Perceived Video Quality Estimation from Spatial and Temporal Information Contents and Network Performance Parameters in IPTV
Pedro de la Cruz Ramos, Francisco González Vidal, Raquel Pérez Leal
Abstract
Pedro de la Cruz Ramos, Francisco González Vidal, Raquel Pérez Leal
Abstract
The paper proposes a model for estimation of perceived video quality in IPTV, taking as input both video coding and network Quality of Service parameters. It includes some fitting parameters that depend mainly on the information contents of the video sequences. A method to derive them from the Spatial and Temporal Information contents of the sequences is proposed. The model may be used for near real-time monitoring of IPTV video quality.
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The paper proposes a model for estimation of perceived video quality in IPTV, taking as input both video coding and network Quality of Service parameters. It includes some fitting parameters that depend mainly on the information contents of the video sequences. A method to derive them from the Spatial and Temporal Information contents of the sequences is proposed. The model may be used for near real-time monitoring of IPTV video quality.
Key concepts: IPTV, Computer science, Video quality, Coding (social sciences), Quality of service, Scalable Video Coding, Quality (philosophy), Estimation