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Foveation Scalable Video Coding with Automatic Fixation Selection (2003)
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| Citations: | 58 - 15 self |
BibTeX
@MISC{Wang03foveationscalable,
author = {Zhou Wang and Ligang Lu and Alan C. Bovik},
title = {Foveation Scalable Video Coding with Automatic Fixation Selection},
year = {2003}
}
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Abstract
Image and video coding is an optimization problem. A successful image and video coding algorithm delivers a good tradeo# between visual quality and other coding performance measures, such as compression, complexity, scalability, robustness, and security. In this paper, we follow two recent trends in image and video coding research. One is to incorporate human visual system (HVS) models to improve the current state-of-the-art of image and video coding algorithms by better exploiting the properties of the intended receiver. The other is to design rate scalable image and video codecs, which allow the extraction of coded visual information at continuously varying bit rates from a single compressed bitstream.
Keyphrases
foveation scalable video coding automatic fixation selection current state-of-the-art rate scalable image video coding video codecs good tradeo coded visual information optimization problem single compressed bitstream recent trend visual quality human visual system bit rate performance measure successful image algorithm delivers
