A fast full search motion estimation algorithm using the sum of partial norms
Tae-Myoung Oh, Young-Ro Kim, Won-Gi Hong, Sung-Jea Ko · 2002
We propose a fast block motion estimation algorithm using the sum of partial norms which finds the same motion vectors as the exhaustive full search algorithm with a reduced computational load. Experimental results show that the proposed algorithm is about 3 or 4 times faster than the original exhaustive full search, and is about 2 times faster than the successive elimination algorithm (SEA).