4results about How to "Reduce coding time" patented technology

This application discloses a coding-based polynomial commitment method suitable for blockchain scaling, which eliminates the need for trusted initialization and improves prover efficiency by reducing coding time. The polynomial commitment method specifically performs the following operations: A parameter generation algorithm takes security parameters and the number of polynomial variables as input and outputs a set of common parameters; the prover executes the polynomial commitment algorithm to commit to the target polynomial, taking the coefficients of the target polynomial and the common parameters as input and outputting the commitment value; a polynomial commitment opening algorithm ensures that the verifier is convinced that the target polynomial is correctly assigned at a certain set of points. The polynomial commitment opening algorithm is an interactive proof protocol involving provers and verifiers, taking the coefficients of the target polynomial as input to the prover, and the common parameters, commitment value, polynomial assignment points, and the assignment result of the target polynomial as common input to both the prover and verifier. The verifier outputs either "accept" or "reject".

The application discloses a video coding method, a video decoding method and related devices. The video coding method comprises: coding a video to obtain coded data; adding a preset syntax in the coded data to obtain a video bitstream, different values of the preset syntax being used to indicate whether a knowledge image is used for display, and / or whether a same content frame of the knowledge image is encoded by using a skip mode compulsorily, the knowledge image and the same content frame corresponding to the same original image content. The application can reduce coding delay.

This invention relates to a desktop image acquisition and encoding method and apparatus, belonging to the field of cloud desktop technology. The specific technical solution is as follows: An independent acquisition and encoding thread is created; within the acquisition and encoding thread, the pre-configuration of the graphics card for acquisition and encoding is completed; within the acquisition and encoding thread, a cyclic acquisition and encoding process is started, sequentially executing acquisition parameter configuration, calling the graphics card acquisition interface to complete desktop image acquisition, acquisition result processing, image resource registration to the graphics card encoder, calling the graphics card encoding interface to complete image encoding, encoding result processing, and bitstream extraction and transmission operations; after the acquisition and encoding task is completed, the cyclic acquisition and encoding process is terminated, the acquisition session and encoder session are destroyed, the corresponding resources are released, and the acquisition and encoding thread is reclaimed. This disclosure can improve the desktop rendering frame rate and image acquisition frame rate.

The application discloses a VVC intraframe coding division method based on LightGBM, and has the characteristics that the coding features of a CU to be divided are acquired; the rate-distortion cost of other division modes of the CU to be divided is acquired; the coding features of the CU to be divided are input into a horizontal LightGBM model and a vertical LightGBM model which have been trained in advance to obtain a horizontal prediction value and a vertical prediction value; if the horizontal prediction value or the vertical prediction value is less than a preset threshold, the current division mode is skipped; if the horizontal prediction value or the vertical prediction value is greater than or equal to the preset threshold, the division mode with the minimum rate-distortion cost is selected as the optimal division mode of the CU to be divided; and the advantage is that the horizontal LightGBM model and the vertical LightGBM model are used to predict the CU to be divided, and whether the coding unit needs to be horizontally or vertically divided in a ternary tree is judged through the horizontal prediction value and the vertical prediction value, so that the rate-distortion cost calculation process of the horizontal or vertical division mode of the ternary tree in the coding process is skipped, and the coding speed is improved.