Location: Conferences » External contributions » Semantic and Digital Media Technologies

PLATO for Information Mining in Satellite Imagery

author: Marine Campedel, +LTCI, TELECOM ParisTech and CNRS
published: Dec. 18, 2008,   recorded: December 2008,   views: 2595


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Satellite images are numerous and weakly exploited: it is urgent to develop an efficient and fast indexing/retrieval system to easy their access. Content-based image retrieval systems (CBIR) are known to provide an efficient framework. We thus propose to associate a CBIR approach with text-based queries to adapt to these big (12000$\times$12000 pixels) and semantically rich images. The presented system relies on a multimedia data mining system called PLATO able to adapt to any kind of multimedia data. Moreover state-of-the-art relevance feedback strategy is introduced to provide interactive learning and auto annotation.

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