QoS based video delivery with foveation and bandwidth monitoring

摘要

Spatially varying sensing (foveation) was first used as a means for image compression in our past research [IEEE Systems, Man, and Cybernetics Conference Proceedings, 1993, p. 170]. In this report 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 that 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 depending on the available network resources. Network bandwidth can be optimally monitored following a statistical approach. Experimental results are presented to validate both the bandwidth monitoring algorithm and MPEG foveation.