DocumentCode :
694539
Title :
An alternative cross-fusiform search algorithm for fast block matching motion
Author :
Wen-Feng Li ; Jun Wu ; Li-Feng Su
Author_Institution :
Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
1097
Lastpage :
1101
Abstract :
Block matching algorithm is generally used in motion estimation. How to search with different shape or size in block matching algorithms has enormous impact on their search speed and distortion performance. Based on analysis the difference of search patterns in block matching algorithms, an alternative cross fusiform search algorithm for fast block motion estimation is proposed in this paper. This algorithm basically employs cross-shaped search pattern in first step and then performs block matching by using a pair of fusiform-shaped search patterns in the subsequence steps. Experimental results show that the proposed ACFS algorithm performs about 20% faster than HEXBS in most of sequences, whereas similar distortion performance is still maintained. In some sequences with small motion, ACFS can even obtain up to 90% speed improvement over HEXBS. Thus, ACFS is particularly suitable for video sequences with small/medium motion.
Keywords :
image matching; motion estimation; video signal processing; ACFS algorithm; block matching algorithm; block matching motion estimation; cross-fusiform search algorithm; cross-shaped search pattern; fusiform-shaped search patterns; video sequences; Algorithm design and analysis; Circuits and systems; Diamonds; Motion estimation; Signal processing algorithms; Vectors; Video sequences; block mathing; cross center biased characteristic; fusiform-shaped pattern; motion estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967294
Filename :
6967294
Link To Document :
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