Take a look at the new version of this page: [ beta version ]. Tell us what you think.

ABSTRACT

In this paper, we outline some of the main challenges facing trademark searchers today, and discuss the extent to which current automated systems are meeting those challenges.

REFERENCES

• 1: John P. Eakins, Trademark image retrieval, Principles of visual information retrieval, Springer-Verlag, London, 2000
• 2: Kato, T. Database architecture for content-based image retrieval. Image Storage and Retrieval Systems, Proc SPIE 2185, 112--123, 1992
• 3: Jain, A. K., & Vailaya, A. Shape-based retrieval: a case study with trademark image databases. Pattern Recognition, 31(9) 1369--1390, 1998.
• 4: Kim, Y. S., & Kim, W. Y. Content-based trademark retrieval system using a visually salient feature. Image and Vision Computing, 16, 931--939, 1998.
• 5: S. Ravela , R. Manmatha, Multi-modal Retrieval of Trademark Images Using Global Similarity TITLE2:, University of Massachusetts, Amherst, MA, 1999
• 6: Wu, J. K. et al. Content-based retrieval for trademark registration. Multimedia Tools and Appl. 3, 245--267, 1996.
• 7: John P. Eakins , Jago M. Boardman , Margaret E. Graham, Similarity Retrieval of Trademark Images, IEEE MultiMedia, v.5 n.2, p.53-63, April 1998 [doi>10.1109/93.682526]
• 8: Eakins, J. P., Edwards, J. D., Riley, J., & Rosin, P. L. A comparison of the effectiveness of alternative feature sets in shape retrieval of multi-component images. Storage and Retrieval for Media Databases, Proc SPIE 4315, 196--207, 2001.
• 9: Alwis, S. and Austin, J. Trademark image retrieval using multiple features. Presented at CIR-99: The Challenge of Image Retrieval, Newcastle-upon-Tyne, U.K., Feb. 1999.
• 10: Leung, W. H. & Chen, T. Trademark retrieval using contour-skeleton classification. Proc. IEEE Intl. Conf. on Multimed. and Expo (ICME 2002), Lausanne, Switzerland, Aug. 2002.
• 11: Goldmeier, E. "Similarity in visually perceived forms" Psychological Issues 8(1), 1--135, 1972.
• 12: Ren, M., Eakins, J. P. &d Briggs, P. Human perception of trademark images: implications for retrieval system design. Journal of Electronic Imaging, 9(4) 564--575, 2000.
• 13: Hoffmann, D. D. & Richards, W. A. Parts of recognition. Cognition 18, 65--96, 1985.
• 14: Stefan Berchtold , Daniel A. Keim , Hans-Peter Kriegel, The X-tree: An Index Structure for High-Dimensional Data, Proceedings of the 22th International Conference on Very Large Data Bases, p.28-39, September 03-06, 1996
• 15: Vleugels, J. & Veltkamp, R. C. Efficient Image Retrieval through Vantage Objects, Pattern Recognition 35(1), 69--80, 2002.
• 16: Zhou, X. S. & Huang, T. S. Relevance feedback in image retrieval: a comprehensive review. Multimedia Systems 8, 536--544, 2003.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.5 On-line Information Services

  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.0 General

General Terms:
Design, Economics, Human Factors, Legal Aspects, Management, Performance

Keywords:
content-based image retrieval, pattern matching, trademark similarity