Low Complexity Quantization in High Efficiency Video Coding

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Meng WANG
  • Xiaohan FANG
  • Songchao TAN
  • Xinfeng ZHANG
  • Li ZHANG

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number9149906
Pages (from-to)145159-145170
Journal / PublicationIEEE Access
Volume8
Online published27 Jul 2020
Publication statusPublished - 2020

Link(s)

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.

Research Area(s)

  • High efficiency video coding, low complexity video coding, rate-distortion optimized quantization

Citation Format(s)

Low Complexity Quantization in High Efficiency Video Coding. / WANG, Meng; FANG, Xiaohan; TAN, Songchao; ZHANG, Xinfeng; ZHANG, Li.

In: IEEE Access, Vol. 8, 9149906, 2020, p. 145159-145170.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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