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

  • Blogue du CRIM - Manipuler les variables catégoriques dans un jeu de données
    12/07/2018

    Dans cet article, Farooq Sanni et Martin Sotir nous présentent différentes méthodes et astuces pour gérer les variables catégoriques.

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Upcoming event

  • QRS - SSCPS - IA 2018
    20 July 2018 0:00
    Lisbonne, Portugal
    Le CRIM présentera trois articles scientifiques au QRS 2018.
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Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • État des lieux des technologies web

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