DocumentCode
2807609
Title
New Sorting Technique on Partial Distortion Search Using Two Bit-Transform for Fast Optimal Motion Estimation
Author
Chen, Hung-Ming ; Chen, Po-Hung ; Ciou, Jian-Hong
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Taichung Inst. of Technol., Taichung, Taiwan
fYear
2011
fDate
21-23 Nov. 2011
Firstpage
276
Lastpage
279
Abstract
This paper proposes a novel two bit-transform sorting technique to get a better matching order on the loss less partial distortion search (PDS) algorithm. By sorting the level difference sets calculated from the approximate distortion between the two-bit transformed reference block and candidate block, the matching order can be computed to apply to the typical PDS. To reduce the checked pixels further, the initial minimum sum of absolute difference (SAD) is derived from the cardinality of the level difference sets among candidate blocks. The experimental results indicate the proposed algorithm reduces computational complexity by about 27% on average compared with the typical PDS in terms of the average number of the checked pixels for night benchmark sequences.
Keywords
computational complexity; image matching; motion estimation; nonlinear distortion; search problems; sorting; candidate block; computational complexity; fast optimal motion estimation; partial distortion search algorithm; sum of absolute difference; two bit-transform sorting technique; two-bit transformed reference block; Algorithm design and analysis; Approximation algorithms; Computational complexity; Handheld computers; Motion estimation; Sorting; Vectors; block matching; fast full search; motion estimation; partial distortion search; video encoding;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot, Vision and Signal Processing (RVSP), 2011 First International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-1-4577-1881-6
Type
conf
DOI
10.1109/RVSP.2011.24
Filename
6115001
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