An Efficient Hidden Markov Model-Based Sample Adaptive Offset Mode Decision Algorithm for Versatile Video Coding

Feng XING, Yingwen ZHANG, Meng WANG, Hengyu MAN, Yongbing ZHANG, Shiqi WANG, Xiaopeng Fan

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review

Abstract

This paper proposes a highly efficient sample adaptive offset (SAO) mode decision algorithm. By leveraging both the directional correlations between the SAO and intra-prediction decisions, and the SAO decisions' spatial correlations, the SAO mode candidates are effectively pruned during the rate-distortion optimization process, accelerating the SAO encoding process with negligible BD-rate loss.
Original languageEnglish
Title of host publicationProceedings : 2025 Data Compression Conference
EditorsAli BILGIN, James E. FOWLER, Jaan SERRA-SAGRISTA, Yan YE, James A. STORER
PublisherIEEE
Pages407-407
ISBN (Electronic)9798331534714
DOIs
Publication statusPublished - 20 May 2025
Event2025 Data Compression Conference (DCC) - Snowbird, UT, USA
Duration: 18 Mar 202521 Mar 2025

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314

Conference

Conference2025 Data Compression Conference (DCC)
Period18/03/2521/03/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Funding

This work was supported in part by the National Key R&D Program of China (2021YFF0900500), the National Natural Science Foundation of China (NSFC) under grants U22B2035 and 62272128.

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