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Image and video fingerprinting: forensic applications

Authors: Frédéric Lefèbvre; Bertrand Chupeau; Ayoub Massoudi; Eric Diehl;

Image and video fingerprinting: forensic applications

Abstract

Fighting movie piracy often requires automatic content identification. The most common technique to achieve this uses watermarking, but not all copyrighted content is watermarked. Video fingerprinting is an efficient alternative solution to identify content, to manage multimedia files in UGC sites or P2P networks and to register pirated copies with master content. When registering by matching copy fingerprints with master ones, a model of distortion can be estimated. In case of in-theater piracy, the model of geometric distortion allows the estimation of the capture location. A step even further is to determine, from passive image analysis only, whether different pirated versions were captured with the same camcorder. In this paper we present three such fingerprinting-based forensic applications: UGC filtering, estimation of capture location and source identification.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
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