Multi-hypothesis motion compensated prediction (MHMCP) for error-resilient visual communication

Abstract

A multi-hypothesis motion compensated prediction (MHMCP) algorithm, which predicts a block from a weighted superposition of more than one reference block in the frame buffer, is proposed and analyzed for error resilient visual communication. By combining these reference blocks effectively, MHMCP can enhance the error resilient capability of compressed video as well as achieve a coding gain. In particular, we investigate the error propagation effect in the MHMCP coder and analyze the rate-distortion performance in terms of the hypothesis number and hypothesis coefficients. Simulation results are given to confirm the analysis.