基于H.266/VVC的帧内预测方法综述  

A Review of Intra Prediction Methods Based on H.266/VVC

作　　者：胡涛 李桐 

机构地区：[1]北京印刷学院信息工程学院,北京

出　　处：《计算机科学与应用》2024年第12期153-163,共11页Computer Science and Application

基　　金：项目号:11000301089项目名称:基于IP网络的音视频通信及大数据行为分析技术研究。

摘　　要：VVC编码框架的帧内预测一直以来都是视频编码优化的主要内容,尽可能提升帧内预测效率有助于提高VVC标准的适用能力。本文旨在对帧内预测在VVC编码框架的效率优化方法进行系统综述,详细分析了VVC编码框架的结构和原理,阐述了VVC编码框架的发展历程,并深入分析了当前VVC帧内预测的研究现状。本文主要从CU快速划分算法研究、帧内预测模式优化算法研究、帧内预测算法最新进展研究三个角度对帧内预测算法进行研究和性能比较,并且从目前算法的局限和当前技术条件出发,提供未来的研究方向,为帧内预测相关研究提供参考。The intra prediction in the VVC coding framework has always been a primary focus for optimizing video encoding, and enhancing the efficiency of intra prediction is crucial for improving the applicability of the VVC standard. This paper aims to provide a systematic review of the efficiency optimization of intra prediction within the VVC coding framework, detailing the structure and principles of the VVC coding framework, elucidating its development history, and thoroughly analyzing the current state of research on VVC intra prediction. This paper mainly compares the performance of intra-frame prediction algorithms from three perspectives: the research of CU rapid partition algorithm, the research of intra-frame prediction mode optimization algorithm, and the research of the latest progress of intra-frame prediction algorithm, and provides future research directions from the limitations of the current algorithm and the current technical conditions, so as to provide reference for the research related to intra-frame prediction.

关 键 词：通用视频编码(VVC) 帧内预测 CU快速划分 帧内模式选择 

分 类 号：R71[医药卫生—妇产科学]