The forensic detection of very similar images

Richard Connor, Stewart Mackenzie-Leigh, George Weir

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Pages26-32
Number of pages7
Publication statusUnpublished - 23 Jun 2014
EventCyberforensics 2014 - International Conference on Cybercrime, Security & Digital Forensics - University of Strathclyde, Glasgow, United Kingdom
Duration: 23 Jun 201424 Jun 2014

Conference

ConferenceCyberforensics 2014 - International Conference on Cybercrime, Security & Digital Forensics
CountryUnited Kingdom
CityGlasgow
Period23/06/1424/06/14

Keywords

  • forensic detection
  • images
  • investigative techniques
  • illegal images
  • law enforcement agencies
  • criminals

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  • Cite this

    Connor, R., Mackenzie-Leigh, S., & Weir, G. (2014). The forensic detection of very similar images. 26-32. Paper presented at Cyberforensics 2014 - International Conference on Cybercrime, Security & Digital Forensics, Glasgow, United Kingdom.