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

  • Classo - CRIM Experts Contribute to the Development of Educational Solutions
    03/09/2019

    Classo aims to make digital educational resources more easily accessible to education professionals via an online platform.

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Upcoming event

  • ICoCSec2019
    26 September 2019 0:00
    Malaisie
    Le CRIM présentera 2 articles lors de l'International Conference on Cybersecurity 2019 (ICoC2019). Organisé par Universiti Sains Islam Malaysia en Malaisie, les 25 et 26 septembre 2019.
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Recent Publications

  • Forage de données géospatiales, quelques applications

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

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