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Clipart Image Retrieval System Using Shape Information

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Advanced Web Technologies and Applications (APWeb 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3007))

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Abstract

The current paper presents a method of extracting shape information from clipart images and then measuring the similarity between different clipart images using the extracted shape information. Previous methods of extracting shape information can be classified into outline-based methods and region-based methods. Included in the former category, the proposed method expresses the convex and concave aspects of an outline using the ratio of a rectangle. Experimental results demonstrated that the proposed method is superior in expressing shape information than previous outline-based feature methods.

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References

  1. Mehtre, B., Kankanhalli, M., Lee, W.: Shape measures for content based image retrieval: A comparison. Information Processing & Management 33(3), 319–337 (1997)

    Article  Google Scholar 

  2. Jain, A., Vailaya, A.: Shape-Based Retrieval: A case study with trademark image databases. Pattern Recognition 31(9), 1369–1390 (1998)

    Article  Google Scholar 

  3. Wang, Z., Chi, Z., Feng, D.: Shape based leaf image retrieval. IEE Proc.-Vis. Image Signal Process 150(1), 34–43 (2003)

    Article  Google Scholar 

  4. Folkers, A., Samet, H.: Content-based image retrieval using Fourier descriptors on a logo database. International Conference on Pattern Recognition 3, 521–524 (2002)

    Google Scholar 

  5. Freeman, H., Davis, L.: A corner finding algorithm for chain coded curvers. IEEE Trans. on Computers 26, 297–303 (1977)

    Article  Google Scholar 

  6. Bribiesca, E., Guzman, A.: Shape description and shape similarity for two dimensional region. In: International conference on Pattern Recognition (1978)

    Google Scholar 

  7. Wu, H.T., Chang, Y., Hsieh, C.H.: Coding of arbitrarily shaped objects using pace code. In: International workshop on Image and Signal Processing and Analysis, pp. 119–124 (2000)

    Google Scholar 

  8. Persoon, E., Fu, K.: Shape discrimination using Fourier descriptors. IEEE Trans. On System, Man and Cybernetics, 170–179 (1977)

    Google Scholar 

  9. Zhang, D., Lu, G.: Enhanced generic fourier descriptors for object-based image retrieval. In: International Conference on Acoustics, Speech, and Signal Processing, vol. 4, pp. 3668–3671 (2002)

    Google Scholar 

  10. Rauber, T., Steiger-Garcao, S.: Shape description by UNL Fourier features-an application to handwritten character recognition. In: International Conference on Pattern Recognition (1992)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Choi, CG., Cheong, S., Chang, Y., Kim, SH. (2004). Clipart Image Retrieval System Using Shape Information. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds) Advanced Web Technologies and Applications. APWeb 2004. Lecture Notes in Computer Science, vol 3007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24655-8_83

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  • DOI: https://doi.org/10.1007/978-3-540-24655-8_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21371-0

  • Online ISBN: 978-3-540-24655-8

  • eBook Packages: Springer Book Archive

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