Encrypted Domain Skin Tone Detection for Pornographic Image Filtering

Waheeb Yaqub; Manoranjan Mohanty; Nasir Memon

doi:10.1109/AVSS.2018.8639350

Encrypted Domain Skin Tone Detection for Pornographic Image Filtering

Waheeb Yaqub, Manoranjan Mohanty, Nasir Memon

Center for Cyber Security

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538692943
DOIs	https://doi.org/10.1109/AVSS.2018.8639350
State	Published - Jul 2 2018
Event	15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018 - Auckland, New Zealand Duration: Nov 27 2018 → Nov 30 2018

Publication series

Name	Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance

Conference

Conference	15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018
Country/Territory	New Zealand
City	Auckland
Period	11/27/18 → 11/30/18

ASJC Scopus subject areas

Signal Processing
Computer Vision and Pattern Recognition
Hardware and Architecture
Media Technology

Access to Document

10.1109/AVSS.2018.8639350

Cite this

Yaqub, W., Mohanty, M., & Memon, N. (2018). Encrypted Domain Skin Tone Detection for Pornographic Image Filtering. In Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance Article 8639350 (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AVSS.2018.8639350

Encrypted Domain Skin Tone Detection for Pornographic Image Filtering. / Yaqub, Waheeb; Mohanty, Manoranjan; Memon, Nasir.
Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 2018. 8639350 (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yaqub, W, Mohanty, M & Memon, N 2018, Encrypted Domain Skin Tone Detection for Pornographic Image Filtering. in Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance., 8639350, Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Institute of Electrical and Electronics Engineers Inc., 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018, Auckland, New Zealand, 11/27/18. https://doi.org/10.1109/AVSS.2018.8639350

Yaqub W, Mohanty M, Memon N. Encrypted Domain Skin Tone Detection for Pornographic Image Filtering. In Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc. 2018. 8639350. (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance). doi: 10.1109/AVSS.2018.8639350

Yaqub, Waheeb ; Mohanty, Manoranjan ; Memon, Nasir. / Encrypted Domain Skin Tone Detection for Pornographic Image Filtering. Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance).

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AB - 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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Encrypted Domain Skin Tone Detection for Pornographic Image Filtering

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