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A New Anchor Shot Detection System for News Video Indexing

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dc.contributor.author이한성-
dc.contributor.author임영희-
dc.contributor.author박주영-
dc.contributor.author박대희-
dc.date.accessioned2021-09-09T14:53:47Z-
dc.date.available2021-09-09T14:53:47Z-
dc.date.created2021-06-17-
dc.date.issued2008-
dc.identifier.issn1976-9172-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/125048-
dc.description.abstractIn this paper, we propose a novel anchor shot detection system, named to MASD (Multi-phase Anchor Shot Detection), which is a core step of the preprocessing process for the news video analysis. The proposed system is composed of four modules and operates sequentially: 1) skin color detection module for reducing the candidate face regions; 2) face detection module for finding the key-frames with a facial data; 3) vector representation module for the key-frame images using a non-negative matrix factorization; 4) one class SVM module for determining the anchor shots using a support vector data description. Besides the qualitative analysis, our experiments validate that the proposed system shows not only the comparable accuracy to the recently developed methods, but also more faster detection rate than those of others.-
dc.languageEnglish-
dc.language.isoen-
dc.publisher한국지능시스템학회-
dc.titleA New Anchor Shot Detection System for News Video Indexing-
dc.title.alternativeA New Anchor Shot Detection System for News Video Indexing-
dc.typeArticle-
dc.contributor.affiliatedAuthor박주영-
dc.identifier.bibliographicCitation한국지능시스템학회 논문지, v.18, no.1, pp.133 - 138-
dc.relation.isPartOf한국지능시스템학회 논문지-
dc.citation.title한국지능시스템학회 논문지-
dc.citation.volume18-
dc.citation.number1-
dc.citation.startPage133-
dc.citation.endPage138-
dc.type.rimsART-
dc.identifier.kciidART001223708-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthoranchor shot detection-
dc.subject.keywordAuthorface detection-
dc.subject.keywordAuthorNMF-
dc.subject.keywordAuthorSVM-
dc.subject.keywordAuthorSVDD-
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