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Efficient Frame Transmission For Scalable Video Streaming with Dependency Structure

Efficient transmission schemes are presented for streaming scalable video over a link with limited capacity. The objective is to select a transmission sequence of data units and their transmission schedule such that the overall video quality is maximized. For video with a single spatial layer, optimal transmission schemes are obtained for two general classes of hierarchical prediction structures, which include the popular dyadic structure. Based on a new characterization of the interdependence among frames in terms
of trees, structural properties of an optimal transmission schedule are derived. These properties lead to the development of a jointly optimal frame selection and scheduling algorithm, which has computational
complexity that is quadratic in the number of frames. Then, using the concept of virtual deadlines, an efficient sub-optimal scheme for the transmission of video with multiple spatial layers is proposed. Simulation results show that the proposed schemes substantially outperform two existing alternatives.

Identiferoai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/33449
Date22 November 2012
CreatorsMehdian, Saied
ContributorsLiang, Ben
Source SetsUniversity of Toronto
Languageen_ca
Detected LanguageEnglish
TypeThesis

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