Spatio-temporal video error concealment using priority-ranked region-matching

When transmitted over error-prone networks, compressed video sequences may be received with errors. In this paper, we propose a priority-ranked region-matching algorithm to recover the "lost" area of the decoded frames, in which both temporal and spatial correlations of the video sequence are exploited. In the proposed scheme, we first calculate the priorities of all edge pixels of the "lost" area and generate a priority-ranked region group. Then according to their priorities, the regions in the group will search their best matching regions temporally and spatially. Finally, the "lost" area is recovered progressively by the corresponding pixels in the matching regions. Experimental results show that the proposed scheme achieves higher PSNR as well as better video quality in comparison with the method adopted in H.264.