QoS based video delivery with foveation

Spatially varying sensing (foveation) was first used as a means for image compression in our past research. We extend previous work to address the advantages of foveation in improving the performance of MPEG compression over bandwidth limited channels, such as the Internet. Unlike other approaches to foveating MPEG which used multiresolution representations, we use continuously spatially varying resolution and demonstrate that this approach is indeed advantageous over others. Two parameters, scaling and distortion, are used to allow us to adapt MPEG video to various compression ratios. Experimental results are presented, and can be viewed on the Web, validating our approach.