Foveation scalable video coding with automatic fixation selection

Zhou Wang

doi:10.1109/TIP.2003.809015

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Foveation scalable video coding with automatic fixation selection

2003-02-01

179

Zhou Wang

Ligang Lu

Alan C. Bovik

DOI：10.1109/TIP.2003.809015

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Abstract

En 中文

Image and video coding is an optimization problem. A successful image and video coding algorithm delivers a good tradeoff 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. Specifically, we propose a foveation scalable video coding (FSVC) algorithm which supplies good quality-compression performance as well as effective rate scalability. The key idea is to organize the encoded bitstream to provide the best decoded video at an arbitrary bit rate in terms of foveated visual quality measurement. A foveation-based HVS model plays an important role in the algorithm. The algorithm is adaptable to different applications, such as knowledge-based video coding and video communications over time-varying, multiuser and interactive networks.

Keywords:

foveation

human visual system

image and video quality

rate scalable coding

video coding

wavelet

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