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

  • 2016-2017 Annual report
    28/06/2017

    Our annual report is available. You will find the highlights of the year.

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Upcoming event

  • Prix Innovation 2017 de l'ADRIQ - Période de mise en candidature
    8 September 2017 0:00
    Le CRIM est heureux d'être partenaire des Prix Innovation 2017 de l'ADRIQ et de contribuer ainsi au rayonnement et à la reconnaissance des innovations technologiques. Période de mise en candidature prolongée jusqu'au 8 septembre 2017.
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Recent Publications

  • PeopleBot

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  • Toward testing from finite state machines with symbolic inputs and outputs

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