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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  • Jan. 29 : CRIM's Journée Techno - 5G
    15/01/2019

    5G: business model transformation, socioeconomic impacts and new technological landscape. Get the tools you need to make the most of these new opportunities!

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  • ICCSP 2019
    21 January 2019 0:00
    Kuala Lumpur, Malaysia
    CRIM will present an article at the 3rd International Conference on Cryptography, Security and Privacy, which will take place January 19th to 21th, 2019 in Kuala Lumpur, Malaysia.
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Recent Publications

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

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  • Checking Sequence Generation for Symbolic Input/Output FSMs by Constraint Solving

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