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

  • CRIM is part of one of the world's top 100 R&D projects of 2017!
    12/12/2017

    The ESGF initiative was recently selected as one of the top 100 R&D projects of 2017 by the R&D 100 Awards. ESGF (Earth System Grid Federation) is a concerted development effort in climate and Earth System science that brings together several major...

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Upcoming event

  • OGC Testbed 13 Demonstration Event
    13 December 2017 8:30
    Reston, Virginie
    CRIM will be at the Open Geospatial Consortium, OGC Testbed 13 Demonstration & Exposition, 12-13 December 2017 at the USGS in Reston, Virginia.
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Recent Publications

  • Projet patrimoine TARV

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  • PeopleBot

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