DocumentCode :
2646861
Title :
Lossy Strict Multilevel Successive Elimination Algorithm for Fast Motion Estimation
Author :
Yang Song ; Liu, Zhenyu ; Ikenaga, Takeshi ; Goto, Satoshi
Author_Institution :
Graduate Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu
fYear :
2006
fDate :
12-15 Dec. 2006
Firstpage :
431
Lastpage :
434
Abstract :
This paper present a simple and effective method to further reduce the search points in the multilevel successive elimination algorithm (MSEA). Because the sea values for most of the best matching search positions are much smaller than the current minimum SAD, we can simply increase the calculated sea value to increase the elimination ratio without much affecting the coding efficiency. Compared with the MSEA algorithm, experiments show that the proposed strict MSEA algorithm (SMSEA) can provides almost 6.5 times speedup with stable image quality, which is better than diamond search (DS). In practice, the proposed technique can also be used in the fine granularity SEA (FGSE) algorithm and the calculation process can be traced by analogy
Keywords :
motion estimation; diamond search; fine granularity SEA algorithm; lossy strict multilevel successive elimination algorithm; matching search positions; motion estimation; strict MSEA algorithm; Costs; Frequency; Image quality; Information filtering; Information filters; Low pass filters; Motion estimation; Production systems; Signal processing algorithms; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
Conference_Location :
Yonago
Print_ISBN :
0-7803-9732-0
Electronic_ISBN :
0-7803-9733-9
Type :
conf
DOI :
10.1109/ISPACS.2006.364691
Filename :
4212309
Link To Document :
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