TY - GEN
T1 - Comparison of objective quality metrics on the scalable extension of H.264/AVC
AU - Lee, Jong Seok
PY - 2012
Y1 - 2012
N2 - Due to the recent interest in video content delivery applications in networked environments, automatic quality assessment of scalable videos is becoming an important issue. This paper presents a study comparing the performance of objective metrics developed for quality assessment of scalable videos. A database containing video sequences produced by the scalable extension of H.264/AVC and corresponding subjective ratings is used for benchmarking. We aim at investigating the maximal capabilities of the metrics via optimization of their parameters on the database. Experimental results show that they outperform the peak signal-to-noise ratio (PSNR) and a correlation coefficient higher than 0.9 can be achieved, but there is still room for improvement in order to facilitate reliable objective quality assessment.
AB - Due to the recent interest in video content delivery applications in networked environments, automatic quality assessment of scalable videos is becoming an important issue. This paper presents a study comparing the performance of objective metrics developed for quality assessment of scalable videos. A database containing video sequences produced by the scalable extension of H.264/AVC and corresponding subjective ratings is used for benchmarking. We aim at investigating the maximal capabilities of the metrics via optimization of their parameters on the database. Experimental results show that they outperform the peak signal-to-noise ratio (PSNR) and a correlation coefficient higher than 0.9 can be achieved, but there is still room for improvement in order to facilitate reliable objective quality assessment.
KW - Quality of experience
KW - full-reference metric
KW - objective video quality
KW - scalable video coding
UR - http://www.scopus.com/inward/record.url?scp=84875839595&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875839595&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2012.6466954
DO - 10.1109/ICIP.2012.6466954
M3 - Conference contribution
AN - SCOPUS:84875839595
SN - 9781467325332
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 693
EP - 696
BT - 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
T2 - 2012 19th IEEE International Conference on Image Processing, ICIP 2012
Y2 - 30 September 2012 through 3 October 2012
ER -