Adaptive video streaming with long term feedbacks

Authors:
Nicolas Tizon;Béatrice Pesquet-Popescu;Marco Cagnazzo
Affiliations:
TELECOM ParisTech, CNRS, LTCI, Signal and Image Processing Department, Paris Cedex 13, France;TELECOM ParisTech, CNRS, LTCI, Signal and Image Processing Department, Paris Cedex 13, France;TELECOM ParisTech, CNRS, LTCI, Signal and Image Processing Department, Paris Cedex 13, France
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 4
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Abstract

This paper proposes a video streaming system optimizing resource utilization when the media server only disposes of long term feedbacks from the client. Based on a partial knowledge of the network, we developed a scheduling algorithm that exploits the scalable video coding (SVC) properties to estimate packets importance and that takes into account packet delay dependencies to better anticipate congestion situations. Compared to more conventional streaming systems, experimental results show that our approach allows to better face network condition degradation like bandwidth reduction or packet error rate increase.