결합 유사 척도를 이용한 동영상 분할 및 영역 정보의 적응적 근사화 방안 = Dynamic scene segmentation using a combined similarity criterion and adaptive shape approximation method

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dc.contributor.advisor김성대-
dc.contributor.advisorKim, Seong-Dae-
dc.contributor.author이시웅-
dc.contributor.authorLee, Si-Woong-
dc.date.accessioned2011-12-14-
dc.date.available2011-12-14-
dc.date.issued1997-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=128037&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/36387-
dc.description학위논문(박사) - 한국과학기술원 : 전기및전자공학과, 1997.8, [ x, 112 p. ]-
dc.languagekor-
dc.publisher한국과학기술원-
dc.subject시간축 추적-
dc.subject유사 척도-
dc.subject영상 분할-
dc.subject영역 근사화-
dc.subjectShape approximation-
dc.subjectTemporal tracking-
dc.subjectSimilarity criterion-
dc.subjectImage segmentation-
dc.title결합 유사 척도를 이용한 동영상 분할 및 영역 정보의 적응적 근사화 방안 = Dynamic scene segmentation using a combined similarity criterion and adaptive shape approximation method-
dc.typeThesis(Ph.D)-
dc.identifier.CNRN128037/325007-
dc.description.department한국과학기술원 : 전기및전자공학과, -
dc.identifier.uid000935269-
dc.contributor.localauthor김성대-
dc.contributor.localauthorKim, Seong-Dae-
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EE-Theses_Ph.D.(박사논문)
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