Saraç, Mustafa İlkerDuygulu Pınar2016-02-082016-02-082014-10http://hdl.handle.net/11693/27859Date of Conference: 16-17 October, 2014Conference name: MediaEval 2014 WorkshopThis paper explains the approach proposed by Bilkent - RETINA team for the Retrieving Diverse Social Images task of MediaEval 2014 [1]. We develop a framework which rst removes outliers using one-class support vector machines (SVM) to improve relevance. Second it clusters the eliminated set and retrieves the centroids to diversify the results. We tried to exploit visual only features during our experiments. For the rst run we used the provided visual features and for the second run we used well known visual features like SIFT [2] and GIST [4].EnglishOne-class support vector machineSocial imagesVisual featureSupport vector machinesConference Paper