Retrieval of trademark images by means of size functions

Graphical Models

Volumn 68, Issue 5-6, 2006, Pages 451-471

  Cerri, A ^a   Ferri, M ^a   Giorgi, D ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Content based image retrieval; Shape comparison; Size functions; Trademark retrieval

Indexed keywords

COMPUTATIONAL GEOMETRY; DATABASE SYSTEMS; IMAGE COMPRESSION; PATTERN MATCHING; TOPOLOGY;

CONTENT-BASED IMAGE RETRIEVAL; SHAPE COMPARISON; SIZE FUNCTIONS; TRADEMARK RETRIEVAL;

IMAGE RETRIEVAL;

DATABASE; IMAGE PROCESSING; TOPOLOGY;

EID: 33750483310     PISSN: 15240703     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gmod.2006.07.001     Document Type: Article

References (43)

1. T. Kato, Database architecture for content-based image retrieval, in: A.A. Jambardino, W.R. Niblack (Eds.), Proc. SPIE: Image Storage and Retrieval Systems, vol. 1662, 1992, pp. 112-123.
2. Biedermann I. Recognition-by-components: a theory of human image understanding. Psychol. Rev. 94 2 (1987) 115-147
3. L. Schomaker, E. de Leau, L. Vuurpijl, Using pen-based outlines for object-based annotation and image-based queries, in: D.P. Huijsmans, A.W.M. Smeulders (Eds.), Visual Information and Information System-Proceedings of the Third International Conference VISUAL'99, Springer LNCS, vol. 1614, 1999, pp. 585-592.
4. Veltkamp R.C., and Hagedoorn M. State-of-the-art in shape matching. In: Lew M. (Ed). Principles of Visual Information Retrieval (2001), Springer, New York 87-119
5. A. Cerri, M. Ferri, D. Giorgi, A new framework for trademark retrieval based on size functions, in: M. Chantler, E. Trucco (Eds.), Proceedings of the 2nd International Conference on Vision, Video and Graphics (VVG'05), Heriot-Watt University, Edinburgh, 2005, pp. 152-167.
6. J.P. Eakins, K.J. Riley, J.D. Edwards, Shape Feature Matching for Trademark Image Retrieval, in: E.M. Bakker et al. (Eds.), Proc. CIVR 2003, LNCS 2728, 2003, pp. 28-38.
7. http://www.cs.uu.nl/profi/description/description.html.
8. Sikora T. The MPEG-7 visual standard for content description-an overview. IEEE Trans. Circuits Systems Video Technol. II 6 (2001) 696-702
9. Wu J.C., Lam C.P., Mehtre B.E., Gao Y.J., and Narasimhalu A.D. Content-based retrieval for trademark registration. Multimedia Tools Appl. 3 (1996) 245-267
10. J.P. Eakins, M.E. Graham, J.M. Boardman, K. Shields, Retrieval of trademark images by shape feature, British Library Research and Innovation Report 26 (1996).
11. Alwis S., and Austin J. Trademark Image Retrieval Using Multiple Features (1999), Challenge of Image Retrieval, Newcastle
12. R. Schettini, G. Ciocca, Similarity retrieval of Trademark Images, in: Proceedings of the International Conference on Image Analysis and Processing, 1999, pp. 915-920.
13. Kim Y.-S., Kim Y.-S., Kim W.-Y., and Kim M.-Y. Development of content-based trademark retrieval system on the World Wide Web. ETRI J. 21 1 (1999) 39-53
14. S. Ravela, R. Manmatha, Multi-modal retrieval of trademark images using global similarity, UMass Computer Science, Technical Report no. TR99-32 (1999).
15. Frosini P. A distance for similarity classes of submanifolds of a Euclidean space. Bull. Australian Math. Soc. 42 (1990) 407-416
16. P. Frosini, Measuring shapes by size functions, in: D.P. Casasent (Ed.), Proceedings SPIE, Intelligent Robots and Computer Vision X: Algorithms and Techniques, Boston, MA, vol. 1607, 1991, pp. 122-133.
17. Verri A., Uras C., Frosini P., and Ferri M. On the use of size functions for shape analysis. Biol. Cybernet. 70 (1993) 99-107
18. Frosini P., and Landi C. Size theory as a topological tool for computer vision. Pattern Recogn. Image Anal. 9 (1999) 596-603
19. Kaczynski T., Mischaikow K., and Mrozek M. Computational Homology. Applied Mathematical Sciences vol. 157 (2004), Springer, New York
20. M. d'Amico, P. Frosini, C. Landi, Using matching distance in size theory: a survey, Intl. J. Imaging Systems Technol. (to appear).
21. P. Frosini, C. Landi, New pseudo-distances for the size function space, in: R.A. Melter, A.Y. Wu, L.J. Latecki (Eds.), Proc. SPIE: Vision Geometry VI, vol. 3168, 1997, pp. 52-60.
22. Frosini P., and Landi C. Size functions and formal series. Appl. Algebra Eng. Comm. Computing 12 (2001) 327-349
23. P. Donatini, P. Frosini, C. Landi, Deformation energy for size functions, in: E. R. Hancock, M. Pelillo (Eds.), Proceedings Second International Workshop EMMCVPR'99, LNCS, vol. 1654, 1999, pp. 44-53.
24. Donatini P., and Frosini P. Lower bounds for natural pseudodistances via size functions. Arch. Inequal. Appl. 2 (2004) 1-12
25. Frosini P., and Pittore M. New methods for reducing size graphs. Int. J. Computer Math. 70 (1999) 505-517
26. M. d'Amico, A new optimal algorithm for computing size functions of shapes, in: CVPRIP Algorithms III. Proceedings International Conference on Computer Vision, Pattern Recognition and Image Processing, 2000, pp. 107-110.
27. C. Uras, A. Verri, On the recognition of the alphabet of the sign language through size functions, in: Proc. XII IAPR International Conference on Pattern Recognition, Jerusalem (Israel), IEEE Computer Society Press, Los Alamitos, CA, vol. II, 1994, pp. 334-338.
28. M. Handouyaya, D. Ziou, S, Wang, Sign language recognition using moment-based size functions, in: Vision Interface 99, Trois-Rivires, 1999, pp. 210-216.
29. C. Landi, P. Frosini, Size functions as complete invariants for image recognition, in: L.J. Latecki, D.M. Mount, A.Y. Wu (Eds.), Vision Geometry XI, Proc. SPIE, vol. 4794, 2002, pp. 101-109.
30. Verri A., and Uras C. Invariant size functions. In: Mundi J.L., Zisserman A., and Forsyth D. (Eds). Applications of Invariance in Computer Vision vol. 825 (1994), Springer LNCS, New York 215-234
31. Dibos F., Frosini P., and Pasquignon D. The use of size functions for comparison of shapes through differential invariants. J. Math. Imaging Vision 21 (2004) 107-118
32. M. Ferri, S. Lombardini, C. Pallotti, Leukocyte classification by size functions, in: Proc. second IEEE Workshop on Applications of Computer Vision, IEEE Computer Society Press, 1994, pp. 223-229.
33. M. d'Amico, M. Ferri, I. Stanganelli, Qualitative asymmetry measure for melanoma detection, in: Proc. IEEE Int. Sym. on Biomedical Images ISBI2004, Arlington VA, 2004, pp. 1155-1158.
34. I. Stanganelli, A. Brucale, L. Calori, R. Gori, A. Lovato, S. Magi, B. Kopf, R. Bacchilega, V. Rapisarda, A. Testori, P. A. Ascierto, E. Simeone, M. Ferri, Computer-aided diagnosis of melanocytic lesions. Anticancer Res. (to appear).
35. M. Ferri, P. Frosini, A proposal for image indexing: keypics, plastic graphical metadata, in: Proc. SPIE: Internet Imaging VI, San Jose, California, USA, vol. 5670, 2005, pp. 225-231.
36. Cerri A., Ferri M., and Giorgi D. A complete keypics experiment with size functions. Proc. CIVR 2005 vol. 3568 (2005), Springer LNCS, New York 357-366
37. A. Cerri, D. Giorgi, P. Muse, F. Sur, F. Tomassini, Shape recognition via an a contrario model for size functions, in: International Conference on Image Analysis and Recognition, September 18-20, Povoa de Varzim, Portugal, 2006.
38. Salton G. The Smart Retrieval System-Experiments in Automatic Document Processing (1971), Prentice-Hall, Englewood Cliffs, NJ
39. Hu M. Visual pattern recognition by moments invariants. IRE Trans. Inform. Theory 8 (1962) 179-187
40. Flusser J., and Suk T. Pattern Recognition by affine moment invariants. Pattern Recogn. 26 1 (1993) 167-174
41. P. L. Rosin, Measuring shape: ellipticity, rectangularity and triangularity, in: Proceedings of 15th International Conference on Pattern Recognition, Barcelona, 2000, pp. 952-955.
42. J.P. Eakins, M.E. Graham, J.M. Boardman. Evaluation of a trademark image retrieval system, 19th BCS IRSG Research Colloquium on Information Retrieval, Robert Gordon University, Aberdeen (1997).
43. A. Desolneux, L. Moisan, J.-M. Morel, Computational Gestalt Theory, Lecture Notes in Mathematics, Springer, (to appear).