PREDICTION WITH MULTI-CROSS COMPONENT

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

  • Junru Li
  • Li Zhang
  • Kai Zhang
  • Hongbin Liu
  • Siwei Ma
  • Wen Gao

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publication2020 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-7281-1485-9
ISBN (Print)978-1-7281-1486-6
Publication statusPublished - Jul 2020

Publication series

NameIEEE International Conference on Multimedia and Expo Workshops, ICMEW

Conference

Title2020 IEEE International Conference on Multimedia and Expo (ICME 2020)
LocationVirtual
PlaceUnited Kingdom
CityLondon
Period6 - 10 July 2020

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.

Research Area(s)

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

Citation Format(s)

PREDICTION WITH MULTI-CROSS COMPONENT. / Li, Junru; Zhang, Li; Zhang, Kai; Liu, Hongbin; Wang, Meng; Wang, Shiqi; Ma, Siwei; Gao, Wen.

2020 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2020. 9105965 (IEEE International Conference on Multimedia and Expo Workshops, ICMEW).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review