Leveraging deep neural networks to fight child pornography in the age of social media.

Journal of Visual Communication and Image Representation(2018)

引用 61|浏览20
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摘要
•Our totally data-driven method distinguish SEIC from adult and innocuous content.•Our solution gives an error reduction of up to 70% comparing to skin detector systems.•In the case of BoVW-based method, our solution leads to an error reduction of 56%.•Our solution shows remarkable improvements over also forensic and commercial tools.•We produce a virtual machine, ready for initial deployments by law-enforcement agents.
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关键词
Child pornography,SEIC content,Deep learning,Transfer learning,Fine tuning
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