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Revisiting local texture correlation for rate-distortion optimized intra coding

  • Meng Wang
  • , Junru Li
  • , Li Zhang
  • , Hongbin Liu
  • , Jizheng Xu
  • , Shiqi Wang

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

Abstract

In this paper, we focus on computationally modeling of the local texture correlations, in an effort to better explore the coding modes with higher priorities in the rate-distortion optimized intra coding. In particular, strong correlations and continuities of local texture with neighboring blocks have been revealed in our analysis, and empirical justifications provide us inspirations on the joint optimization of rate-distortion-complexity when angular modes become finer to adapt the local textures. We examine the philosophy with extensive experiments conducted for refining the intra full-RD list. The results show that better coding performance with on average 0.72% and 3.00% BD-Rate savings for the natural scene and screen content sequences can be achieved in AVS3 test model HPM-5.0 under all intra configuration, with negligible encoding and decoding time variations.

Original languageEnglish
Title of host publicationProceedings - DCC 2020
Subtitle of host publicationData Compression Conference
EditorsAli Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages273-282
Number of pages10
ISBN (Electronic)9781728164571
DOIs
StatePublished - Mar 2020
Externally publishedYes
Event2020 Data Compression Conference, DCC 2020 - Snowbird, United States
Duration: 24 Mar 202027 Mar 2020

Publication series

NameData Compression Conference Proceedings
Volume2020-March
ISSN (Print)1068-0314

Conference

Conference2020 Data Compression Conference, DCC 2020
Country/TerritoryUnited States
CitySnowbird
Period24/03/2027/03/20

Keywords

  • AVS3
  • Intra
  • RDO

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