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      Identification of illustrators

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      Author
      Şener Fadime
      Samet, Nermin
      Duygulu-Şahin Pınar
      Date
      2012-10
      Source Title
      European conference on computer vision ECCV 2012: computer vision – ECCV 2012. workshops and demonstrations
      Volume
      7583 LNCS
      Issue
      PART 1
      Pages
      589 - 597
      Language
      English
      Type
      Conference Paper
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      Abstract
      This paper is motivated by a book in which artists and illustrators from all over the world offer their personal interpretations of the declaration of human rights in pictures [1]. It was enthusiastic for a young reader to see an illustration of an artist that he already knows from his books . The characters were different, the topic was irrelevant, but still it was easy to identify the illustrators based on the style of the illustration. Inspired by the human's ability to identify illustrators, in this study we propose a method that can automatically learn to distinguish illustrations of different illustrators using computer vision techniques. © 2012 Springer-Verlag.
      Keywords
      Computer vision techniques
      Human rights
      Young readers
      Computer vision
      Drawing (graphics)
      Permalink
      http://hdl.handle.net/11693/28151
      Published Version (Please cite this version)
      http://dx.doi.org/10.1007/978-3-642-33863-2_61
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      • Department of Computer Engineering 1368
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