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Proceedings Paper

Human-visual-system-based scalable video coding and communications
Author(s): Ligang Lu; Zhou Wang; Jack L. Kouloheris; Alan Conrad Bovik
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Paper Abstract

This paper introduces our recent research work on the development of a scalable foveated visual information coding and communication system, which follows two emerging trends in visual communication research. One is to design rate scalable image and video codecs, which allow the extraction of coded visual information at contin- uously varying bit rates from a single compressed bitstream. The other is to incorporate human visual system models to improve the state-of-the-art of image and video coding techniques by better exploiting the properties of the intended receiver. The central idea of the proposed system is to organize the encoded bitstream to provide the best decoded visual information at an arbitrary bit rate in terms of foveated visual quality measurement. Such a scalable foveated visual information processing system has many potential applications in the eld of vi- sual communications. Signi cant examples include network image browsing, network videoconferencing, robust visual communication over noisy channels, and visual communication over active networks.

Paper Details

Date Published: 30 August 2002
PDF: 10 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481590
Show Author Affiliations
Ligang Lu, IBM Thomas J. Watson Research Ctr. (United States)
Zhou Wang, ImageQuant Inc. (United States)
Jack L. Kouloheris, IBM Thomas J. Watson Research Ctr. (United States)
Alan Conrad Bovik, Univ. of Texas at Austin (United States)


Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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