Signal and Data Processing

Despite data resilient methods against error that are applied on video data in transmitter side, occurringerror along video data transferring for communication channels is inevitable. Error concealment is a useful method for improving the quality of damaged videos in receiver side. In this paper, a fast and hybrid boundary matching algorithm is presented for more accurate estimating of damaged motion vectors (MVs) from received video. The proposed algorithm performs the error concealment for each damaged macroblock (MB) according to the preference list of error concealment that it assigns. Then, boundary distortion for each candidate MBis calculated with classic and outer boundary matching criterionsfor each boundary pixel. After reconstructing of each damaged MB, the list of preference is updated. Moreover, depending on accuracy of each adjacent boundary from damaged MB, a special weight is given to them, through match process. Finally, the candidate MVwith the lowest boundary distortion is selected as MV of damaged MB. Experimental results show that the proposed algorithm increases the average of PSNR for different test sequences more than 1.8 dB in comparison with reference methods and without significant increasing in calculation time and with improving the quality of reconstructed videos.