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.

Teams

Industries

Releases

Recent news

  • CRIM and cloud.ca propel VESTA into the cloud
    21/03/2017

    CRIM is pleased to announce the renewal of its partnership with cloud.ca, Canada’s cloud Infrastructure as a Service (IaaS) developed by CloudOps. This partnership allows CRIM to make the demo version of VESTA available to the public.

    +

Upcoming event

  • Colloque Santé numérique 2017
    25 March 2017 9:00
    Pavillon Claire-McNicoll de l'Université de Montréal
    Le CRIM participera à cette conférence qui se tiendra le 25 mars 2017 à l'Université de Montréal.
    +

Recent Publications

  • PeopleBot

    +
  • Détection de menaces par classification de paquets de pare-feu

    +