The forensic detection of very similar images

Tools

Connor, Richard and Mackenzie-Leigh, Stewart and Weir, George (2014) The forensic detection of very similar images. In: Cyberforensics 2014 - International Conference on Cybercrime, Security & Digital Forensics, 2014-06-23 - 2014-06-24, University of Strathclyde. (Unpublished)

Full text not available in this repository.Request a copy

Abstract

In this paper, we describe how current investigative techniques used in the detection of illegal images are starting to fail. We consider a range of solutions which may be applicable, and in particular consider how they may scale as the size of image collections, both those held by law enforcement agencies and potential criminals, increase. We conclude that there is plenty of promise in the automatic detection of near-duplicate copies of images. However, all available methods are, to varying degrees, probabilistic. In the absence of a convincing large image collection, with a known ground truth of near-duplicate containment, it is impossible to make any serious judgement about the best way forward in terms of understanding the delicate balances among scalability, sensitivity, and specificity of detection.

ORCID iDs

Connor, Richard ORCID logoORCID: https://orcid.org/0000-0003-4734-8103, Mackenzie-Leigh, Stewart and Weir, George ORCID logoORCID: https://orcid.org/0000-0002-6264-4480;
CORE (COnnecting REpositories)