Human-visual-system-based scalable video coding and communications

Ligang Lu; Zhou Wang; Jack L. Kouloheris; Alan Conrad Bovik

doi:10.1117/12.481590

30 August 2002 Human-visual-system-based scalable video coding and communications

Ligang Lu, Zhou Wang, Jack L. Kouloheris, Alan Conrad Bovik

Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002) https://doi.org/10.1117/12.481590
Event: Photonics Asia, 2002, Shanghai, China

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.

Citation Download Citation

Ligang Lu, Zhou Wang, Jack L. Kouloheris, and Alan Conrad Bovik "Human-visual-system-based scalable video coding and communications", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481590

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KEYWORDS

Visualization

Scalable video coding

Video

Image compression

Information visualization

Visual communications

Computer programming

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