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。
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 .
出处
《计算机与现代化》
2013年第12期1-4,共4页
Computer and Modernization
基金
国家自然科学基金资助项目(61272502)
关键词
视频编码
HEVC
熵编码
video compression
HEVC
entropy coding
