This paper proposes a fast statistical approach to recover lost motion vectors in H.264 video coding standard. Unlike
other video coding standards, the motion vectors of H.264 cover smaller area of the video frame being encoded. This
leads to a strong correlation between neighboring motion vectors, thus making H.264 standard amenable for statistical
analysis to recover the lost motion vectors. This paper proposes a Pearson Correlation Coefficient based matching
algorithm that speeds up the recovery of lost motion vectors with very less compromise in visual quality of the recovered
video. To the best of our knowledge, this is the first attempt that employs correlation coefficient for motion vector
recovery. Experimental results obtained by employing the proposed algorithm on standard benchmark video sequences
show that they yield comparable quality of recovered video with significantly less computation than the best reported in
the literature, thus making it suitable for real-time applications.
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