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Patch-based skin color detection and its application to pornography image filtering

Authors:

Haiqiang Zuo,

Weiming Hu,

Ou WuAuthors Info & Claims

WWW '10: Proceedings of the 19th international conference on World wide web

Pages 1227 - 1228

https://doi.org/10.1145/1772690.1772887

Published: 26 April 2010 Publication History

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Abstract

Along with the explosive growth of the World Wide Web, an immense industry for the production and consumption of pornography has grown. Though the censorship and legal restraints on pornography are discriminating in different historical, cultural and national contexts, selling pornography to minors is not allowed in most cases. Detecting human skin tone is of utmost importance in pornography image filtering algorithms. In this paper, we propose two patch-based skin color detection algorithms: regular patch and irregular patch skin color detection algorithms. On the basis of skin detection, we extract 31-dimensional features from the input image, and these features are fed into a random forest classifier. Our algorithm has been incorporated into an adult-content filtering infrastructure, and is now in active use for preventing minors from accessing pornographic images via mobile phones.

References

[1]

V. Vezhnevets, V. Sazonov, A. Andreeva. A Survey on Pixel-Based Skin Color Detection Techniques. Graphicon, 2003.

Google Scholar

[2]

R. Hsu, M. Abdel-Mottaleb, A. K. Jain. Face Detection in Color Images. PAMI, 2002.

Google Scholar

[3]

P. Felzenszwalb and D. Huttenlocher. Efficient graph-based image segmentation. IJCV, 2004.

Digital Library

Google Scholar

[4]

O. Tuzel, F. Porikli, and P. Meer. Region Covariance: A Fast Descriptor for Detection and Classification. ECCV, 2006.

Digital Library

Google Scholar

[5]

M. J. Jones and J. M. Rehg. Statistical color models with application to skin detection. CVPR, 1999.

Crossref

Google Scholar

[6]

L. Breiman. Random Forests. Machine Learning, 2001.

Digital Library

Google Scholar

[7]

P. Viola and M. J. Jones. Rapid Object Detection Using a Boosted Cascade of Simple Features. CVPR, 2001.

Crossref

Google Scholar

[8]

H. Zheng, M. Daoudi and B. Jedynak. Blocking Adult Images Based on Statistical Skin Detection. ELCVIA, 2004.

Crossref

Google Scholar

[9]

M. K. Hu. Visual Pattern Recognition by Moment Invariants. IRE Trans. Info. Theory, 1962.

Google Scholar

[10]

C. R. Aragon, D. B. Aragon. A fast contour descriptor algorithm for supernova image classification. SPIE, 2007.

Crossref

Google Scholar

Cited By

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Lee LLi JKu STseng Y(2023)Filtering objectionable information access based on click-through behaviours with deep learning methodsJournal of Information Science10.1177/01655515231160041Online publication date: 7-Mar-2023
https://doi.org/10.1177/01655515231160041
Gupta JPathak SKumar G(2022)Aquila coyote-tuned deep convolutional neural network for the classification of bare skinned images in websitesInternational Journal of Machine Learning and Cybernetics10.1007/s13042-022-01591-x13:10(3239-3254)Online publication date: 29-Jun-2022
https://doi.org/10.1007/s13042-022-01591-x
Spalazzi LPaolanti MFrontoni E(2021)An offline parallel architecture for forensic multimedia classificationMultimedia Tools and Applications10.1007/s11042-021-10819-x81:16(22715-22730)Online publication date: 2-Apr-2021
https://doi.org/10.1007/s11042-021-10819-x
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Index Terms

Patch-based skin color detection and its application to pornography image filtering
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Information

Published In

WWW '10: Proceedings of the 19th international conference on World wide web

April 2010

1407 pages

ISBN:9781605587998

DOI:10.1145/1772690

General Chairs:
Michael Rappa
North Carolina State University, USA
,
Paul Jones
University of North Carolina at Chapel Hill, USA
,
Program Chairs:
Juliana Freire
University of Utah, USA
,
Soumen Chakrabarti
Indian Institute of Technology, India

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2010

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WWW '10

WWW '10: The 19th International World Wide Web Conference

April 26 - 30, 2010

North Carolina, Raleigh, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Lee LLi JKu STseng Y(2023)Filtering objectionable information access based on click-through behaviours with deep learning methodsJournal of Information Science10.1177/01655515231160041Online publication date: 7-Mar-2023
https://doi.org/10.1177/01655515231160041
Gupta JPathak SKumar G(2022)Aquila coyote-tuned deep convolutional neural network for the classification of bare skinned images in websitesInternational Journal of Machine Learning and Cybernetics10.1007/s13042-022-01591-x13:10(3239-3254)Online publication date: 29-Jun-2022
https://doi.org/10.1007/s13042-022-01591-x
Spalazzi LPaolanti MFrontoni E(2021)An offline parallel architecture for forensic multimedia classificationMultimedia Tools and Applications10.1007/s11042-021-10819-x81:16(22715-22730)Online publication date: 2-Apr-2021
https://doi.org/10.1007/s11042-021-10819-x
Velastegui RYang LHan D(2021)The Importance of Color Spaces for Image Classification Using Artificial Neural Networks: A ReviewComputational Science and Its Applications – ICCSA 202110.1007/978-3-030-86960-1_6(70-83)Online publication date: 11-Sep-2021
https://doi.org/10.1007/978-3-030-86960-1_6
Chen JLiang GHe WXu CYang JLiu R(2020)A Pornographic Images Recognition Model based on Deep One-Class Classification With Visual Attention MechanismIEEE Access10.1109/ACCESS.2020.29887368(122709-122721)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2988736
Xu WParvin HIzadparast H(2020)Deep Learning Neural Network for Unconventional Images ClassificationNeural Processing Letters10.1007/s11063-020-10238-3Online publication date: 23-Apr-2020
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Maktabdar Oghaz MMaarof MRohani MZainal AShaid S(2019)An optimized skin texture model using gray-level co-occurrence matrixNeural Computing and Applications10.1007/s00521-017-3164-831:6(1835-1853)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s00521-017-3164-8
Ashan BCho HLiu Q(2019)Performance Evaluation of Transfer Learning for Pornographic DetectionAdvances in Natural Computation, Fuzzy Systems and Knowledge Discovery10.1007/978-3-030-32591-6_43(403-414)Online publication date: 7-Nov-2019
https://doi.org/10.1007/978-3-030-32591-6_43
Wu OMao XHu W(2017)Iteratively Divide-and-Conquer Learning for Nonlinear Classification and RankingACM Transactions on Intelligent Systems and Technology10.1145/31228029:2(1-26)Online publication date: 23-Oct-2017
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Lei YYuan WWang HWenhu YBo W(2017)A Skin Segmentation Algorithm Based on Stacked AutoencodersIEEE Transactions on Multimedia10.1109/TMM.2016.263820419:4(740-749)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1109/TMM.2016.2638204
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Skin color enhancement based on favorite skin color in HSV color space

Research on a Skin Color Detection Algorithm Based on Self-adaptive Skin Color Model

A region-based skin color detection algorithm

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