In motion compensated frame interpolation, a repetition
pattern in an image makes it difficult to derive an accurate
motion vector because multiple similar local minima exist in
the search space of the matching cost for motion estimation.
In order to improve the accuracy of motion estimation in a
repetition region, this paper attempts a semi-global approach
that exploits both local and global characteristics of a
repetition region. Experimental results demonstrate that the
proposed method significantly outperforms the previous local
approach achieving the PSNR improvement by around 2.59
dB.