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