various scales, convolution of the decoding feature map output by the last round of decoding iteration in the decoding feature maps of various scales through a prediction head to obtain a segmentation result, realization of pixel-level dynamic routing and self-adaptive receptive field calibration, and accurate alignment of feature representation and the diversity and heterogeneity of anatomical structures.

The present disclosure is directed to a method of generating real-time video content, performed by at least one processor. The method may include generating text content based on a broadcast outline, generating a first voice based on the text content, generating a first view based on at least one of the text content or the first voice, and transmitting a first video comprising the first voice and the first view in a real-time streaming manner.

This disclosure relates to the field of computer technology, specifically to a virtual road network generation method and apparatus, a computer-readable storage medium, and an electronic device. The method includes: responding to a main path input operation, setting a main path for a virtual scene region in a virtual region top view; emitting rays from virtual entrances into the virtual region top view based on the orientation of virtual entrances to set branch paths for the virtual scene region; and generating a virtual road network for the virtual scene region based on the main path, branch paths, and virtual objects. The technical solution of this disclosure can solve the problem of low efficiency in manually modeling scene routes.

This paper provides systems and methods for improving the visualization of events recorded by an asset management system. In one aspect, a priority index can be determined for the corresponding asset based on the events it has experienced. In another aspect, one or more graphical user interfaces (GUIs) can be generated by a computing device for navigating between different assets. The GUI allows the user to select from multiple navigation options for displaying assets and corresponding asset information. For example, the asset view may include views based on one or more of the following: an asset hierarchy within the fleet, a priority index, or a candidate list of assets based on the user's personal interests or the common interests of a group, referred to herein as a watchlist. The GUI may further allow the user to view an event summary and / or details about the event, such as alerts and case assignments, for the selected asset.

Embodiments of the present disclosure relate to methods, apparatuses, devices and storage media for interface interaction. The method presented herein includes: presenting a viewing interface of a first work, the first work comprising a set of media content; presenting target content associated with the first work in the viewing interface, the target content comprising a plurality of visual elements corresponding to a plurality of media content in the set of media content; and in response to receiving a first operation in the viewing interface, presenting a first media content in the set of media content in the viewing interface. In this way, embodiments of the present disclosure can support a user to view the set of media content corresponding to the target work more efficiently, and the target media content in the set of media content can be viewed based on a preset operation, thereby improving the interaction efficiency of the user.

The present application relates to the technical field of scene text recognition, and provides a scene text recognition pre-training method and system based on language perception. The scene text recognition method comprises the following steps: obtaining a guide view based on an obtained input image; segmenting the input image and the guide view respectively, and inputting the segmented images into a full connection layer in sequence to obtain input image embedding representation and guide view embedding representation; performing random mask on the input image embedding representation, inputting the image patches without mask into a first encoder to obtain first visible mark features and first CLS features; inputting the guide view embedding representation into a second encoder to obtain second visible mark features and second CLS features; inserting a learnable mask mark at a corresponding mask position based on the first visible mark features, and inputting the first visible mark features after mask insertion, the first CLS features, the second visible mark features and the second CLS features into a decoder to obtain a prediction result.

This application relates to an operator performance optimization method, apparatus, computer device, computer-readable storage medium, and computer program product. The method includes: acquiring the original operator code; executing the original operator code and acquiring performance indicator text data output during the execution of the original operator code; generating a graphical performance analysis view corresponding to the original operator code based on the performance indicator text data; acquiring images of the graphical performance analysis view based on performance bottleneck indicators; fusing and analyzing the performance indicator text data and performance indicator image data using a pre-set visual language model to obtain performance bottleneck diagnostic data for the original operator code; analyzing the performance bottleneck diagnostic data using multiple pre-set expert agents; and optimizing the original operator code based on code optimization suggestions. This method can improve the efficiency and effectiveness of code optimization.

This application relates to a method, apparatus, electronic device, and storage medium for generating materialized views. The method involves: filtering target query patterns from database query logs; generating candidate materialized view creation statements corresponding to the target query patterns; creating candidate materialized views based on these statements in a resource-isolated sandbox environment and quantitatively evaluating the candidate materialized views; deciding whether to approve and deploy the candidate materialized views; and conducting a health assessment of deployed materialized views, performing corresponding optimization operations based on the assessment results. This achieves automated and precise selection of high-value optimization targets, reducing reliance on senior experts. Quantitative evaluation of candidate materialized views ensures that deployed materialized views provide clear benefits. Furthermore, multi-dimensional health assessments of deployed materialized views automatically identify and eliminate inefficient materialized views, enabling continuous and automated optimization and recycling of computing and storage resources.