Presentation 2007-02-22
Detection of adult images using dynamic skin region growing
Fumihiro ITO, Takahiro HAYASHI, Rikio ONAI,
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Abstract(in English) This paper proposes a method for detection of adult images. The method premises that intended adult images include lots of skin regions, the skin region are homogeneous and agglomerative. The method first makes skin likelihood images using GMM(Gaussian Mixture Model). The method second detects homogeneous skin regions in skin likelihood images. The method dynamically make a threshold every regions, then it's final skin regions that skin regions are grown using the threshold with regard to homogeneousness and agglomeration. And feature vectors are extracted from resized skin likelihood images of marked skin regions. Feature vectors are applied to PCA(principal component analysis) and ICA(independent component analysis). SVM are trained by feature vectors, then trained SVM classifies adult images or not.
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Keyword(in English) Content Filter / Filtering Software / Harmful Information / Adult Image / Skin Detection
Paper # PRMU2006-207,HIP2006-100
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Committee HIP
Conference Date 2007/2/15(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of adult images using dynamic skin region growing
Sub Title (in English)
Keyword(1) Content Filter
Keyword(2) Filtering Software
Keyword(3) Harmful Information
Keyword(4) Adult Image
Keyword(5) Skin Detection
1st Author's Name Fumihiro ITO
1st Author's Affiliation Department of Computer Science, Graduate School of Electro-Communications, The University of Electro-Communications()
2nd Author's Name Takahiro HAYASHI
2nd Author's Affiliation Department of Computer Science, The University of Electro-Communications
3rd Author's Name Rikio ONAI
3rd Author's Affiliation Department of Computer Science, Graduate School of Electro-Communications, The University of Electro-Communications:Department of Computer Science, The University of Electro-Communications
Date 2007-02-22
Paper # PRMU2006-207,HIP2006-100
Volume (vol) vol.106
Number (no) 540
Page pp.pp.-
#Pages 6
Date of Issue