A culture-dependent metadata creation method for color-based impression extraction with cultural color spaces

Totok Suhardijanto, Kiyoki Yasushi, Ali Ridho Barakbah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

It is becoming important to realize a cross-cultural communication environment among societies with different cultures. Images are effective media for exchanging cultural characteristics across cultures. This paper presents a culture-dependent color-emotion model for cross-culture oriented image retrieval system that realizes color-emotion spaces to search images with human emotion aspects. Many image retrieval systems have been featured by color analysis, but culture-dependent aspects of images are not considered intensively. Our system creates color impression spaces based on Ekman's 17 basic emotions. For the first step, the culture-dependent color impression space is created by using cultural-features. We apply automatic clustering using our previous method "Valley Tracing" in order to generate dynamic representative colors. This system automatically creates a set of culture-dependent color impression metadata.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXII
PublisherIOS Press
Pages333-343
Number of pages11
ISBN (Print)9781607506898
DOIs
Publication statusPublished - 2011

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume225
ISSN (Print)0922-6389

Keywords

  • color-emotion based image search
  • culture-dependent color-emotion
  • emotion information

ASJC Scopus subject areas

  • Artificial Intelligence

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    Suhardijanto, T., Yasushi, K., & Barakbah, A. R. (2011). A culture-dependent metadata creation method for color-based impression extraction with cultural color spaces. In Information Modelling and Knowledge Bases XXII (pp. 333-343). (Frontiers in Artificial Intelligence and Applications; Vol. 225). IOS Press. https://doi.org/10.3233/978-1-60750-690-4-333