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Content-Based Retrieval of Historical Watermark Images: I-tracings

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Book cover Image and Video Retrieval (CIVR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2383))

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Abstract

Providing content-based access to archives of historical watermarks involves a number of problems. This paper describes the development and evaluation of SHREW, a shape-matching system for watermark images based on techniques developed for the ARTISAN trademark retrieval system. Encouraging retrieval results have been obtained using tracings of watermark images, whether whole-image features or component-based measures are used for matching. Further development of the system is continuing.

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References

  1. Briquet, C. M.: Les Filigranes. Karl Hiesermann, Leipzig (1907)

    Google Scholar 

  2. International Standard for the Registration of Paper with or without Watermarks, International Association of Paper Historians (IPH), English Version 2.0, 1997

    Google Scholar 

  3. Rauber, C., Pun, T. and Tschudin, P.: Retrieval of images from a library of watermarks for ancient paper identification. In: Proceedings of EVA 97, Elektronische Bildverarbeitung und Kunst, Kultur, Historie, Berlin (1997)

    Google Scholar 

  4. Jain, A. K. et al: Object matching using deformable templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(3) (1996) 267–277

    Article  Google Scholar 

  5. Levine, M. D.: Vision in man and machine, ch 10. McGraw-Hill, N Y (1985)

    Google Scholar 

  6. Rosin, P. L.: Measuring shape: ellipticity, rectangularity and triangularity. In: Proceedings of 15th International Conference on Pattern Recognition, Barcelona (2000) vol 1, 952–955

    Google Scholar 

  7. Zahn, C. T. & Roskies, C. Z.: Fourier descriptor for plane closed curves. IEEE Transactions on Computers C-21 (1972) 269–281

    Article  MathSciNet  Google Scholar 

  8. Hu, M. K.: Visual pattern recognition by moment invariants. IRE Transactions on Information Theory IT-8 (1962) 179–187

    Google Scholar 

  9. Teh, C. H. and Chin, R. T.: Image analysis by methods of moments. IEEE Transactions on Pattern Analysis and Machine Intelligence 10(4) (1988) 496–513

    Article  MATH  Google Scholar 

  10. Available on the Web at http://www.cselt.it/mpeg/public/mpeg—7_visual_xm.zip

  11. Mokhtarian, F. S. et al: Efficient and Robust Retrieval by Shape Content through Curvature Scale Space. In: Proceedings of International Workshop on Image DataBases and MultiMedia Search, Amsterdam (1996) 35–42

    Google Scholar 

  12. Eakins, J. P. et al: A comparison of the effectiveness of alternative feature sets in shape retrieval of multi-component images. In: Storage and Retrieval for Media Databases 2001, Proc SPIE 4315 (2001) 196–207

    Google Scholar 

  13. Ren, M., Eakins, J. P. and Briggs, P.: Human perception of trademark images: implications for retrieval system design. Journal of Electronic Imaging 9(4) (2000) 564–575

    Article  Google Scholar 

  14. Eakins, J. P., Boardman, J. M. and Graham, M. E.: Similarity retrieval of trademark images. IEEE Multimedia 5(2) (1998) 53–63

    Article  Google Scholar 

  15. Brown, J. E. et al: When images work faster than words-the integration of CBIR with the Northumbria Watermarks Archive. To be presented at ICOM-CC 13th triennial meeting, Rio de Janeiro, Sept 2002

    Google Scholar 

  16. Churchill, W. A. Watermarks in Paper in Holland, England, France etc. in the XVII and XVIII Centuries and their Interconnection, Menno Hertzberger & Co. Amsterdam, 1935

    Google Scholar 

  17. Kuwahara, M. et al: Digital Processing of Biomedical Images. Plenum Press, New York (1976) 187–203

    Google Scholar 

  18. Flusser, J. and Suk, T.: Pattern recognition by affine moment invariants. Pattern Recognition 26(1) (1993) 167–174

    Article  MathSciNet  Google Scholar 

  19. Salton, G.: The SMART retrieval system-experiments in automatic document processing. Prentice-Hall, Englewood Cliffs, New Jersey (1971)

    Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Riley, K.J., Eakins, J.P. (2002). Content-Based Retrieval of Historical Watermark Images: I-tracings. In: Lew, M.S., Sebe, N., Eakins, J.P. (eds) Image and Video Retrieval. CIVR 2002. Lecture Notes in Computer Science, vol 2383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45479-9_27

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  • DOI: https://doi.org/10.1007/3-540-45479-9_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43899-1

  • Online ISBN: 978-3-540-45479-3

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