Encrypted Domain Skin Tone Detection for Pornographic Image Filtering

Waheeb Yaqub, Manoranjan Mohanty, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationProceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538692943
DOIs
StatePublished - Feb 11 2019
Event15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018 - Auckland, New Zealand
Duration: Nov 27 2018Nov 30 2018

Publication series

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

Conference

Conference15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018
CountryNew Zealand
CityAuckland
Period11/27/1811/30/18

ASJC Scopus subject areas

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

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  • Cite this

    Yaqub, W., Mohanty, M., & Memon, N. (2019). 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.. https://doi.org/10.1109/AVSS.2018.8639350