Adaptive quantization using a perceptual visibility predictor

This work addresses the optimization of video services by improving the bit allocation stage in a video encoder. We first introduce a new block-based video metric based on a vision model, termed the perceptual visibility predictor (PVP), which accounts for spatial as well as temporal perceptual activities. In other words, we propose a way to classify sequence areas in terms of their relevance to human perception. We then briefly show how this metric may be used within a one-pass casual adaptive quantization scheme applied to MPEG-2 video encoding.