Advertisement

Searching Color Images by Emotional Concepts

  • Sungyong Hong
  • Chulbum Ahn
  • Yunmook Nah
  • Lynn Choi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3597)

Abstract

Most of the content-based image retrieval systems focus on similarity- based retrieval of images by utilizing color, shape and texture features. For color-based image retrieval, the average color or color-histograms of images are widely used as feature vectors. In this paper, we propose a new searching scheme, called Fuzzy Membership Value-Indexing, to guarantee higher retrieval quality. This scheme allows us to retrieve images based on high-level emotional concepts, such as ‘cool’, ‘soft’, ‘strong,’ etc. Each image is automatically classified into predefined emotional categories, by analyzing its color values in HSI color space and assigning appropriate fuzzy membership values. Our experimental results show that the proposed technique can reflect user’s searching intention more accurately.

Keywords

Color Image Image Retrieval Fuzzy Membership Emotional Category Emotional Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Stricker, M., Orengo, M.: Similarity of color images. In: Proc. SPIE on Storage and Retrieval for Image and Video Databases, San Jose, USA, February, vol. 2420, pp. 381–392 (1995)Google Scholar
  2. 2.
    Swain, M.J., Ballard, S.H.: Color Indexing. Int. J. Computer Vision, 7(1), 11–32 (1991)CrossRefGoogle Scholar
  3. 3.
    Rickman, R., Stonham, J.: Content-based image retrieval using color tuple histograms. In: Proc. SPIE, vol. 2670, pp. 2–7 (1996)Google Scholar
  4. 4.
    Smith, J., Chang, S.-F.: Tools and techniques for color image retrieval. In: Proc. SPIE, vol. 2670, pp. 1630–1639 (1996)Google Scholar
  5. 5.
    Niblack, W., Barber, R., et al.: The QBIC Project: Querying images by content using color, texture, and shape. In: Proc. SPIE, February 1993, pp. 173–187 (1993)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Sungyong Hong
    • 1
  • Chulbum Ahn
    • 1
  • Yunmook Nah
    • 1
  • Lynn Choi
    • 2
  1. 1.Department of Electronics and Computer EngineeringDankook UniversitySeoulKorea
  2. 2.Department of Electronics and Computer EngineeringKorea UniversitySeoulKorea

Personalised recommendations