Texture Based Selective Block Matching Algorithm for Error Concealment

Error concealment (EC) techniques are often adopted at decoder side to improve the reconstructed video qualities. In this paper, a texture based selective boundary matching algorithm (TSBMA) is proposed to conceal erroneous macro-blocks (EMBs). Different from the conventional boundary matching algorithms which are carried out progressively in the raster scan mode, the processing order of the TSBMA for an EMB in a connected EMBs region is determined by the texture intensity information of its neighboring blocks, which are correct or recovered. The EMB with maximum texture intensity in its neighbors are firstly recovered. It is likely that the EMB which has more corrected MBs in its neighbors with stronger texture intensity has higher possibility to be recovered accurately, which will provide valuable information to recover the left EMBs in its neighbors. Thus, the proposed TSBMA can avoid the dependent recovery problem in the conventional BMAs. Moreover, the influence of boundary width and confidences of boundaries on the recovery results are discussed. Comparison results with different error concealment methods on several video sequences show the effectiveness of the proposed TSBMA.