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CLC number: TP202
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Received: 2006-09-07
Revision Accepted: 2007-02-07
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A novel adjustable multiple cross-hexagonal search algorithm for fast block motion estimation
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XIE Chun-lai, CHEUNG Chun-ho, LIU Wei-zhong. A novel adjustable multiple cross-hexagonal search algorithm for fast block motion estimation[J]. Journal of Zhejiang University Science A, 2007, 8(8): 1304-1310.
@article{title="A novel adjustable multiple cross-hexagonal search algorithm for fast block motion estimation",
author="XIE Chun-lai, CHEUNG Chun-ho, LIU Wei-zhong",
journal="Journal of Zhejiang University Science A",
volume="8",
number="8",
pages="1304-1310",
year="2007",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2007.A1304"
}
%0 Journal Article
%T A novel adjustable multiple cross-hexagonal search algorithm for fast block motion estimation
%A XIE Chun-lai
%A CHEUNG Chun-ho
%A LIU Wei-zhong
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 8
%P 1304-1310
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A1304
TY - JOUR
T1 - A novel adjustable multiple cross-hexagonal search algorithm for fast block motion estimation
A1 - XIE Chun-lai
A1 - CHEUNG Chun-ho
A1 - LIU Wei-zhong
J0 - Journal of Zhejiang University Science A
VL - 8
IS - 8
SP - 1304
EP - 1310
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.A1304
Abstract: In this paper, we propose a novel adjustable multiple cross-hexagonal search (AMCHS) algorithm for fast block motion estimation. It employs adjustable multiple cross search patterns (AMCSP) in the first step and then uses half-way-skip and half-way-stop technique to determine whether to employ two hexagonal search patterns (HSPs) subsequently. The AMCSP can be used to find small motion vectors efficiently while the HSPs can be used to find large ones accurately to ensure prediction quality. Simulation results showed that our proposed AMCHS achieves faster search speed, and provides better distortion performance than other popular fast search algorithms, such as CDS and CDHS.
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