Spatio-Temporal Markov Random Field-Based Packet Video Error Concealment

In this paper, a spatio-temporal Markov random field method is proposed for block-based packet video error concealment. We suggest the combined usage of two estimators, one for lost pixels, and one for lost motion vectors. The estimator for the lost pixel field takes surrounding pixels in the same frame where the loss occurred and motion-compensated pixels from a previous frame based on a motion field estimate into account, while the optimal estimator of the motion field takes surrounding pixels in the same frame where the loss occurred, pixels from a previous frame, and the estimator function for the pixel field into account. Our method increases performance in peak signal-to-noise ratio as well as subjective visual performance compared to several other previous error concealment algorithms.