Teaming up with investigators from the State Office of Criminal Investigation in Berlin, Fraunhofer researchers have come up with an automated assistance system for image and video evaluation that can detect child-pornographic images from among even large volumes of data. Many are avid data collectors: when suspects data media are confiscated, detectives must often click their way through hundreds of thousands of files to find the illegal images they seek. The algorithms use up to several thousand characteristics that describe properties such as color, texture and contours in order to analyze whether an image depicts child abuse. If the system is run on a standard PC, it classifies up to ten images per second, drastically accelerating detectives investigations.
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