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The IEEE Signal Processing Society announces the fifth edition of the Signal Processing Cup: "Forensic camera model identification challenge" endorsed by the Information Forensics and Security TC.
The goal of this competition is for teams to build a system capable of determining type of camera (manufacturer and model) that captured a digital image without relying on metadata. Teams will use their signal processing expertise to extract traces from images that can be linked with different camera models. The competition will consist of two stages; an open competition that any eligible team can participate in and an invitation-only final competition. Teams participating in the open competition must submit their entries no later than February 8, 2018. The three teams with the highest performance in the open competition will be selected as finalists and will be invited to participate in the final competition. Finalists will be announced on February 17, 2018. The three teams invited to participate in the final competition will be judged at ICASSP 2018, which will be held April 15-20, 2018.
Determining the make and model of the camera that captured an image has been an important research area in information forensics for over a decade. Information about which type of camera captured an image can be used to help determine or verify the origin of an image, and can form an important piece of evidence in scenarios such as analyzing images involved in child exploitation investigations. While metadata may contain information about an image’s source camera, metadata is both easy to falsify and is frequently missing from an image. As a result, signal processing researchers have developed information forensic algorithms that can exploit traces intrinsically present in the image itself.
More information on this and detailed information about the competition can be found on http://signalprocessingsociety.org/get-involved/signal-processing-cup.
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