DocumentCode :
318279
Title :
An efficient block matching algorithm based on a valid assumption of the convex distortion
Author :
Lin, Chihfeng C. ; Pease, Daniel J. ; Raje, Rajeev R.
Author_Institution :
Syracuse Univ., NY, USA
Volume :
2
fYear :
1997
fDate :
26-29 Oct 1997
Firstpage :
172
Abstract :
This paper describes a new block matching algorithm (BMA), called optimal joint coordinate (OJC) search method, for motion-compensated coding. This method is in conjunction with seeking an optimal match between the pixels of a block in the current frame and the pixels of a corresponding block in the previous frame. Under the mean absolute error (MAE) distortion measure, this method completes searches in logarithm steps. In each step, OJC obtains two local optimum points within a corresponding search area. Also, the method determines a shrinked search quadrant, in which two local optimum points reside, for the next step. Simulation results demonstrate that our OJC search method is an optimal motion estimator. Its overall performance reaches a point where excellent convergence efficiency, high motion accuracy, and low information overhead meet
Keywords :
convergence of numerical methods; image coding; motion compensation; motion estimation; optimisation; transform coding; convergence efficiency; convex distortion; efficient block matching algorithm; high motion accuracy; local optimum points; logarithm steps; low information overhead; mean absolute error distortion measure; motion-compensated coding; optimal joint coordinate search method; optimal motion estimator; performance; shrinked search quadrant; simulation; Artificial intelligence; Computer science; Convergence; Distortion measurement; Information science; Motion estimation; Optimal matching; Q measurement; Search methods; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
Type :
conf
DOI :
10.1109/ICIP.1997.638705
Filename :
638705
Link To Document :
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