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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  • Enjeux de l’exploitation des données : une première conférence réseautage dynamique et riche d’échanges!
    14/03/2019

    La première conférence réseautage organisée par le CRIM et Lavery Avocats fut un franc succès, attirant une quarantaine de personnes dans les bureaux de Lavery.

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Upcoming event

  • Sécurité de l'information 2019 - Événement Les Affaires
    20 March 2019 8:15
    Centre-Ville, Montréal
    Le CRIM fier partenaire de la 5e édition de la conférence sur la «Sécurité de l'information», organisée par les Événements Les Affaires, qui se tiendra le 20 mars 2019 au Centre-Ville de Montréal.
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Recent Publications

  • Object Counting on Low Quality Images: A Case Study of Near Real-Time Traffic Monitoring

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  • Object Counting on Low Quality Images: A Case Study of Near Real-Time Traffic Monitoring

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