Video coding method and device, video decoding method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of video processing, and discloses a video coding method and device, a video decoding method and device, electronic equipment and a storage medium, relates to the artificial intelligence technology, and aims to reduce the decoding complexity and improve the filtering efficiency under the condition that video quality is hardly influenced or the video quality is not obviously reduced by performing video filtering by using a machine learning technology in artificial intelligence. The method comprises the following steps: obtaining a reconstructed video frame from coded data of the video frame, wherein the video frame comprises at least two blocks; performing filtering processing on the reconstructed video frame, and obtaining gains obtained after filtering processing of each block in the reconstructed video frame; according to the gain distribution of each block, determining a block which needs to be filtered when the coded data is decoded from each block; and sending coded data of the video frame, wherein the coded data comprises indication information of the block needing to be filtered.

Description

technical field [0001] The present application relates to the technical field of video processing, and in particular to a video encoding and decoding method, device, electronic equipment, and storage medium. Background technique [0002] In recent years, with the development of deep learning technology, many studies have attempted to use deep learning models to replace some modules in traditional video coding frameworks or propose end-to-end coding frameworks based on deep learning, especially in loop filtering tools. , which can significantly improve the encoding performance compared with traditional filtering tools. However, the use of loop filtering tools based on deep learning will increase the decoding complexity of the video decoding end. The current processing method is to use RDO (Ratedistortion optimization, rate-distortion optimization) to filter out the gain in the filtered video frame. CTU (Coding Tree Unit, coding tree unit), and filter this part of CTU at the ...

AI Technical Summary

Problems solved by technology

However, the use of loop filtering tools based on deep learning will increase the decoding complexity of the video decoding end. The current processing method is to use RDO (Ratedistortion optimization, rate-distortion optimization) to filter out the gain in the filtered video frame. The CTU (Coding Tree Unit, coding tree unit), and filter this part of the CTU at the video decoding end

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