Indexing and retrieving oil paintings using style information

  • Authors:
  • Yan Yan;Jesse S. Jin

  • Affiliations:
  • School of Design, Communication and I.T., The University of Newcastle, Callaghan, Australia;School of Design, Communication and I.T., The University of Newcastle, Callaghan, Australia

  • Venue:
  • VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
  • Year:
  • 2005

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Abstract

In this paper we discuss the principle of color perception in oil paintings, and analyze the existing color spaces used in digital image processing. Because of the complexity of color perception, there is no single color space which can represent various properties of color perception and provide a consistent retrieval capability in indexing oil paintings. We propose a new color space for indexing and retrieving oil paintings, which is based on pigment color mixing and the psychology of seeing. The new space includes seven color elements: pure color, white, black, tint, tone, shade and grey. Finally, six semantic query categories are defined in accordance with six color arrangements in oil paintings.