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

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.

Publication
2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting
Jianhua Xiao
Jianhua Xiao
Master Student

My hobby is playing basketball and my favorite star is Kobe Bryant.

Li Song
Li Song
Professor, IEEE Senior Member

Professor, Doctoral Supervisor, the Deputy Director of the Institute of Image Communication and Network Engineering of Shanghai Jiao Tong University, the Double-Appointed Professor of the Institute of Artificial Intelligence and the Collaborative Innovation Center of Future Media Network, the Deputy Secretary-General of the China Video User Experience Alliance and head of the standards group.