Identification of illustrators

Authors:
Fadime Sener;Nermin Samet;Pinar Duygulu Sahin
Affiliations:
Computer Engineering Department, Bilkent University, Ankara, Turkey;Computer Engineering Department, Bilkent University, Ankara, Turkey;Computer Engineering Department, Bilkent University, Ankara, Turkey
Venue:
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Year:
2012

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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.