Paper
28 December 1998 Expanding network video capacity with delay-cognizant video coding
Yuan-Chi Chang, David G. Messerschmitt, Thom Carney
Author Affiliations +
Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334730
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
Prior work on statistical multiplexing of variable-bit-rate network video shows higher video capacity (more video connections) can be supported if connections have smoother traffic profiles. For delay critical applications like videoconferencing, smoothing a compressed bit stream indiscriminately is not an option because excess delay would be introduced. In this paper, we presented an application of delay cognizant video coding (DCVC) to expand the network video capacity by performing traffic smoothing discriminatively. DCVC segments the raw video data and generates two compressed video flows with differential delay requirements, a delay-critical flow and a delay-relaxed flow. The delay-critical flow carries less video information and is thus less bursty. The delay-relaxed flow complements the first flow and the magnitude of its bursts can be reduced by traffic smoothing. We demonstrated that at equal visual quality measured in PSNR, the network video capacity could be increased by as mush as 50 percent through the two-flow discriminative traffic smoothing.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan-Chi Chang, David G. Messerschmitt, and Thom Carney "Expanding network video capacity with delay-cognizant video coding", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334730
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Cited by 4 scholarly publications.
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KEYWORDS
Video

Video coding

Video compression

Computer programming

Image quality

Image segmentation

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