Real-time detection of children's skin on social networking sites using Markov random field modelling

Title: Real-time detection of children's skin on social networking sites using Markov random field modelling
Creator: Islam, Mofakharul; Watters, Paul; Yearwood, John
Date: 2011
Type: Text; Journal article
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/41970
Identifier: vital:4288
Identifier: https://doi.org/10.1016/j.istr.2011.09.004
Identifier: ISSN:1363-4127
Abstract: Social networking sites are increasingly being used as the source for paedophiles to search for, download and exchange child exploitation images. Law Enforcement Agencies (LEAs) around the world face a difficult challenge to combat technologically-savvy paedophiles. In this paper, we propose a framework for detecting images containing children's pictures in different poses, with the ultimate view of identifying and classifying images as corresponding to the COPINE scale. To achieve the goal of automatic detection, we present a novel stochastic vision model based on a Markov Random Fields (MRF) prior, which will employ a skin model and human affine-invariant geometric descriptor to detect and identify skin regions containing pornographic contexts. Â© 2011 Published by Elsevier Ltd.
Relation: Information Security Technical Report Vol. 16, no. 2 (2011), p. 51-58
Rights: Copyright Elsevier Ltd
Rights: This metadata is freely available under a CCO license
Subject: Child exploitation; Forensics; MRF models; Skin models
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