Video Compression Method Based on Convolutional Neural Network and Salient Information in HEVC Compression Domain

Abstract

The invention discloses a video compression method based on convolutional neural network and saliency information in HEVC compression domain. Improvement and enhancement. In terms of video saliency, this method combines the motion estimation results of each CU in the HEVC compression process on the basis of convolutional neural network to perform adaptive dynamic fusion of the two, so as to complete the saliency of the input video. Detection; in terms of perceptual priority video compression algorithms, select the corresponding QP according to the saliency value of the CU to ensure that the CU with a higher saliency can be encoded with a smaller QP, and at the same time the saliency characteristics of the current CU block Incorporating the traditional rate-distortion calculation method to achieve the purpose of perceptual priority, this method reduces the perceptual redundancy of the video to obtain a better compression effect.

Description

technical field [0001] The present invention relates to the technical field of video processing, and more specifically relates to a video compression method based on convolutional neural network and salient information in HEVC compression domain. Background technique [0002] At present, with the continuous development of video compression technology, people have higher and higher requirements for high-quality and high-real-time video, and a new generation of video coding standard HEVC (High Efficiency Video Coding) emerged as the times require. Applied to high-definition video processing. [0003] However, HEVC, a new generation of video coding standard, has greatly increased its coding complexity while its coding performance has improved, so that when it is applied to the video compression process, its compression efficiency is difficult to guarantee, especially when high-definition video applications are becoming more and more popular. In this case, the problems arising ...

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Problems solved by technology

[0003] However, HEVC, a new generation of video coding standard, has greatly increased its coding complexity while its coding performance has improved, so that when it is applied to the video compression process, its compression efficiency is difficult to guarantee, especially when high-definition video applications are becoming more and more popular. In this case, the problems arising from the limited bandwidth have brought huge challenges to the video compression technology, and the requirements for high-definition video in modern society are also getting higher and higher, from the original QCIF to 4K (with a resolution of 3840× 2160), and soon developed into 8K (resolution 7680×4320) ultra-high-definition video, which puts forward higher requirements for video compression, storage and transmission, especially how to improve the compression efficiency so that the human eye The image quality of the part of interest is clearer, more realistic, etc.

The existing video coding standard HEVC can no longer meet the needs of high-quality high-definition video transmission and improve the subjective visual quality of the human eye, while also improving the compression efficiency and making the picture quality of the part that the human eye pays attention to clearer and more realistic. Require

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