Low Complexity Quantization in High Efficiency Video Coding

Meng WANG, Xiaohan FANG, Songchao TAN*, Xinfeng ZHANG, Li ZHANG

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

5 Citations (Scopus)

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.
Original languageEnglish
Article number9149906
Pages (from-to)145159-145170
Number of pages12
JournalIEEE Access
Volume8
Early online date27 Jul 2020
DOIs
Publication statusPublished - 2020
Externally publishedYes

Funding

This work was supported by the National Natural Science Foundation of China under Grant 61902006.

Keywords

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

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