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Visualization of Brand Images Extracted from Home-Interior Commercial Websites Using Color Features

  • Naoki TakahashiEmail author
  • Takashi Sakamoto
  • Toshikazu Kato
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9734)

Abstract

Websites of home-interior brands display many photographs of products that include walls, floors, and furniture. Such photographs, known as image photographs, contain a lot of information about the brand image because the colors of walls, floors, and furniture in a photograph influence the brand image. This paper proposes a method of extracting representative colors of interior photographs by using a hierarchical clustering algorithm and analyzes the characteristics and differences of interior brands with color features. Our proposed method can be used to describe the common characteristics of interior image photographs and differences between eight interior brands (Ralph Lauren Home, Herman Miller, arflex, Cassina, Carl Hansen and Son, IKEA, Karimoku and Nitori). We measure the similarity or difference between brand images by constructing a brand image space with clusters of representative colors and obtain the relationship between six brand images.

Keywords

Color-analysis Interior-brand Visualization 

Notes

Acknowledgement

This work was partially supported by JSPS KAKENHI grants (No. 25240043), and TISE Research Grant of Chuo University. We would like to thank Hideo Kikuchi from amana Inc. for advice about image photographs and brand images.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Naoki Takahashi
    • 1
    Email author
  • Takashi Sakamoto
    • 2
  • Toshikazu Kato
    • 3
  1. 1.Graduate School of Chuo UniversityHachiojiJapan
  2. 2.National Institute of Advance Industrial Science and TechnologyTokyoJapan
  3. 3.Chuo UniversityHachiojiJapan

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