Event detection from image hosting services by slightly-supervised multi-span context models

Abstract : —We present a method to detect social events in a set of pictures from an image hosting service (Flickr). This method relies on the analysis of user-generated tags, by using statistical models trained on both a small set of manually annotated data and a large data set collected from the Internet. Social event modeling relies on multi-span topic model based on LDA (Latent Dirichlet Allocation). Experiments are conducted in the experimental setup of MediaEval'2011 evaluation campaign. The proposed system outperforms significantly the best system of this benchmark, reaching a F-measure score of about 71%.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01318645
Contributor : Bibliothèque Universitaire Déposants Hal-Avignon <>
Submitted on : Thursday, May 19, 2016 - 5:18:31 PM
Last modification on : Friday, March 22, 2019 - 11:34:07 AM

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Mohamed Morchid, Richard Dufour, Georges Linarès. Event detection from image hosting services by slightly-supervised multi-span context models. 2013 11TH INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI), Jun 2013, VESZPREM,, Hungary. ⟨10.1109/CBMI.2013.6576563⟩. ⟨hal-01318645⟩

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