Journal article

NAHHAS Ibrahim and DRAHANSKÝ Martin. Analysis of Block Matching Algorithms with Fast Computational and Winner-update Strategies. International Journal of Signal Processing, Image Processing and Pattern Recognition. 2013, vol. 6, no. 3, pp. 129-137. ISSN 2005-4254. Available from: http://www.sersc.org/journals/IJSIP/vol6_no3/11.pdf
Publication language:english
Original title:Analysis of Block Matching Algorithms with Fast Computational and Winner-update Strategies
Title (cs):Analýza algoritmů porovnávání bloků s rychlými výpočetními a vítězně-aktualizačními strategiemi
Pages:129-137
Place:KR
Year:2013
URL:http://www.sersc.org/journals/IJSIP/vol6_no3/11.pdf
Journal:International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 6, No. 3, KR
ISSN:2005-4254
Keywords
block matching, motion estimation, FS, FCFS, TSS, NTSS, 4SS, DS.
Annotation
Block matching for motion estimation has been widely used in video compression for efficient transmission and storage of video data by reducing the temporal redundancy existing in video sequences. The motion estimation is a process which determines the motion between two frames of a video signal. This paper is primarily a review of the block matching algorithms using fast computational and winner-update strategies. Here are described and analyzed 7 different types of block matching algorithms, namely Full Search (FS), Fast Computational of Full Search (FCFS), Three Step Search (TSS), New Three Step Search (NTSS), Three Step Search with Winner Update Strategy (WinUpTSS), Four Step Search (FSS) and Diamond Search (DS) algorithms.
BibTeX:
@ARTICLE{
   author = {Ibrahim Nahhas and Martin Drahansk{\'{y}}},
   title = {Analysis of Block Matching Algorithms with Fast
	Computational and Winner-update Strategies},
   pages = {129--137},
   journal = {International Journal of  Signal Processing, Image
	Processing and Pattern Recognition},
   volume = {6},
   number = {3},
   year = {2013},
   ISSN = {2005-4254},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10262}
}

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