首页 | 官方网站   微博 | 高级检索  
     

HEVC 熵编码算法优化
引用本文:徐飞,张永飞,李哲.HEVC 熵编码算法优化[J].计算机与现代化,2013(12):1-4.
作者姓名:徐飞  张永飞  李哲
作者单位:北京航空航天大学计算机学院数字媒体北京市重点实验室;北京航空航天大学虚拟现实技术与系统国家重点实验室
基金项目:国家自然科学基金资助项目(61272502)
摘    要:新一代视频编码标准HEVC提供了更加灵活的编码工具选择,在提高压缩率的同时也提高了编码的计算复杂度。由于可选择更大的变换单元以及编码中更强的系数间依赖关系,在率失真优化(RDO)模式选择过程中,HEVC熵编码的计算复杂度显著高于H.264/AVC。为了解决这一问题,本文对HEVC熵编码算法进行优化,通过优化熵编码的上下文空间选择过程、非零系数的编码结构,以及对不同大小的变换矩阵进行整体优化。实验结果表明,本文提出的优化算法能够在保证视频编码质量基本不变的同时,平均降低约43%的熵编码时间。

关 键 词:视频编码  HEVC  熵编码

Optimization Algorithm of HEVC Entropy Coding
XU Fei;ZHANG Yong-fei;LI Zhe.Optimization Algorithm of HEVC Entropy Coding[J].Computer and Modernization,2013(12):1-4.
Authors:XU Fei;ZHANG Yong-fei;LI Zhe
Affiliation:XU Fei;ZHANG Yong-fei;LI Zhe;Beijing Key Laboratory of Digital Media,School of Computer Science and Engineering,Beihang University;State Key Laboratory of Virtual Reality Technology and Systems,Beihang University;
Abstract:The latest video compression standard HEVC adopts more flexible compression tools to reach a higher compression rate compared to its predecessor H .264/AVC, meanwhile the computation of HEVC is more complicated .Mainly because the larger Transform Unit and the stronger dependence between transform coefficient , entropy coding of HEVC in RDO ( Rate-Distortion Op-timization) is much more complex than that in H .264/AVC.This paper proposed several techniques to optimize the entropy cod-ing process of HEVC , including context selection optimization , significant coefficient coding optimization and different size coeffi-cient block optimization .Experiment results show that the proposed schemes can reduce on average 43% of the entropy coding time in RDO without losing compression performance .
Keywords:video compression  HEVC  entropy coding
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号