Selective resolution for surveillance video compression

This paper describes selective resolution (SR), an image compression method which allows the efficient use of available bandwidth with selective preservation of details. SR simply applies perceptually lossless compression to the central part of the image while compressing the peripheral of the image with higher compression. The central part of the image allows higher quality imagery for details while the peripheral efficiently cues the viewers on interesting sites. SR is especially valuable in video with reduced frame rate because successive images would have much less correlation needed for effective interframe algorithms. In fact, SR, which takes advantage of human vision habits, may be viewed as an alternative to interframe compression. We have implemented SR with the motion compensated VQ algorithm