DocumentCode
1871750
Title
A motion vector difference based self-incremental adaptive search range algorithm for variable block size motion estimation
Author
Chen, Zhenxing ; Liu, Qin ; Ikenaga, Takeshi ; Goto, Satoshi
Author_Institution
Grad. Sch. of Inf., Waseda Univ.
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1988
Lastpage
1991
Abstract
The search range (SR) parameter plays an important role in motion estimation (ME) for video coding. Adaptively adjusting SR according to the information given by previously encoded syntax element, also known as adaptive search range (ASR) algorithm, can efficiently reduce the computational complexity of ME. Compared with heuristic search pattern (HSP) algorithms like diamond/hexagon search, ASR algorithms are more fundamental, flexible and hardware-oriented. This paper although starts with a comparison between HSP and ASP algorithms which is followed by a proposed ASR algorithm with experimental results, however more likely intends to contribute several novel perspectives to this research area.
Keywords
block codes; computational complexity; motion estimation; search problems; video coding; computational complexity; heuristic search pattern algorithm; motion vector difference; self-incremental adaptive search range algorithm; syntax element; variable block size motion estimation; video coding; Acceleration; Automatic speech recognition; Clustering algorithms; Computational complexity; Cost function; Motion estimation; Production systems; Strontium; Video coding; Video sequences; Adaptive Search Range (ASR); Motion Estimation (ME); Motion Vector Difference (MVD); 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.2008.4712173
Filename
4712173
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