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에지 특징을 이용한 포르노그래피 영상 분류 방법

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dc.contributor.author윤종원-
dc.contributor.author박찬우-
dc.contributor.author문영식-
dc.date.accessioned2021-06-23T17:02:15Z-
dc.date.available2021-06-23T17:02:15Z-
dc.date.issued2008-11-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/42010-
dc.description.abstractIn this paper, we present a novel method for pornography classification using edge feature. We perform detecting a initial skin region in a input image to construct adaptive skin probability density model. From a skin probability density model, we extract skin region and edge feature in a input image and classify pornography image by SVM classification.-
dc.format.extent2-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한전자공학회-
dc.title에지 특징을 이용한 포르노그래피 영상 분류 방법-
dc.title.alternativePornography Classification Using Edge Feature-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation대한전자공학회 2008년 정기총화 및 추계종합학술대회 논문집, pp 805 - 806-
dc.citation.title대한전자공학회 2008년 정기총화 및 추계종합학술대회 논문집-
dc.citation.startPage805-
dc.citation.endPage806-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01596069-
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