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International Conference on Intelligent Data Engineering and Automated Learning

IDEAL 2000: Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents pp 479–483Cite as

A Content-Based Image Retrieval Method Using Third- Order Color Feature Relations

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1983))

Abstract

Each content-based image retrieval (CBIR) method using color features includes its limitations to be applied to its own application areas. We analyze that the limitations are mostly due to the adoption of first-order or second-order relations among color features from a given image as its index. In this paper, we propose a new CBIR method based on a third-order color feature relations. This new method shows robustness in retrieving geometrically transformed images and can be applied in various areas.

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References

  1. Gudivada, V.: ‘Content-Based Image Retrieval Systems’, IEEE Computer, Sep. (1995)

    Google Scholar 

  2. Flickner, M.: ‘Query by Image and Video Content:The QBIC System’, IEEE Computer, Sep. (1995) 23–32

    Google Scholar 

  3. Swain, M., Ballard, D.: ‘Color Indexing’, International Journal of Computer Vision, 7:1, (1991) 11–32

    Article  Google Scholar 

  4. Stricker, M., Orengo, M.: ‘Similarity of Color Images’, SPIE 95, Vol. 2420 (1995) 381–392

    Article  Google Scholar 

  5. Minsky, M., Papert, S.: Perceptrons, MIT Press, Cambridge, MA. (1969)

    MATH  Google Scholar 

  6. Kwon, H., Kim, B., Hwang, H. and Cho, D.: ‘Scale and Rotation Invariant Pattern Recognition using Complex-Log Mapping and Augmented Second Order Neural Network’, IEE Electronics Letters, Vol.29, No.7 (1993) 620–621

    Article  Google Scholar 

  7. Stricker, M., Dimai, A.: ‘Color Indexing with Weak Spatial Constraints’, SPIE 96 San Jose, Vol.2670 (1996) 1630–1639

    Google Scholar 

  8. Kim, J., Kim, H.: ‘Content-Based Image Retrieval using Color and Spatial Information’, KISS Proc., Vol.24, No.2 (1997) 483–486

    MATH  Google Scholar 

  9. Huang, J., Kumar, R., Mitra, M.: ‘Combining Supervised Learning with Color Correlograms for Content-Based Image Retrieval’, ACM Multimedia 97 Seattle, (1997) 325–334

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Anyang University, 430-714, Anyang-Shi, Korea

    H.Y. Kwon

  2. Dept. of Electronic Engineering, Hoseo University, 337-850, Asan-Kun, Choongnam, Korea

    H.Y. Hwang

Authors
  1. H.Y. Kwon
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  2. H.Y. Hwang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Kwong Sak Leung  & Lai-Wan Chan  & 

  2. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong

    Helen Meng

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© 2000 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kwon, H., Hwang, H. (2000). A Content-Based Image Retrieval Method Using Third- Order Color Feature Relations. In: Leung, K.S., Chan, LW., Meng, H. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents. IDEAL 2000. Lecture Notes in Computer Science, vol 1983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44491-2_70

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  • DOI: https://doi.org/10.1007/3-540-44491-2_70

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41450-6

  • Online ISBN: 978-3-540-44491-6

  • eBook Packages: Springer Book Archive

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