Browsing by Subject "Social images"

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    Bilkent-RETINA at retrieving diverse social images task of MediaEval 2014
    (CEUR-WS, 2014-10) Saraç, Mustafa İlker; Duygulu Pınar
    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 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].
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    ItemOpen Access
    MUCKE participation at retrieving diverse social images task of MediaEval 2013
    (CEUR-WS, 2013) Armağan, Anıl; Popescu, A.; Duygulu, Pınar
    The Mediaeval 2013 Retrieving Diverse Social Image Task addresses the challenge of improving both relevance and diversity of photos in a retrieval task on Flickr. We propose a clustering based technique that exploits both textual and visual information. We introduce a k-Nearest Neighbor (k-NN) inspired re-ranking algorithm that is applied before clustering to clean the dataset. After the clustering step, we exploit social cues to rank clusters by social relevance. From those ranked clusters images are retrieved according to their distance to cluster centroids.