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dc.contributor.author문영식-
dc.date.accessioned2019-05-20T02:27:34Z-
dc.date.available2019-05-20T02:27:34Z-
dc.date.issued2008-06-
dc.identifier.citation대한전자공학회 2008년 하계종합학술대회, Page. 971-972en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE01017350-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/104651-
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.en_US
dc.language.isoko_KRen_US
dc.publisher대한전자공학회en_US
dc.title적응적 피부색 검출을 이용한 포르노그래피 영상 분류 방법en_US
dc.title.alternativeClassification of Pornography Images Using Adaptive Skin Detectionen_US
dc.typeArticleen_US
dc.contributor.googleauthor윤종원-
dc.contributor.googleauthor박찬우-
dc.contributor.googleauthor문영식-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
Appears in Collections:
COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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