Fast enhancement layer intra coding based on inter-channel correlations and TU depth correlation in SHVC

Guojing Zhu, Gaoxing Chen, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The scalable extension of High Efficiency Video Coding (SHVC) is now being developed by the Joint Collaborative Team on Video (JCT-VC). In SHVC, the enhancement layer (EL) employs the same coding methods as the base layer (BL) for different color components, namely one luminance (luma) and two chrominance (chroma) color components, which causes heavy computation cost. This paper proposes a fast EL luma and chroma intra coding algorithm for all intra configuration in SHVC. The correlation of prediction modes and transform unit (TU) depth between different color channels from different layers are exploited to simplify the intra prediction process in EL. Experimental results show that approximately 30% and 27% encoding time can be saved in All intra 2x and 1.5x respectively, while the BD-rate degradation are 0.4% and -0.1% compared with SHVC Test Model (SHM) 8.0.

Original languageEnglish
Title of host publicationProceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-53
Number of pages4
ISBN (Electronic)9781467387804
DOIs
Publication statusPublished - 2016 Jul 18
Event12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016 - Melaka, Malaysia
Duration: 2016 Mar 42016 Mar 6

Publication series

NameProceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016

Other

Other12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016
Country/TerritoryMalaysia
CityMelaka
Period16/3/416/3/6

Keywords

  • SHVC
  • enhancement layer
  • inter-channel correlation
  • luma and chroma
  • transform unit depth

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Control and Optimization

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