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Proceedings Paper

Statistical real-time video channels over a multiaccess network
Author(s): Chih-Che Chou; Kang G. Shin
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Paper Abstract

Video frames are usually compressed before their transmission through a network. Due to this compression, some frames will be more important than others when the images are reconstructed at the receiver node, i.e., frames are not independent of one another. Although it is desirable to keep the miss rate of these important frames as low as possible, it is not always appropriate to give them higher priority than other real-time traffic since the performance guarantees of real-time channels could otherwise be compromised. We propose a scheme which can provide performance guarantees to all real-time traffic and also improve the overall frame reconstruction rate without compromising the performance guarantees of inter- dependent video frame streams. Basically, we use a statistical real-time channel to deliver each video stream and dynamically extend the due data of a frame as long as the frame is still useful after its previously-assigned due date. Channels originating from the same source node are multiplexed so that the overall network utilization can be improved. We have simulated the proposed scheme using MPEG-coded frames of the movie Star Wars and the scheme is shown to be able to effectively improve the overall frame reconstruction rate, successfully reduce the link capacity necessary for an MPEG channel to an average level from the worst-case level needed for a channel of the same quality without channel multiplexing, and at the same time provide performance guarantees.

Paper Details

Date Published: 1 April 1994
PDF: 11 pages
Proc. SPIE 2188, High-Speed Networking and Multimedia Computing, (1 April 1994); doi: 10.1117/12.171688
Show Author Affiliations
Chih-Che Chou, Univ. of Michigan (United States)
Kang G. Shin, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 2188:
High-Speed Networking and Multimedia Computing
Arturo A. Rodriguez; Mon-Song Chen; Jacek Maitan, Editor(s)

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