DocumentCode :
2199411
Title :
A fast full search motion estimation algorithm using the sum of partial norms
Author :
Tae-Myoung Oh ; Young-Ro Kim ; Won-Gi Hong ; Sung-Jea Ko
Author_Institution :
Dept. of Electron. Eng., Korea Univ., Seoul, South Korea
fYear :
2000
fDate :
13-15 June 2000
Firstpage :
236
Lastpage :
237
Abstract :
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).
Keywords :
image sequences; motion estimation; search problems; exhaustive full search algorithm; experimental results; fast block motion estimation algorithm; fast full search motion estimation algorithm; image sequences; motion vectors; reduced computational load; simulation results; successive elimination algorithm; sum of partial norms; Delay effects; Difference equations; Educational institutions; Motion estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2000. ICCE. 2000 Digest of Technical Papers. International Conference on
Conference_Location :
Los Angles, CA, USA
Print_ISBN :
0-7803-6301-9
Type :
conf
DOI :
10.1109/ICCE.2000.854602
Filename :
854602
Link To Document :
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