Vectorized and Optimized Dependent Quantization for Practical VVC Encoding

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

18 Downloads (Pure)

Abstract

Versatile Video Coding (VVC) introduces dependent quantization (DQ) as a key coding tool, but it also has a high computational complexity. Therefore, optimizing DQ is crucial for practical VVC encoder implementations. In this paper, we propose optimization techniques for reducing the complexity of the DQ process, including efficient structure initialization, vectorized state update, rate distortion (RD) cost calculation, and last nonzero (LNZ) coefficient identification. The proposed optimizations are incorporated into the uvg266 practical VVC encoder. According to our evaluations, these optimization techniques accelerate the DQ process by over 1.7× and the entire VVC intra encoder by 1.4×, without any coding efficiency degradation. The proposed optimizations achieve more than twice the speedup over the existing techniques.
Original languageEnglish
Title of host publication2023 IEEE International Conference on Visual Communications and Image Processing
PublisherIEEE
Number of pages5
ISBN (Electronic)979-8-3503-5985-5
DOIs
Publication statusPublished - 4 Dec 2023
Publication typeA4 Article in conference proceedings
EventIEEE International Conference on Visual Communications and Image Processing - Jeju, Korea, Republic of
Duration: 4 Dec 20237 Dec 2023

Publication series

NameVisual communications and image processing
ISSN (Print)1018-8770
ISSN (Electronic)2642-9357

Conference

ConferenceIEEE International Conference on Visual Communications and Image Processing
Country/TerritoryKorea, Republic of
CityJeju
Period4/12/237/12/23

Publication forum classification

  • Publication forum level 1

Fingerprint

Dive into the research topics of 'Vectorized and Optimized Dependent Quantization for Practical VVC Encoding'. Together they form a unique fingerprint.

Cite this