Prediction with multi-cross component

Junru LI, Li ZHANG, Kai Zhang, Hongbin LIU, Meng WANG, Shiqi WANG, Siwei MA, Wen GAO

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

5 Citations (Scopus)

Abstract

Cross-component prediction reveals great benefits in promoting the coding efficiency by removing the inter-channel redundancies between luma and chroma components. This paper proposes a novel prediction with a multi-cross component (PMC) mode for AVS3. With the PMC mode, the Cr coding block can be predicted through an efficient linear combination of the reconstructed coding blocks regarding Y and Cb components. Moreover, to release the computational burden, the linear model parameters in PMC are acquired by inheritance and reorganization. In this way, the inter-channel redundancies can be further removed, leading to reductions of the residual energies and improvements of coding performance. Experimental results on AVS3 test model HPM-5.0 verify the effectiveness of the proposed method where the PMC achieves on average 0.27%, 0.56%, and 1.10% BD-Rate savings for Y, Cb, and Cr components under all intra configuration. Moreover, the PMC brings 0.12%, 0.44% and 1.00% BD-Rate gains for Y, Cb, and Cr components under random access configuration. The variations of encoding and decoding time are negligible. Owing to the substantial gains regarding the compression efficiency, and low operational complexity, the PMC has been adopted to AVS3 standard.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020
PublisherIEEE
ISBN (Electronic)9781728114859
DOIs
Publication statusPublished - Jul 2020
Externally publishedYes
Event2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020 - London, United Kingdom
Duration: 6 Jul 202010 Jul 2020

Conference

Conference2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020
Country/TerritoryUnited Kingdom
CityLondon
Period6/07/2010/07/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • AVS3
  • Cross-component prediction
  • Intra prediction
  • PMC
  • TSCPM

Fingerprint

Dive into the research topics of 'Prediction with multi-cross component'. Together they form a unique fingerprint.

Cite this