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

Releases

Recent news

  • GeoImageNet: artificial intelligence applied to satellite images!
    29/04/2019

    CRIM is proud to be part of an innovative project that will support the work of Canadian geospatial researchers to accelerate innovation in this leading-edge sector.

    +

Upcoming event

  • Croesus lunch and learn series for financial services
    24 May 2019 12:00
    Toronto (restaurant Terroni)
    CRIM will participate at this Croesus lunch and learn to be held on May 24, 2019 in Toronto
    +

Recent Publications

  • Forage de données géospatiales, quelques applications

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

    +