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 news

  • CRIM, a key player in the Greater Montreal AI ecosystem
    07/12/2017

    Montréal International presents an overview of Artificial Intelligence in Greater Montreal.

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Upcoming event

  • OGC Testbed 13 Demonstration Event
    13 December 2017 8:30
    Reston, Virginie
    CRIM will be at the Open Geospatial Consortium, OGC Testbed 13 Demonstration & Exposition, 12-13 December 2017 at the USGS in Reston, Virginia.
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