Prediction With Multicross Component for Future Video Coding

Junru Li, Li Zhang, Kai Zhang, Hongbin Liu, Meng Wang, Shiqi Wang, Siwei Ma*, Wen Gao

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

179 Citations (Scopus)

Abstract

There has been a consensus of cross-component prediction in video compression that the inter-channel redundancies can be effectively removed through a linear prediction model. To fully explore the similarities existing in different color components, we propose prediction with multi-cross component (PMC) as a new chroma intra coding mode for the emerging video coding standard AVS3. The proposed PMC enjoys extremely low operational complexity and high flexibility, which advocates to reuse and reform the linear prediction model of conventional two-step cross-component prediction mode. Moreover, dual-prediction patterns of PMC are exploited to enhance the prediction efficiency. Experimental results on AVS3 test model HPM-6.0 show that PMC brings 0.32%, 1.60% and 2.39% BD-Rate savings for Y, Cb and Cr components respectively under all intra configuration with natural scene videos. Moreover, 0.91%, 2.24% and 2.82% BD-Rate gains can be observed on screen content videos. A subset modes of PMC have been adopted by AVS3.
Original languageEnglish
Pages (from-to)52-62
JournalIEEE MultiMedia
Volume28
Issue number3
Online published27 Nov 2020
DOIs
Publication statusPublished - Jul 2021

Research Keywords

  • AVS3
  • Color
  • Computational modeling
  • Correlation
  • cross-component prediction
  • Encoding
  • Intra prediction
  • Predictive models
  • Redundancy
  • Standards
  • video coding

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