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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  • Valorisation de la recherche québécoise
    16/09/2020

    Le CRIM salue l’importance que le Ministre Pierre Fitzgibbon accorde à la valorisation de la recherche québécoise et l’ampleur des ressources qu’il y consacrera.

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Upcoming event

  • Santé et sécurité du travail 2020 - Événement les Affaires
    23 September 2020 8:30
    Présentation en ligne
    Le CRIM est fier d'être partenaire de la 10e édition de la conférence Santé et sécurité du travail organisée par les Événement Les Affaires. Présentation en ligne.
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Recent Publications

  • An end-to-end approach for the verification problem: learning the right distance

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  • The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software

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