Low Complexity Quantization in High Efficiency Video Coding
被引:2
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作者:
Wang, Meng
论文数: 0引用数: 0
h-index: 0
机构:
City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
Wang, Meng
[1
]
Fang, Xiaohan
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机构:
Dalian Univ Technol, Dalian 116024, Peoples R ChinaCity Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
Fang, Xiaohan
[2
]
Tan, Songchao
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机构:
Peking Univ, Inst Digital Media, Beijing 100871, Peoples R ChinaCity Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
Tan, Songchao
[3
]
Zhang, Xinfeng
论文数: 0引用数: 0
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机构:
Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R ChinaCity Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
Zhang, Xinfeng
[4
]
Zhang, Li
论文数: 0引用数: 0
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机构:
Bytedance Inc, San Diego, CA 91945 USACity Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
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.
机构:
Sungkyunkwan Univ, Dept Elect & Comp Engn, Digital Media Lab, Suwon 16419, South KoreaSungkyunkwan Univ, Dept Elect & Comp Engn, Digital Media Lab, Suwon 16419, South Korea
Xu, Motong
Jeon, Byeungwoo
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机构:
Sungkyunkwan Univ, Dept Elect & Comp Engn, Digital Media Lab, Suwon 16419, South KoreaSungkyunkwan Univ, Dept Elect & Comp Engn, Digital Media Lab, Suwon 16419, South Korea
机构:
Shenzhen Univ, Coll Informat Engn, Natl Engn Lab Big Data Syst Comp Technol, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Natl Engn Lab Big Data Syst Comp Technol, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R China
Wang, Miaohui
Xie, Wuyuan
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen Univ, Coll Comp & Software Engn, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Natl Engn Lab Big Data Syst Comp Technol, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R China
Xie, Wuyuan
Xiong, Jian
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Univ Posts & Telecommun, Coll Commun & Informat Technol, Nanjing 210023, Jiangsu, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Natl Engn Lab Big Data Syst Comp Technol, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R China
Xiong, Jian
Wang, Dayong
论文数: 0引用数: 0
h-index: 0
机构:
Chongqing Univ Posts & Telecommun, Inst Bioinformat, Chongqing 400065, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Natl Engn Lab Big Data Syst Comp Technol, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R China
Wang, Dayong
Qin, Jing
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Polytech Univ, Sch Nursing, Hong Kong, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Natl Engn Lab Big Data Syst Comp Technol, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R China