新一代通用视频编码标准H.266/VVC:现状与发展

万帅; 霍俊彦; 马彦卓; 杨付正

doi:10.7652/xjtuxb202404001

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新一代通用视频编码标准H.266/VVC:现状与发展

专题视频编码理论与应用 | 更新时间：2025-07-09

- 新一代通用视频编码标准H.266/VVC:现状与发展
- The New-Generation Versatile Video Coding Standard H.266/VVC: State-of-the-Art and Development
- 西安交通大学学报 2024年58卷第4期页码：1-17
- 作者机构：
  
  1. 西北工业大学电子信息学院,西安,710129
  2. 皇家墨尔本理工大学工程学院, VIC,墨尔本,澳大利亚,3001
  3. 西安电子科技大学通信工程学院,西安,710071
- 作者简介：
  
  : 2023-07-04。作者简介: 万帅(1979—),女,教授,博士生导师。基金项目: 国家自然科学基金资助项目(62171353,62101409)
- 基金信息：
  
  : 2023-07-04。作者简介: 万帅(1979—),女,教授,博士生导师。基金项目: 国家自然科学基金资助项目(62171353,62101409);陕西省自然科学基础研究计划资助项目(2024JC-YBMS-463)
- DOI：10.7652/xjtuxb202404001
  中图分类号： TP391.4
- 网络首发：2024-04-10，
  
  纸质出版：2024
- 稿件说明：
移动端阅览
万帅, 霍俊彦, 马彦卓, 等. 新一代通用视频编码标准H.266/VVC:现状与发展[J]. 西安交通大学学报, 2024,58(4):1-17.

WAN Shuai, HUO Junyan, MA Yanzhuo, et al. The New-Generation Versatile Video Coding Standard H.266/VVC: State-of-the-Art and Development[J]. 2024, 58(4): 1-17.
万帅, 霍俊彦, 马彦卓, 等. 新一代通用视频编码标准H.266/VVC:现状与发展[J]. 西安交通大学学报, 2024,58(4):1-17. DOI： 10.7652/xjtuxb202404001.

WAN Shuai, HUO Junyan, MA Yanzhuo, et al. The New-Generation Versatile Video Coding Standard H.266/VVC: State-of-the-Art and Development[J]. 2024, 58(4): 1-17. DOI： 10.7652/xjtuxb202404001.

摘要

相比于上一代标准

新一代通用视频编码标准(H.266/VVC)在同等质量下能够节省大约50%的码率

且适用于多种多样的视频应用场景。论文从H.266/VVC的关键技术出发

对标准的现状、实现和应用发展进行深入探讨。H.266/VVC沿用既往标准中的双层码流体系和混合编码框架

针对帧内预测、帧间预测、变换、量化、环路滤波等所有主要编码模块进行了技术革新

并为屏幕内容视频等应用提供了高效的专用编码工具。H.266/VVC标准目前已处于实用化阶段

官方参考软件VTM和开源编解码器VVenC/VVdeC是目前最具代表性的软件编解码实现。对H.266/VVC的性能分析可以看出:H.266/VVC针对高分辨率视频取得的编码增益更为突出; 主要编码工具对性能的贡献通常以复杂度为代价

但也有部分编码工具在提升编码性能的同时可降低整体编码复杂度。H.266/VVC的硬件实现面临诸多挑战

发展明显滞后于软件实现

现有研究主要集中在对具体编码模块的硬件加速方面。H.266/VVC标准发布之后

下一代视频编码标准的发展目前仍围绕混合编码框架进行探索

聚焦在两大方向:超越VVC的增强压缩关注更为先进的、非神经网络的编码工具

基于神经网络的视频编码则探索采用神经网络的编码工具。除此之外

部分或完全跳出现有混合编码框架的端到端视频编码也在飞速发展

未来视频编码标准与神经网络结合成为趋势

但面临着计算资源依赖和稳定结构两方面的考验。

Abstract

Compared with the previous-generation standard

the new-generation versatile video coding standard H.266/VVC saves about 50% of the bit rate given the same quality and applies to a wide range of video application scenarios. The status quo

implementation

and application development of H.266/VVC are discussed in this paper from the perspective of its key technologies. H.266/VVC retains the dual-layer bitstream structure and hybrid coding framework of the previous standard while introducing technological innovations to all the major coding modules such as intra-frame prediction

inter-frame prediction

transformation

quantization

and loop filtering. Moreover

it provides efficient specialized coding tools for applications such as screen content videos. Currently

the H.266/VVC standard is in a practical stage

with the official reference software VTM and the open-source codecs VVenC/VVdeC serving as the most prominent software codec implementations. An analysis of the performance of H.266/VVC reveals that it achieves more notable coding gains for high-resolution videos. While some of the main coding tools contribute to improved performance

they may also increase complexity. Nevertheless

certain coding tools manage to enhance coding performance while reducing overall coding complexity. The hardware implementation of H.266/VVC faces many challenges

and its development lags behind software implementation. Following the release of H.266/VVC

the development of a next-generation video coding standard still focuses on the hybrid coding framework. There are two main directions: Enhanced compression in Beyond VVC concentrates on more advanced

non-neural-network-based coding tools

while neural-network-based video coding explores the use of neural-network-based coding tools. Furthermore

there is rapid progress in the development of end-to-end video coding that partially or completely deviates from the existing hybrid coding framework. In the future

the combination of video coding standards with neural networks will become a trend while facing the challenges of computational resource dependence and keeping a stable structure.

关键词

Keywords

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