10 results about "Desktop Video" patented technology

The invention relates to the technical field of computer graphics, in particular to a cross-platform rendering method under a hybrid architecture, which comprises the following steps of: splitting an Android current frame command into a gazing area and a peripheral area by using eye movement coordinates, generating difference, mapping along with resources, packaging verification information into an incremental packet, and writing the incremental packet into a desktop video memory through a one-way bus; the desktop side reconstructs a gaze area command after verification, distills and simplifies a peripheral area shader, generates a first command buffer and a second command buffer, and synchronously submits the first command buffer and the second command buffer with timeline semaphore; after the graphics processor completes the two buffers, if the deviation between the actual state of the window and the prediction matrix exceeds a threshold value, laplacian is solved in a slice element to correct the texture in real time; and when continuous packet lacking occurs, only super-resolution frame supplementation is carried out on the gazing area, and finally, a composite frame is output and adjustment information is written in.

The invention provides a cloud desktop video performance testing method and system, and relates to the technical field of computer software testing. Through full-process automatic execution of resolution traversal, video generation, recording and frame rate analysis, the problems of low efficiency, data deviation and poor multi-resolution test repeatability caused by dependence on manual operation in the prior art are effectively solved, and the method has the advantages of realizing automatic test of cloud desktop video performance and improving the test efficiency. The test efficiency and the result accuracy are obviously improved; by automatically traversing different resolutions and executing a standardized test process, the comprehensiveness and repeatability of the test are ensured; and errors caused by manual operation are effectively avoided.

The present application relates to the technical field of computer graphics, and especially relates to a cross-platform rendering method under a hybrid architecture, which comprises the following steps: using eye movement coordinates to split an Android current frame command into a fixation area and a peripheral area, generating a difference and mapping with resources, encapsulating check information into an incremental package, and writing the incremental package into desktop video memory through a one-way bus; after checking on the desktop side, reconstructing the fixation area command, distilling and simplifying the peripheral area shader, generating a first and a second command buffer, and synchronously submitting the first and the second command buffer through a timeline semaphore; after the graphic processing unit completes the two buffers, if the actual state of the window deviates from the prediction matrix by more than a threshold value, then real-time correction of texture is performed in the pixel by solving Laplace; when there are continuous missing packages, only the fixation area is super-sampled and a frame is supplemented, and finally a synthesized frame is output and adjustment information is written.

The application relates to a kind of intelligent network connection truck platoon lead vehicle driver driving ability evaluation methods in typical scene, comprising: obtaining the running state data of truck platoon in typical scene;Construction platoon running characteristic index system, determine the operation behavior threshold of lead vehicle driver based on the best running state in the running state data;Based on the operation behavior threshold, carry out desktop video experiment, obtain experimental raw data;Based on the experimental raw data, build the relationship model between driver driving ability and operation behavior;Based on the operation behavior threshold, the relationship model is solved reversely, and the quantitative evaluation result of lead vehicle driver driving ability is obtained.The application provides a set of systematic and quantifiable evaluation method for intelligent network connection truck platoon lead vehicle driver driving ability evaluation.

This invention relates to the field of auditing systems, and particularly to a user desktop behavior auditing method and system based on YOLO and LSTM. The method includes: acquiring desktop video data to create a training dataset; training a user desktop behavior auditing model using the data-augmented dataset; acquiring real-time video data and analyzing the real-time video data frame by frame using the trained user desktop behavior auditing model; predicting user operation behavior trends based on the analyzed real-time video data; validating the prediction results; and converting the validated prediction results into structured logs. This invention uses a Long Short-Term Memory network to model time-series data and combines it with the YOLOv8 deep learning framework, enabling the system to identify the specific software used by the user and infer the type of task performed by the user, thereby significantly improving the accuracy of behavior recognition and auditing efficiency.

The application provides a parallel coding method and system based on a desktop video region of interest, comprising: judging whether each frame image in a desktop video sequence is a background frame; if yes, encoding a panorama of the frame to generate a panorama code stream; if not, taking a background frame closest in time before the frame as a reference frame, and dividing a region of interest according to a mouse dragging information and other methods; parallel encoding all the regions of interest to generate a region of interest code stream; packing the panorama code stream or the region of interest code stream, adding labels and time stamps, and obtaining an output code stream; judging the type of the output code stream according to the labels, if the output code stream is a panorama code stream, decoding to obtain a panorama picture; if the output code stream is a region of interest code stream, covering the decoded region of interest picture on a panorama picture of the corresponding reference frame to obtain a reconstructed picture; and taking the panorama picture or the reconstructed picture as an output picture. The method provided by the application can improve the video coding speed, reduce the coding calculation amount and transmission bandwidth.

The application discloses a cloud desktop direct input system and method based on an independent cellular network. The system comprises: a smart mouse terminal, which is internally provided with a 5G / 6G module and an eSIM, directly accesses the Internet through a cellular network as an independent Internet of Things device, and does not depend on any local relay device; a cloud input agent service, which receives and executes mouse instructions; a display control terminal, which is physically separated and receives display cloud desktop video streams; and a two-dimensional code scanning initialization binding method. The mouse terminal fuses optical sensor and IMU data through linear Kalman filtering, dynamically predicts cursor displacement based on network delay, and directly reaches the cloud through a self-defined 32-byte low-delay protocol. Prototype machine testing shows that the end-to-end delay is reduced by 51.2% in the 5G SA mode. Users only need to carry a smart mouse, can access a personal cloud desktop seamlessly at any location in the world with the help of any display device through one-time scanning, and are suitable for mobile office, cloud gaming, remote technical support and other scenes.

1. Name of the product in this design: Desktop Video Interactive Terminal. 2. Purpose of this design: For handling banking business. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present invention relates to the technical field of emergency command, and provides an emergency command and dispatch system based on multi-source integrated communication. The system comprises: an integrated communication system platform; an IP intercom and integrated dispatch platform, which is communicationally connected to the integrated communication system platform and is used for sending intercom information or a dispatch instruction to a desktop video terminal and a vehicle-mounted terminal by means of the integrated communication system platform; the desktop video terminal, which is used for sending video live streaming information to the IP intercom and integrated dispatch platform, the vehicle-mounted terminal and a command terminal; the vehicle-mounted terminal, which is used for receiving and displaying the intercom information, the dispatch instruction or the video live streaming information; and the command terminal, which is used for sending the intercom information or the dispatch instruction to the vehicle-mounted terminal. The emergency command and dispatch system provided by the present invention can realize collaborative command among different personnel at different locations, and solves the technical problems of low emergency command collaboration efficiency and low emergency response capability in existing traffic emergency command and dispatch platforms.

The application discloses a desktop sharing method and device, electronic equipment and a readable storage medium, and belongs to the technical field of computers. The method comprises the following steps: receiving desktop video stream data sent by at least one first cloud client, wherein each desktop video stream data carries a connection identifier; classifying at least one desktop video stream data according to the connection identifier; obtaining multi-path desktop video stream data corresponding to each connection identifier by integrating at least one desktop video stream data under the same connection identifier; for each multi-path desktop video stream data, obtaining a target cloud client corresponding to a target connection identifier from a preset connection set, and sharing the desktop video stream data to each target cloud client respectively.