An iterative temporal error concealment algorithm for degraded video signals

Error concealment is an essential part of reliable video communication systems because transmission errors are inevitable even when the coded bitstream is highly protected. The problem of temporal EC can be factored into two parts regarding candidate motion vectors (MVs) employed and the matching criterion to evaluate the fitness of each candidate MV. In order to obtain more faithful EC results, this paper proposes a novel iterative e EC algorithm, in which an efficient was to provide candidate MVs and a new fitness measure are presented. The proposed approach fur candidate MVs systematically utilizes all the available neighboring MVs by exploiting a well-known spatiotemporal correlation of block MVs. Also, in order to remove the dependency of a damaged block's quality of concealment on the already concealed adjacent blocks, we develope a new matching criterion. The objective of the proposed fitness measure is to minimize the total boundary matching errors induced by the whole corrupted blocks. Simulations performed using all H.263 codec demonstrate a significant improvement on the subjective and objective e concealed video qualities, especially when the corrupted area is wider than a single row of coding blocks.