Encrypted Domain Skin Tone Detection for Pornographic Image Filtering

Yaqub, W; Mohanty, M; Memon, N

Encrypted Domain Skin Tone Detection for Pornographic Image Filtering

Yaqub, W Mohanty, M Memon, N

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Publication Type:: Conference Proceeding
Citation:: Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2019
Issue Date:: 2019-02-11

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Field	Value	Language
dc.contributor.author	Yaqub, W	en_US
dc.contributor.author	Mohanty, M	en_US
dc.contributor.author	Memon, N	en_US
dc.date.accessioned	2020-04-09T01:15:23Z
dc.date.available	2020-04-09T01:15:23Z
dc.date.issued	2019-02-11	en_US
dc.identifier.citation	Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2019	en_US
dc.identifier.isbn	9781538692943	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139910
dc.description.abstract	© 2018 IEEE. The unavailability of a pornographic image database has been an impediment for automated detection of child pornographic images. Beyond data confidentiality and privacy issues, even mere possession of such images is illegal in many countries. In this paper, these issues are addressed for skin tone detection, which is an essential component for filtering pornographic images. A pornographic image is encrypted using order preserving encryption, randomization, and permutation. Skin pixels are detected from the encrypted image in the encrypted domain without revealing the image content. Experiments and analysis show that the proposed scheme has low overhead and no degradation in detection accuracy.	en_US
dc.relation.ispartof	Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance	en_US
dc.relation.isbasedon	10.1109/AVSS.2018.8639350	en_US
dc.title	Encrypted Domain Skin Tone Detection for Pornographic Image Filtering	en_US
dc.type	Conference Proceeding
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. The unavailability of a pornographic image database has been an impediment for automated detection of child pornographic images. Beyond data confidentiality and privacy issues, even mere possession of such images is illegal in many countries. In this paper, these issues are addressed for skin tone detection, which is an essential component for filtering pornographic images. A pornographic image is encrypted using order preserving encryption, randomization, and permutation. Skin pixels are detected from the encrypted image in the encrypted domain without revealing the image content. Experiments and analysis show that the proposed scheme has low overhead and no degradation in detection accuracy.

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http://hdl.handle.net/10453/139910