Vision model based video perceptual distortion measure for video processing and applications

A perceptual video distortion measure system based on the human vision model is presented. This system is an extension of the still perceptual distortion measure system. One advantage of the distortion measure is that the distortion can be weighted for frames in the vicinity of scene cuts. Our video distortion measure also requires less computation compared to other approaches. The perceptual distortion measure has wide use in video processing and applications, such as in the selection of the quantization matrices, the selection of the mquant parameter, and as a criterion for mode decision in MPEG encoders. Simulation results are presented.