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적응적 피부색 검출을 이용한 포르노그래피 영상 분류 방법

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dc.contributor.author윤종원-
dc.contributor.author박찬우-
dc.contributor.author문영식-
dc.date.accessioned2021-06-23T17:38:32Z-
dc.date.available2021-06-23T17:38:32Z-
dc.date.issued2008-06-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/42388-
dc.description.abstractIn this paper, we present a novel method for classifying pornography images using adaptive skin detection. From an input image, we detect initial skin regions and construct an adaptive skin probability density model using color information for the detected skin regions. From the skin probability density model, we extract feature vectors and train the images using Support Vector Machine to classify pornography images.-
dc.format.extent2-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한전자공학회-
dc.title적응적 피부색 검출을 이용한 포르노그래피 영상 분류 방법-
dc.title.alternativeClassification of Pornography Images Using Adaptive Skin Detection-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation대한전자공학회 2008년 하계종합학술대회 논문집, v.31, no.1, pp 971 - 972-
dc.citation.title대한전자공학회 2008년 하계종합학술대회 논문집-
dc.citation.volume31-
dc.citation.number1-
dc.citation.startPage971-
dc.citation.endPage972-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01017350-
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