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dc.contributor.authorLin, Shin-Yeuen_US
dc.contributor.authorSu, Chong-Weien_US
dc.contributor.authorHuang, Jung-Shouen_US
dc.date.accessioned2014-12-08T15:21:03Z-
dc.date.available2014-12-08T15:21:03Z-
dc.date.issued2011-02-15en_US
dc.identifier.issn0957-4174en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.eswa.2011.09.012en_US
dc.identifier.urihttp://hdl.handle.net/11536/14962-
dc.description.abstractIn this paper, we propose an expert-system based parallel multi-1-dimensional block matching algorithm (ESPM-1D-BMA) for motion estimation (ME). Instead of the conventional 2D block matching, we employ the parallel multi-1D blocks matching to improve the computing speed. To improve the ME accuracy, we design a knowledge base and inference engine to determine the true motion vector (MV) from the results of parallel multi-1D blocks matching. To speed up the computing speed further, we present a hardware architecture for implementing the ESPM-1D-BMA. We have demonstrated that the MV estimation accuracy achieved by the proposed ESPM-1D-BMA is much better than the comparing fast block matching algorithms and is close to the 2 dimensional full search block matching algorithm (2D-FSBMA). We also demonstrate that the computing speed of the proposed ESPM-1D-BMA is about two times as fast as the mixed-signal 2D-FSBMA (MS-2D-FSBMA). (C) 2011 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.titleExpert system based parallel multi-1D block matching algorithm with implementation for motion estimationen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.eswa.2011.09.012en_US
dc.identifier.journalEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.citation.volume39en_US
dc.citation.issue3en_US
dc.citation.spage3249en_US
dc.citation.epage3256en_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:000297823300108-
dc.citation.woscount0-
顯示於類別:期刊論文