Low Complexity Quantization in High Efficiency Video Coding

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...

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Published in:	IEEE access Vol. 8; p. 1
Main Authors:	Wang, Meng, Fang, Xiaohan, Tan, Songchao, Zhang, Xinfeng, Zhang, Li
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Coders Coding Complexity Complexity theory Distortion Encoding High efficiency video coding low complexity video coding Measurement Quantization (signal) Rate-distortion rate-distortion optimized quantization Transforms Video coding Video compression
ISSN:	2169-3536, 2169-3536
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Abstract	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.
AbstractList	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.
Author	Tan, Songchao Zhang, Xinfeng Wang, Meng Fang, Xiaohan Zhang, Li
Author_xml	– sequence: 1 givenname: Meng surname: Wang fullname: Wang, Meng organization: Department of Computer Science, City University of Hong Kong, Hong Kong, China – sequence: 2 givenname: Xiaohan surname: Fang fullname: Fang, Xiaohan organization: Dalian University of Technology, Dalian, China – sequence: 3 givenname: Songchao surname: Tan fullname: Tan, Songchao organization: Institute of Digital Media, Peking University, Beijing 100871, China. (e-mail: songchaotan@pku.edu.cn) – sequence: 4 givenname: Xinfeng surname: Zhang fullname: Zhang, Xinfeng organization: School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China – sequence: 5 givenname: Li surname: Zhang fullname: Zhang, Li organization: Bytedance Inc., San Diego CA. USA
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SubjectTerms	Coders Coding Complexity Complexity theory Distortion Encoding High efficiency video coding low complexity video coding Measurement Quantization (signal) Rate-distortion rate-distortion optimized quantization Transforms Video coding Video compression
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Title	Low Complexity Quantization in High Efficiency Video Coding
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