DocumentCode
3307923
Title
A fast isointensity maps based approach to optimal motion field computation for MPEG coding
Author
Darwish, Tarek ; Seetharam, Guna ; Bayoumi, Magdy
Author_Institution
Center for Adv. Comput. Studies, Univ. of Louisiana, Lafayette, LA
fYear
2003
fDate
12-16 May 2003
Lastpage
282
Abstract
Given a video sequence characterized by correlations in space and time, the objective of motion estimation is to find and accurately represent such correlations. Block matching algorithms are mainly used as the core of the motion estimation unit. Search algorithms include FSBMA, TSSMA, logarithmic etc.. At least 3 isointensity centroids in two frames are required to compute 2-D affine motion. Access to up to 8 isointensity centroids allow for two independent affine motions. Virtual displacement method is used to form linear constraints
Keywords
image coding; image matching; image representation; image resolution; image sequences; motion estimation; search problems; 2D affine motion computation; MPEG coding; block matching algorithm; correlation representation; isointensity map based approach; motion estimation; optimal motion field computation; search algorithm; video sequence; virtual displacement method; Virtual colonoscopy; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Architectures for Machine Perception, 2003 IEEE International Workshop on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-7970-5
Type
conf
DOI
10.1109/CAMP.2003.1598173
Filename
1598173
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