Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2011-05-27
International Journal of Multimedia & Its Applications (IJMA), Vol:3, No:2, May 2011, 33-43
Computer Science
Distributed, Parallel, and Cluster Computing
11 pages, 8 figures, journal
Scientific paper
10.5121/ijma.2011.3203
Video streaming applications have newly attracted a large number of participants in a distribution network. Traditional client-server based video streaming solutions sustain precious bandwidth provision rate on the server. Recently, several P2P streaming systems have been organized to provide on-demand and live video streaming services on the wireless network at reduced server cost. Peer-to-Peer (P2P) computing is a new pattern to construct disseminated network applications. Typical error control techniques are not very well matched and on the other hand error prone channels has increased greatly for video transmission e.g., over wireless networks and IP. These two facts united together provided the essential motivation for the development of a new set of techniques (error concealment) capable of dealing with transmission errors in video systems. In this paper, we propose an flexible multiple description coding method named as Flexible Spatial-Temporal (FST) which improves error resilience in the sense of frame loss possibilities over independent paths. It introduces combination of both spatial and temporal concealment technique at the receiver and to conceal the lost frames more effectively. Experimental results show that, proposed approach attains reasonable quality of video performance over P2P wireless network.
Eranti Jeevan
Jaganathan Suresh
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