Bilkent-RETINA at Retrieving Diverse Social Images Task of MediaEval 2014

This 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 first 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 first run we used the provided visual features and for the second run we used well known visual features like SIFT [2] and GIST [4].