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dc.contributor.author정제창-
dc.date.accessioned2017-03-15T05:33:58Z-
dc.date.available2017-03-15T05:33:58Z-
dc.date.issued2015-07-
dc.identifier.citationProceedings of the 19th International Conference on Computers(part of CSCC '15), Page. 206-210en_US
dc.identifier.isbn978-1-61804-320-7-
dc.identifier.issn1790-5109-
dc.identifier.urihttp://www.inase.org/library/2015/zakynthos/bypaper/COMPUTERS/COMPUTERS-32.pdf-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/26123-
dc.description.abstractIn this paper, a successive elimination algorithm for truncated gray-coded bitplane matching (TGCBPM) based motion estimation (ME) is proposed. After calculating the lower bound for TGCBPM, we can substantially reduce the computational complexity by skipping the impossible candidate. Experimental results show that this proposed algorithm has an outstanding performance in terms of the computational complexity although the motion accuracy of the proposed algorithm is the same as that of the full search TGCBPM.en_US
dc.language.isoenen_US
dc.publisherCSCC Organizing Committeeen_US
dc.subjectVideo codingen_US
dc.subjectmotion estimationen_US
dc.subjectfull-searchen_US
dc.subjecttruncated gray-coded bit-plane matchingen_US
dc.subjectTGCBPMen_US
dc.titleSuccessive Elimination Algorithm for Truncated Gray-coded Bitplane Matching Based Motion Estimationen_US
dc.typeArticleen_US
dc.relation.page1-5-
dc.contributor.googleauthorKim, Ilseung-
dc.contributor.googleauthorJeong, Jechang-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF ELECTRONIC ENGINEERING-
dc.identifier.pidjjeong-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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