DocumentCode
1871715
Title
On modeling genetic pattern search for block motion estimation
Author
Tsai, Jang-Jer ; Hang, Hsueh-Ming
Author_Institution
Dept. of Electron. Eng., Nat. Chiao-Tung Univ., Hsinchu
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1980
Lastpage
1983
Abstract
Pattern search algorithms, such as diamond search, hexagonal search and their variations, have been widely adopted by the block matching motion estimations in the modern video encoding systems. Recently we propose a weighting function (WF) to model the number of search points of a pattern search. Yet, WF fails to properly describe the behavior of the genetic pattern search algorithms due to some over-simplifications in their models. Therefore, we propose a refined weighting function (RWF) to more accurately describe both genetic and non-genetic pattern searches. In addition, we propose a new search algorithm, namely, the momentum directed genetic rhombus pattern search (MD-GRPS). It can accelerate the previous genetic rhombus pattern search by 8% on the average and this concept can be applied to the other genetic pattern searches.
Keywords
genetic algorithms; image matching; motion estimation; search problems; video coding; block matching motion estimation; diamond search; hexagonal search; momentum directed genetic rhombus pattern search; nongenetic pattern search; refined weighting function; video encoding system; Computer errors; Genetic engineering; Image sequences; Motion estimation; Pattern analysis; Pattern matching; Probability distribution; Switches; Video coding; Video sequences; Block motion estimation; Genetic pattern search; Refined weighting function; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4712171
Filename
4712171
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