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2008
IEEE

Long term learning for image retrieval over networks

9 years 12 months ago
Long term learning for image retrieval over networks
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the similarity function and the best routing for the searched category. Our system is based on mobile agents crawling the network in search of relevant images. An ant-behavior algorithm is used to learn the category dependent routing. With experiments on trecvid'05 key-frame dataset, we show that the smart association of category dependent routing and active learning leads to an improvement of the quality of the retrieval.
David Picard, Arnaud Revel, Matthieu Cord
Added 20 Oct 2009
Updated 20 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors David Picard, Arnaud Revel, Matthieu Cord
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