Low Complexity Trellis-Coded Quantization in Versatile Video Coding

Meng WANG, Shiqi WANGA, Junru LI, Li ZHANG, Yue WANG, Siwei MA, Sam KWONG

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

15 Citations (Scopus)

Abstract

The forthcoming Versatile Video Coding (VVC) standard adopts the trellis-coded quantization, which leverages the delicate trellis graph to map the quantization candidates within one block into the optimal path. Despite the high compression efficiency, the complex trellis search with soft-decision quantization may hinder the applications due to high complexity and low throughput capacity. To reduce the complexity, in this paper, we propose a low complexity trellis-coded quantization scheme in a scientifically sound way with theoretical modeling of the rate and distortion. As such, the trellis departure point can be adaptively adjusted, and unnecessarily visited branches are accordingly pruned, leading to the shrink of total trellis stages and simplification of transition branches. Extensive experimental results on the VVC test model show that the proposed scheme is effective in reducing the encoding complexity by 11% and 5% with all intra and random access configurations, respectively, at the cost of only 0.11% and 0.05% BD-Rate increase. Meanwhile, on average 24% and 27% quantization time savings can be achieved under all intra and random access configurations. Due to the excellent performance, the VVC test model has adopted one implementation of the proposed scheme.
Original languageEnglish
Article number9329075
Pages (from-to)2378-2393
Number of pages16
JournalIEEE Transactions on Image Processing
Volume30
Early online date20 Jan 2021
DOIs
Publication statusPublished - 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1992-2012 IEEE.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 62022002, in part by the Hong Kong ITF UICP under Grant UIM359 (CityU 9440203), in part by the Hong Kong RGC ECS under Grant 21211018, in part by GRF under Grant 11203220, and in part by the City University of Hong Kong Applied Research under Grant 9667192. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Chaker Larabi.

Keywords

  • rate distortion optimization
  • soft quantization
  • Trellis-coded quantization
  • video coding
  • VVC

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