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  • Research Article
  • Open Access

Rate-Distortion Optimization for Stereoscopic Video Streaming with Unequal Error Protection

  • 1Email author,
  • 2,
  • 2 and
  • 1
EURASIP Journal on Advances in Signal Processing20082009:632545

https://doi.org/10.1155/2009/632545

Received: 1 October 2007

Accepted: 27 March 2008

Published: 6 April 2008

Abstract

We consider an error-resilient stereoscopic streaming system that uses an H.264-based multiview video codec and a rateless Raptor code for recovery from packet losses. One aim of the present work is to suggest a heuristic methodology for modeling the end-to-end rate-distortion (RD) characteristic of such a system. Another aim is to show how to make use of such a model to optimally select the parameters of the video codec and the Raptor code to minimize the overall distortion. Specifically, the proposed system models the RD curve of video encoder and performance of channel codec to jointly derive the optimal encoder bit rates and unequal error protection (UEP) rates specific to the layered stereoscopic video streaming. We define analytical RD curve modeling for each layer that includes the interdependency of these layers. A heuristic analytical model of the performance of Raptor codes is also defined. Furthermore, the distortion on the stereoscopic video quality caused by packet losses is estimated. Finally, analytical models and estimated single-packet loss distortions are used to minimize the end-to-end distortion and to obtain optimal encoder bit rates and UEP rates. The simulation results clearly demonstrate the significant quality gain against the nonoptimized schemes.

Keywords

  • Packet Loss
  • Video Quality
  • Curve Modeling
  • Publisher Note
  • Video Codec

Publisher note

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Authors’ Affiliations

(1)
Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey
(2)
Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey

Copyright

© A. Serdar Tan et al. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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