Foveated Image and Video Processing and Search
Andrew Floren and Alan C. Bovik, The University of Texas at Austin, Austin, TX, USA, afloren@mail.utexas.edu, bovik@ece.utexas.edu
Abstract
In this article, we present an overview of current techniques used for foveating images and video. We provide a brief introduction to relevant aspects of the human visual system and how they motivate the idea of foveated, or variable resolution, images. We explore the idea of foveation as a perceptually lossless compression scheme and how foveation can be integrated into modern video coding algorithms. We also explore foveation as an efficient processing scheme that is useful when visual resources, such as bandwidth and computation, are constrained. ...
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