Indexing images or videos from their content

In light of the explosion of images and videos that are produced, archived and exchanged on the Internet and in private networks, the manual annotation of their content has become an impossible task. To overcome this hurdle, we contribute to developing technologies that allow for indexing and searching images and videos according to the visual elements they contain. For example, the underlying faces, textual content and places can be recognized by our software. Coherent storage and retrieval of information is achieved through the use of standard, yet evolved metadata formats such as MPEG-7 and RDF.

Related technologies: Test bed for the audio-visual MPEG-7 indexing of documentary films, test bed for indexing and searching filming locations, manual annotation software for generating the visual objects ground-truth in videos, same location image matching engine.

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  • Assemblée générale annuelle du CRIM
    15/06/2017

    Lors de son assemblée générale annuelle qui a eu lieu le 14 juin, le CRIM a annoncé la composition de son conseil d'administration, en plus de dévoiler son rapport d'activités et de présenter les grandes lignes de son nouveau plan stratégique.

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Upcoming event

  • Canadian OGC Summit
    30 June 2017 0:00
    Sheraton Hotel Newfoundland
    The next Open Geospatial Consortium meetings will be held in St. John’s, Newfoundland and Labrador, from June 26-30th, 2017.
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Recent Publications

  • PeopleBot

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  • Numérisation 3D temps réel de pièces avec l'API Google Tango et comparatif au LIDAR

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