Advertisement

Deep into Color Names: Matching Color Descriptions by Their Fuzzy Semantics

  • Haiping Zhu
  • Huajie Zhang
  • Yong Yu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4183)

Abstract

In daily life, description and location of certain objects on the web are much dependent on color names. Therefore, a maturely-implemented matching subsystem for color descriptions will certainly facilitate web applications in the domains concerned, such as image retrieval, clothing search, etc. However, both keyword matching and semantic mediation by the current ontologies are confronted with difficulties in precisely evaluating the similarity between color descriptions, which requests the exploitation of “deeper” semantics to bridge the semantic gap. What with the inherent variability and imprecision characterizing color naming, this paper proposes a novel approach for defining (1) the fuzzy semantics of color names on the HSL color space, and (2) the associated measures to evaluate the similarity between two fuzzified color descriptions. The experimental results have preliminarily shown the strength of the deeper semantics surpassing the ability of both keywords and WordNet, in dealing with the matching problem of color descriptions.

Keywords

Matching Color Descriptions HSL Color Space Fuzzy Colors Fuzzy Color Similarity Color Difference Formula 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Shoemaker, S.: Colors, Subjective Relations, and Qualia. Philosophical Issues 7, 55–66 (1996)CrossRefGoogle Scholar
  2. 2.
    Younes, A.A., Truck, I., Akdag, H.: Color Image Profiling Using Fuzzy Sets. Turk. J. Elec. Engin. 13(3), 343–359 (2005)Google Scholar
  3. 3.
    Liu, Y., Zhang, D., Lu, G., Ma, W.-Y.: Region-Based Image Retrieval with High-Level Semantic Color Names. In: Chen, Y.-P.P. (ed.) Proc. of the 11th Intl. Conf. on Multi Media Modeling (MMM 2005), pp. 180–187 (2005)Google Scholar
  4. 4.
    Das, M., Manmatha, R., Riseman, E.M.: Indexing Flowers by Color Names using Domain Knowledge-driven Segmentation. In: Proc. of the 4th IEEE Workshop on Applications of Computer Vision (WACV 1998), pp. 94–99 (1998)Google Scholar
  5. 5.
    Wang, S., Pan, J.Z.: Ontology–Based Representation and Query Colour Descriptions from Botanical Documents. In: Meersman, R., Tari, Z. (eds.) OTM 2005. LNCS, vol. 3761, pp. 1279–1295. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  6. 6.
    Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)zbMATHGoogle Scholar
  7. 7.
    Sarifuddin, M., Missaoui, R.: A New Perceptually Uniform Color Space with Associated Color Similarity Measure for Content-Based Image and Video Retrieval. In: Proc. of ACM SIGIR 2005 Workshop on Multimedia Information Retrieval (MMIR 2005), pp. 1–8 (2005)Google Scholar
  8. 8.
    Binaghi, E., Ventura, A.D., Rampini, A., Schettini, R.: A Knowledge-Based Environment for Assessment of Color Similarity. In: Proc. of the 2nd IEEE Intl. Conf. on Tools for Artificial Intelligence, pp. 768–775 (1990)Google Scholar
  9. 9.
    Gärdenfors, P.: Conceptual Spaces: The Geometry of Thought. MIT Press, Cambridge (2000)Google Scholar
  10. 10.
    Chien, B.-C., Cheng, M.-C.: A Color Image Segmentation Approach Based on Fuzzy Similarity Measure. In: Proc. of the 2002 IEEE Intl. Conf. on Fuzzy Systems (FUZZ-IEEE 2002), pp. 449–454 (2002)Google Scholar
  11. 11.
    Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)Google Scholar
  12. 12.
    Zhong, J., Zhu, H., Li, J., Yu, Y.: Conceptual Graph Matching for Semantic Search. In: Priss, U., Corbett, D.R., Angelova, G. (eds.) ICCS 2002. LNCS (LNAI), vol. 2393, pp. 92–106. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  13. 13.
    The Getty Research Institute: Art and Architecture Thesaurus Online, http://www.getty.edu/research/conducting_research/vocabularies/aat/
  14. 14.
    Lefort, L., Taylor, K.: Large Scale Colour Ontology Generation with XO. In: Meyer, T., Orgun, M.A. (eds.) Proc. of the Australasian Ontology Workshop (AOW 2005). Conferences in Research and Practice in Information Technology (CRPIT), vol. 58, pp. 47–52. Australian Computer Society (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Haiping Zhu
    • 1
  • Huajie Zhang
    • 1
  • Yong Yu
    • 1
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiP.R. China

Personalised recommendations