• DocumentCode
    729585
  • Title

    Which metric can predict coding gain of H.265/HEVC over H.264/AVC?

  • Author

    Jianhua Xiao ; Li Song ; Zhengyi Luo ; Rong Xie ; Wenjun Zhang

  • Author_Institution
    Inst. of Image Commun. & Network Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2015
  • fDate
    17-19 June 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Subjective evaluation conducted by JCT-VC (Joint Collaborative Team on Video Coding) members shows that H.265/HEVC achieves about 50% rate saving over H.264/AVC without sacrificing subjective quality. In this paper, we study 13 objective image and video quality assessment (IQA/VQA) metrics, including the recently proposed ones - FSIM [1], GMSD [2] and IWSSIM [3], in terms of coding gain prediction of HEVC over H.264. Experimental results on HEVC Class B and Class C test sequences show that most of the metrics underestimate the rate saving. Surprisingly, a relatively old metric - Noise Quality Measure (NQM) [4] index consists well with subjective evaluation. To verify the universality of the phenomenon, we carried out further tests on another ten video sequences with different levels of spatial and temporal complexities. The experimental results show that NQM still predicts rate saving more accurately than the other metrics.
  • Keywords
    video coding; FSIM; GMSD; H.265-HEVC; HEVC Class B test sequences; HEVC Class C test sequences; IQA metrics; IWSSIM; JCT-VC members; NQM; VQA metrics; coding gain prediction; image quality assessment; joint collaborative team on video coding members; noise quality measure; rate saving; spatial complexities; subjective evaluation; subjective quality; temporal complexities; video quality assessment; video sequences; Complexity theory; Encoding; Image quality; Indexes; Measurement; Quality assessment; Video sequences; BD-Rate; HEVC; objective quality assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Multimedia Systems and Broadcasting (BMSB), 2015 IEEE International Symposium on
  • Conference_Location
    Ghent
  • Type

    conf

  • DOI
    10.1109/BMSB.2015.7177228
  • Filename
    7177228