Copy detection

Copy detection allows to check if a signal is a copy of an original source, even if the copy has been significantly altered: quality corruption, addition of sound s, picture-in-picture inclusion in another video, etc.

We have developed effective techniques, in both precision and speed, for tackling this problem with respect to audio and video signals. These techniques obtained the best result for audio and video copy detection at TRECVID2009 international evaluation and  the 2nd best result in TRECVID 2011.

These techniques have been applied in a wide variety of situations, from duplicate document detection, known advertisement detection, song identification, to film reels editing for movie post-production.

Related technologies: copy detection, known and unknown advertisement detection 

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Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • Checking Sequence Generation for Symbolic Input/Output FSMs by Constraint Solving

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