DocumentCode
1711695
Title
Estimation of time varying QoE for high definition IPTV distribution
Author
Issa, Omneya ; Speranza, Filippo ; Li, Wei ; Liu, Hong
Author_Institution
Commun. Res. Centre Canada, Ottawa, ON, Canada
fYear
2012
Firstpage
326
Lastpage
330
Abstract
High Definition (HD) content delivery over IP networks is now a reality in the entertainment marketplace. Such networks can suffer packet loss, especially on the last mile link. This results in time-variant video quality. In this paper we first present an analysis of the human perception of network impairment on HD IPTV quality. Second, we propose a method, based on common objective measurements, to estimate subjective judgments of time-variant quality. A testbed was deployed to emulate a real use case of delivering high definition TV material over an IPTV network. The quality of the delivered H.264/AVC encoded video was evaluated objectively in an emulated environment where packet loss impairments were generated. Objective measurements were then compared to continuous subjective quality ratings. Based on the obtained results, highly correlated models were developed for the estimation of instantaneous user judgment of impaired HD broadcast IPTV.
Keywords
IP networks; IPTV; estimation theory; high definition television; video coding; H.264-AVC encoded video; HD IPTV quality; HD content delivery; IP networks; IPTV network; common objective measurements; continuous subjective quality ratings; correlated models; emulated environment; entertainment marketplace; high definition IPTV distribution; high definition TV material; human perception; impaired HD broadcast IPTV; mile link; network impairment; packet loss impairments; subjective judgments; time varying QoE estimation; time-variant quality; time-variant video quality; HDTV; High definition video; IPTV; Loss measurement; Materials; PSNR; Streaming media; IPTV; Performance Evaluation; Quality of Experience; objective assessment; subjective assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4577-2070-3
Type
conf
DOI
10.1109/CCNC.2012.6181111
Filename
6181111
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