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
Online Access:Get full text
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Summary: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.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3012145