000211147 001__ 211147
000211147 005__ 20190118052812.0
000211147 0247_ $$2doi$$a10.1109/ICIP.2013.6738013
000211147 037__ $$aCONF
000211147 245__ $$aObjective quality metrics for video scalability
000211147 260__ $$c2013
000211147 269__ $$a2013
000211147 336__ $$aConference Papers
000211147 520__ $$aScalable video coding is emerging as an efficient alternative to simulcast encoding to distribute the same video content si- multaneously to many users having different terminals and network conditions. In order to select the best combination of video scalability options for a given network condition and content, the availability of objective metrics that can reliably predict the video quality of scalable video sequence is crucial. In this paper, we propose a performance evaluation study of a set of state of the art Full-Reference and No-Reference met- rics, considering a public database of test video sequences and related subjective quality annotations. The results demon- strate that most of the considered metrics show lack of ro- bustness as predictors of subjective quality when both spatial and temporal quality distortions occur.
000211147 6531_ $$ascalable video coding
000211147 6531_ $$aobjective quality
000211147 6531_ $$asubjective quality
000211147 6531_ $$aquality metric
000211147 700__ $$0248789$$aBesson, Adrien Georges Jean$$g214640
000211147 700__ $$0242657$$aDe Simone, Francesca$$g179081
000211147 700__ $$0240223$$aEbrahimi, Touradj$$g105043
000211147 7112_ $$aInternational Conference on Image processing
000211147 8560_ $$fnada.guerraoui@epfl.ch
000211147 909CO $$ooai:infoscience.tind.io:211147$$pconf
000211147 917Z8 $$x214640
000211147 917Z8 $$x144315
000211147 937__ $$aEPFL-CONF-211147
000211147 973__ $$aEPFL$$rREVIEWED
000211147 980__ $$aCONF
000211147 999C0 $$0252077$$mtouradj.ebrahimi@epfl.ch$$pMMSPL$$xU11889$$xUS02700