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This year, our participation to ImageCLEF 2008 (Photo Retrieval sub-task) was motivated by trying to address three different problems: visual concept detection and its exploitation in a retrieval context ... Finally, as one of main goals of the organizers was to promote both relevance and diversity in the retrieval outputs, we designed and assessed several re-ranking strategies that turned out to preserve ... to the Visual Concept Detection sub-task of ImageCLEF 2008 for further information). ...dblp:conf/clef/Ah-PineCCCR08 fatcat:baa2g2lauvcv5nom5zurw4dy2e
Diversity focused Multimedia Retrieval In the 2008 and 2009 sessions an additional sub-task to multimedia retrieval was asked to be adressed by the participants. ... Round Robin of 1 and 3 82.5 81.6 82.0 Conclusion As a conclusion, we would like to underline the main lessons that we learned along three participations in the Photo Retrieval tasks of ImageCLEF: • When ...doi:10.1007/978-3-642-15181-1_17 fatcat:je7zmhdtlvd6vcbbefuipmcz2q
In this paper we present the common effort of Lear and XRCE for the ImageCLEF Visual Concept Detection and Annotation Task. ... This is due to the fast FK framework for image representation, and due to the classifiers. The linear SVM classifier has proven to scale well for large datasets. ... Introduction In our participation to the ImageCLEF Visual Concept Detection and Annotation Task (VCDT) we focused on two main aspects. ...dblp:conf/clef/MensinkCPSV10 fatcat:aif4m4k5yrgcxbkoxs4yab2hbi