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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Recent news

  • Le CRIM dévoile son rapport d'activités 2018-2019
    05/07/2019

    Le Centre de recherche informatique de Montréal dévoile son rapport d'activités. Bilan des réalisations et des résultats de l’année.

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Upcoming event

  • 2019 GeoSemantics Symposium
    19 July 2019 0:00
    Tacoma, États-Unis
    Le CRIM prendra part à l'annuel GeoSemantics Symposium qui se déroulera à Tacoma, États-Unis le 15 juillet 2019.
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Recent Publications

  • Forage de données géospatiales, quelques applications

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  • Des technologies perturbatrices pour de futures applications du bâtiment intelligent utilisant AI

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