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Proceedings Paper

Distributed fine grain adaptive-FEC scheme for scalable video streaming
Author(s): Yufeng Shan; John W. Woods; Shivkumar Kalyanaraman
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Paper Abstract

In this paper, we investigate a distributed fine grain adaptive FEC (FGA-FEC) scheme for scalable video streaming to heterogeneous users over a congested multihop network, where we do FGA-FEC decode/recode at selected intermediate overlay nodes, and do FGA-FEC adaptation at remaining nodes. In order to reduce the overall computational burden, we propose two methods: (1) a coordination between optimization processes running at adjacent nodes to reduce the optimization computation, and (2) extension of our overlay multihop FEC (OM-FEC1, 2) to reduce the number of FGA-FEC decode/recode nodes. Simulations show that the proposed scheme can greatly reduce computation, and can provide near best possible video quality to diverse users.

Paper Details

Date Published: 28 January 2008
PDF: 10 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682207 (28 January 2008); doi: 10.1117/12.768613
Show Author Affiliations
Yufeng Shan, Rensselaer Polytechnic Institute (United States)
John W. Woods, Rensselaer Polytechnic Institute (United States)
Shivkumar Kalyanaraman, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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