Abstract
In this paper, we develop a framework for efficiently encoding predictive error frames (PEF) as part of a rate
scalable, wavelet-based video compression algorithm. We investigate the use of rate-distortion analysis to
determine the significance of coefficients in the wavelet
decomposition. Based on this analysis, we allocate the bit budget assigned to a PEF to the coefficients that
yield the largest reduction in distortion, while maintaining
the embedded and rate scalable properties of our video compression algorithm.
