Paper Info
Title
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.
Year
DOI
Venue
2015
10.1109/BMSB.2015.7177228
2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting
Keywords
Field
DocType
HEVC,objective quality assessment,BD-Rate
Computer vision,Coding gain,Computer science,Algorithm,Image quality,Real-time computing,Coding (social sciences),Subjective video quality,Artificial intelligence,Video quality,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
2155-5044
0
0.34
References 
Authors
10
5
Name
Order
Citations
PageRank
Jianhua Xiao100.34
Li Song232365.87
Zhengyi Luo3357.85
Rong Xie45934.58
Wenjun Zhang51789177.28