Online smoothing for scalable media stream delivery

Kui Gao; Wen Gao; Simin He; Yuan Zhang

doi:10.1117/12.526367

18 January 2004 Online smoothing for scalable media stream delivery

Kui Gao, Wen Gao, Simin He, Yuan Zhang

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.526367
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

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.

Citation Download Citation

Kui Gao, Wen Gao, Simin He, and Yuan Zhang "Online smoothing for scalable media stream delivery", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.526367

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