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      • Department of Computer Engineering
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      Bilkent-RETINA at retrieving diverse social images task of MediaEval 2014

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      Author
      Saraç, Mustafa İlker
      Duygulu Pınar
      Date
      2014-10
      Source Title
      CEUR Workshop Proceedings
      Publisher
      CEUR-WS
      Language
      English
      Type
      Conference Paper
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      Abstract
      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].
      Keywords
      One-class support vector machine
      Social images
      Visual feature
      Support vector machines
      Permalink
      http://hdl.handle.net/11693/27859
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      • Department of Computer Engineering 1368
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