Low Complexity Quantization in High Efficiency Video Coding

被引:2
|
作者
Wang, Meng [1 ]
Fang, Xiaohan [2 ]
Tan, Songchao [3 ]
Zhang, Xinfeng [4 ]
Zhang, Li [5 ]
机构
[1] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
[2] Dalian Univ Technol, Dalian 116024, Peoples R China
[3] Peking Univ, Inst Digital Media, Beijing 100871, Peoples R China
[4] Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China
[5] Bytedance Inc, San Diego, CA 91945 USA
来源
IEEE ACCESS | 2020年 / 8卷
基金
中国国家自然科学基金;
关键词
Quantization (signal); Video coding; Complexity theory; Transforms; Encoding; Rate-distortion; Standards; High efficiency video coding; low complexity video coding; rate-distortion optimized quantization; SOFT DECISION QUANTIZATION; DCT COEFFICIENTS; BLOCK DETECTION; MODEL; PREDICTION; HYBRID;
D O I
10.1109/ACCESS.2020.3012145
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rate-distortion optimized quantization (RDOQ) provides an excellent trade-off between rate and distortion in High Efficiency Video Coding (HEVC), leading to inspiring improvement in terms of rate-distortion performance. However, its heavy use imposes high complexity on the encoder in real-world video compression applications. In this paper, we provide a comprehensive review on low complexity quantization techniques in HEVC, including both fast RDOQ and all-zero block detection. In particular, the fast RDOQ relies on rate and distortion models for rate-distortion cost estimation, such that the most appropriate quantized coefficient is selected in a low complexity way. All-zero block detection infers the all-zero block by skipping transform and quantization, in an effort to further reduce the complexity. The relationship between the two techniques is also discussed, and moreover, we also envision the future design of low complexity quantization in the upcoming Versatile Video Coding (VVC) standard.
引用
收藏
页码:145159 / 145170
页数:12
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