Sub-sampled cross-component prediction for chroma component coding

Junru LI, Meng WANG, Li ZHANG, Kai ZHANG, Shiqi WANG, Shanshe WANG, Siwei MA, Wen GAO

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

17 Citations (Scopus)

Abstract

Cross-component prediction, which takes advantage of inter-channel correlations, predicts the chroma block with the luma reconstructed block according to associated linear model. Instead of involving all available reference samples in building the linear model, in this paper, we propose a sub-sampled approach that utilizes at most four neighboring chroma samples and their corresponding down-sampled luma samples, leading to significantly reduced operations in the derivation of model parameters at both encoder and decoder. The proposed scheme is hardware friendly in terms of the overheads of memory access and clock cycles, and greatly benefits the practical implementations of the emerging video coding standard in real applications. Extensive experiments reveal that the proposed sub-sampled method provides simple operations and robust coding performance, leading to the adoption by Versatile Video Coding (VVC) Standard and the third generation Audio Video Coding Standard (AVS3).

Original languageEnglish
Title of host publicationProceedings : DCC 2020 : Data Compression Conference
EditorsAli BILGIN, Michael W. MARCELLIN, Joan SERRA-SAGRISTA, James A. STORER
PublisherIEEE
Pages203-212
Number of pages10
ISBN (Electronic)9781728164571
DOIs
Publication statusPublished - 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

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Funding

This work was supported by High-performance Computing Platform of Peking University, National Key Research and Development Project (2019YFF0302703), MoE-China Mobile Research Fund Project (MCM20180702), which are gratefully acknowledged. This work was done while the author was a research intern in ByteDance Inc.

Keywords

  • AVS3
  • CCLM
  • Cross component
  • TSCPM
  • VVC

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