A Fast and Hybrid Boundary Matching Algorithm for Temporal Error Concealment of Video Data

Despite error resilient methods that are applied on video data in transmitter side¡ occurring error along video data transferring for communication channels is inevitable. Error concealment is a useful method for improving the quality of damaged videos on the 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. According to the preference list of error concealment¡ the proposed algorithm performs the error concealment for each damaged macroblock (MB). In the presented method¡ the boundary distortion is calculated for each pixel from each candidate MB''s boundary with use of proposed hybrid boundary matching criterion. Then¡ depending on the accuracy of each adjacent boundary from damaged MB¡ a special weight is given to them through match process. Finally¡ the list of error concealment preference is updated and the candidate MV with the lowest boundary distortion is selected as the 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.