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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Briquet, C. M.: Les Filigranes. Karl Hiesermann, Leipzig (1907)
International Standard for the Registration of Paper with or without Watermarks, International Association of Paper Historians (IPH), English Version 2.0, 1997
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)
Jain, A. K. et al: Object matching using deformable templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(3) (1996) 267–277
Levine, M. D.: Vision in man and machine, ch 10. McGraw-Hill, N Y (1985)
Rosin, P. L.: Measuring shape: ellipticity, rectangularity and triangularity. In: Proceedings of 15th International Conference on Pattern Recognition, Barcelona (2000) vol 1, 952–955
Zahn, C. T. & Roskies, C. Z.: Fourier descriptor for plane closed curves. IEEE Transactions on Computers C-21 (1972) 269–281
Hu, M. K.: Visual pattern recognition by moment invariants. IRE Transactions on Information Theory IT-8 (1962) 179–187
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
Available on the Web at http://www.cselt.it/mpeg/public/mpeg—7_visual_xm.zip
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
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
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
Eakins, J. P., Boardman, J. M. and Graham, M. E.: Similarity retrieval of trademark images. IEEE Multimedia 5(2) (1998) 53–63
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
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
Kuwahara, M. et al: Digital Processing of Biomedical Images. Plenum Press, New York (1976) 187–203
Flusser, J. and Suk, T.: Pattern recognition by affine moment invariants. Pattern Recognition 26(1) (1993) 167–174
Salton, G.: The SMART retrieval system-experiments in automatic document processing. Prentice-Hall, Englewood Cliffs, New Jersey (1971)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/3-540-45479-9_27
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43899-1
Online ISBN: 978-3-540-45479-3
eBook Packages: Springer Book Archive