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dc.contributor.authorLin, CTen_US
dc.contributor.authorWu, GDen_US
dc.contributor.authorHsiao, SCen_US
dc.date.accessioned2014-12-08T15:45:58Z-
dc.date.available2014-12-08T15:45:58Z-
dc.date.issued1999-12-01en_US
dc.identifier.issn1083-4419en_US
dc.identifier.urihttp://dx.doi.org/10.1109/3477.809037en_US
dc.identifier.urihttp://hdl.handle.net/11536/30919-
dc.description.abstractIn this paper, new techniques for deformed image motion estimation and compensation using variable-size block-matching are proposed, which can be applied to an image sequence compression system or a moving object recognition system. The motion estimation and compensation techniques have been successfully applied in the area of image sequence coding. Many research papers on improving the performance of these techniques have been published; many directions are proposed, which can all lead to better performance than the conventional techniques. Among them, both generalized block-matching and variable-size block-matching are successfully applied in reducing the data rate of compensation error and motion information, respectively. These two algorithms have their merits, but suffer from their drawbacks. Moreover, reducing the data rate in compensation error is sometimes increasing the data rate in motion information, or vice versa, Based on these two algorithms, we propose and examine several algorithms which are effective in reducing the data rate. We then incorporate these algorithms into a system, in which they work together to overcome the disadvantages of individual and keep their merits at the same time, The proposed system can optimally balance the amount of data rate in tno aspects (i.e., compensation error and motion information), Experimental results show that the proposed system outweighs the conventional techniques. Since we propose a recovery operation which tries to recover the incorrect motion vectors from the global motion, this proposed system can also be applied for the moving object recognition in image sequence.en_US
dc.language.isoen_USen_US
dc.subjectblock-matchingen_US
dc.subjectdata rateen_US
dc.subjectgenetic algorithmen_US
dc.subjectimage motion estimationen_US
dc.subjectmoving object recognitionen_US
dc.titleNew techniques on deformed image motion estimation and compensationen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/3477.809037en_US
dc.identifier.journalIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICSen_US
dc.citation.volume29en_US
dc.citation.issue6en_US
dc.citation.spage846en_US
dc.citation.epage859en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000084159500016-
dc.citation.woscount1-
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