Skip to main content
  • 54 Accesses

Abstract

With ever increasing number of registered trademarks, the task of trademark office is becoming increasingly difficult to ensure the uniqueness of all trademarks registered. Trademarks are complex patterns consisting of various image and text patterns, called device-mark and word-in-mark respectively. Due to the diversity and complexity of image patterns occurring in trademarks, due to multi-lingual word-in-mark, there is no very successful computerized operating trademark registration system. We have tackled key technical issues: multiple feature extraction methods to capture the shape, similarity of multi-lingual word-in-mark, matching device mark interpretation using fuzzy thesaurus, and fusion of multiple feature measures for conflict trademark retrieval. A prototype System for Trademark Archival and Registration (STAR) has been developed. The initial test run has been conducted using 3000 trademarks, and the results have shown satisfaction to trademark officers and specialists.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. F. Ali and T. Pavlidis, “Syntactic recognition of handwritten numerals,” IEEE Trans. Syst. Man. Cybern., Vol. 7, pp. 537–541, 1977.

    Article  Google Scholar 

  2. K. Arbter, W.E. Snyber, H. Burkhardt, and G. Hirzinger, “Application of affine-invariant Fourier descriptors recognition of 3-D objects,” IEEE Trans. Pattern Anal. Machine Intell., Vol. 12,No. 7, 1990.

    Google Scholar 

  3. J. Bach, S. Paul, and R. Jain, “A visual information management system for the interactive retrieval of faces,” IEEE Trans, on Knowledge and Data Engineering, Vol. 5, pp. 619–628, 1993.

    Article  Google Scholar 

  4. P.B. Berra, C.Y.R. Chen, A. Ghafoor, C.C. Lin, T.D.C. Little, and D. Shin, “Architecture for distributed multimedia database systems,” Computer Communications, Vol. 13,No. 4, pp. 217–231, May 1990.

    Article  Google Scholar 

  5. S.K. Chang, C. Yan, D.C. Dimitroff, and T. Arndt, “An intelligent image database system,” IEEE Trans, on Software Engineering, Vol. 14, pp. 681–688, 1988.

    Article  Google Scholar 

  6. G. Cortelazzo, G.A. Mian, G. Vezzi, and P. Zamperoni, “Trademark shape description by string-matching techniques,” Pattern Recognition, Vol. 27,No. 8, pp. 1005–1018, 1994.

    Article  Google Scholar 

  7. Y._J. Gao, J.J. Lim, and A.D. Narasimhalu, “Fuzzy multilinkage thesaurus builder in multimedia information systems,” The 3rd International Conference on Document Analysis and Recognition, Montreal, Canada, IEEE Computer Society, Aug. 1995.

    Google Scholar 

  8. W.I. Grosky, “Multimedia information systems,” IEEE Multimedia, Spring, pp. 12–24, 1994.

    Google Scholar 

  9. W.I. Grosky and R. Mehrotra, “Index-based object recognition in poctorial data management,” Computer Vision, Graphics, and Image Processing, Vol. 52, pp. 416–436, 1990.

    Article  Google Scholar 

  10. K. Hornk, M. Stinchocombe, and H. White, “Multi-layer feedforward networks are universal approximators,” Neural Networks, Vol. 2, pp. 359–366, 1989.

    Article  Google Scholar 

  11. “International classification of the fifurative elements of marks,” Vienna Agreement of June 12, 1973, World Intellectual Property Organization (WIPO), WIPO Publication No. 502(E), Geneva, 1993.

    Google Scholar 

  12. T. Kato, “Database architecture for content-based image retrieval,” SPIE Image Storage and Retrieval Systems, Vol. 1662, pp. 112–122, 1992.

    Google Scholar 

  13. A. Pentland, R.W. Picard, and S. Sclaroff, “Photobook: Tools for content based manipulation of image databases,” SPIE Conf. Storage and Retrieval of Image and Video Databases II, No. 2185, Feb. 6–10, 1994.

    Google Scholar 

  14. E. Petrakis and S. Orphanoudakis, “Methodology for the representation, indexing and retrieval of images by content,” Image and Vision Computing, Vol. 11, pp. 504–520, 1993.

    Article  Google Scholar 

  15. S.W. Smoliar and H.J. Zhang, “Content-based video indexing and retrieval,” IEEE MultiMedia, Summer, pp. 62–72, 1994.

    Google Scholar 

  16. A. Tversky, “Features of similarity,” Psychological Review, Vol. 84, pp. 327–352, 1977.

    Article  Google Scholar 

  17. J.K. Wu, “Color coding of images,” Journal of Signal Processing of China, Vol. 5, pp. 1–6, 1986.

    Google Scholar 

  18. J.K. Wu, Neural Networks and Simulation, Marcel Dekker, Inc., New York, 1994.

    MATH  Google Scholar 

  19. J.K. Wu, “Content-based indexing of multimedia databases,” IEEE Trans. KDE, (to appear).

    Google Scholar 

  20. J.K. Wu and A.D. Narasimhalu, “Fuzzy content-based image databases,” Information Processing and Management, (to appear).

    Google Scholar 

  21. J.K. Wu, F. Gao, and P. Yang, “Model-based 3-D object recognition,” Proc. Second International Conference on Automation, Robotics and Computer Vision, Sept. 15–18, Singapore, 1992.

    Google Scholar 

  22. J.K. Wu, Y.H. Ang, C.P. Lam, H.H. Loh, and A. Desai Narasimhalu, “Inference and Retrieval of Facial Images,” ACM Multimedia Journal, Vol. 2,No. 1, pp. 1–14, 1994.

    Article  Google Scholar 

  23. J.K. Wu, B.M. Mehtre, Y.J. Gao, PC. Lam, and A. Desai Narasimhalu, “STAR—A multimedia database system for trademark registration,” Applications of Databases, Lecture Notes in Computer Science, Vol. 819, W. Litwin and T. Risch (Eds.), Proc. First International Conference, ADB-94, Vadstena, Sweden, June 1994, pp. 109–122, Springer-Verlag.

    Google Scholar 

  24. J.K. Wu, A.D. Narasimhalu, B.M. Mehtre, C.P. Lam, and Y.J. Gao, “CORE: A content-based retrieval engine for multimedia information systems,” ACM Multimedia Systems, Vol. 3, pp. 3–25, 1995.

    Article  Google Scholar 

  25. J.K. Wu et al., “Evaluation of feature measures and similarity measures for content-based retrieval,” SPIE Symposium on Digital Image Storage and Archiving Systems, Philadelphia, SPIE Proceedings, Vol. 2606, Oct. 25–26, 1995.

    Google Scholar 

  26. A. Yoshitaka, S. Kishida, M. Hirakawa, and T. Ichikawa, “Knowledge-assisted conetent-based retrieval for multimedia databases,” Proc. International Conf. on Multimedia Computing and Systems, Boston, Massachusetts, May 14–19, 1994, pp. 131–139.

    Google Scholar 

  27. A. Zink and C.C. Jaffe, “Medical imaging databases,” Investigative Radiology, Vol. 28, pp. 366–372, 1993.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Kluwer Academic Publishers

About this chapter

Cite this chapter

Wu, J., Lam, C., Mehtre, B., Gao, Y., Narasimhalu, A.D. (1996). Content-Based Retrieval for Trademark Registration. In: Zhang, H., Aigrain, P., Petkovic, D. (eds) Representation and Retrieval of Visual Media in Multimedia Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-585-34549-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-0-585-34549-9_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-9771-7

  • Online ISBN: 978-0-585-34549-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics