[[alternative]]Temporal Error Concealment Using Neighborhood-Matching Principle

[[abstract]]Error concealment is an effective approach to reduce the influence of errors that occurs at the decoders. When error occurs, it may degrade the reconstructed pictures and lead to undesirable visual distortion. In this thesis, we propose two novel temporal error concealment methods for H.264 video streaming. The first method is a multi-side boundary matching (MSBM) algorithm. In which method, a corrupted macroblock (MB) is divided into four sub-blocks and two side information of each sub-block is used to find the best block to recover it. The second method is a neighboring side-matching algorithm, which uses the median value of the motion information of neighboring blocks of a corrupted MB and the motion information of its collocated block in the previous frame as the initial location of the best block. Then this method searches the best block in a small region. Experimental results show that the proposed two methods perform better than the RBM method.