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Proceedings Paper

Online smoothing for scalable media stream delivery
Author(s): Kui Gao; Wen Gao; Simin He; Yuan Zhang
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Paper Abstract

It is important to smooth the quality variability and improve the utilization of the available network bandwidth in a streaming session from a scalable streaming server to the client over the network with bandwidth variation. In this paper, we propose an on-line smoothing scheduling algorithm for real-time scalable media stream with the variable network bandwidth and packet loss. This algorithm adopts a rate-distortion optimized framework and real-time scheduling scheme to select and schedule the packets according to the network status. It attempts to minimize the quality variability in client while at the same time maximizing the utilization of the variable network bandwidth. Experiments show that, compared with frame-based scheduling algorithm, our proposed on-line smoothing algorithm not only improves the quality in decoded video frames but also make the quality variation smoother.

Paper Details

Date Published: 18 January 2004
PDF: 9 pages
Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.526367
Show Author Affiliations
Kui Gao, Institute of Computing Technology (China)
Graduate School of Chinese Academy of Sciences (China)
Wen Gao, Institute of Computing Technology (China)
Graduate School of Chinese Academy of Sciences (China)
Simin He, Institute of Computing Technology (China)
Yuan Zhang, Graduate School of Chinese Academy of Sciences (China)
Beijing Broadcasting Institute (China)


Published in SPIE Proceedings Vol. 5308:
Visual Communications and Image Processing 2004
Sethuraman Panchanathan; Bhaskaran Vasudev, Editor(s)

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