Optimization of spatial, temporal and amplitude resolution for rate-constrained video coding and scalable video adaptation
This paper considers how to choose the frame size, frame rate, and quantization stepsize to optimize the perceptual quality for a given rate constraint. The proposed solution leverages previously developed quality and rate models that explicitly consider the impact of spatial, temporal, and amplitude resolution (STAR) on the quality and rate. Using these models we further propose algorithms for ordering the STAR layers to form a rate-quality optimized stream, which can greatly facilitate scalable video adaptation.