Integrated probability function and its application to content-based image retrieval by relevance feedback

Pattern Recognition

Volumn 36, Issue 9, 2003, Pages 2177-2186

  King, Irwin ^a   Jin, Zhong ^a,b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Content based image retrieval; Image database; Integrated probability function; Pattern recognition; Relevance feedback; Trademark image retrieval

Indexed keywords

FEATURE EXTRACTION; FEEDBACK; MONOCHROMATORS; PROBABILITY;

PROBABILITY ESTIMATOR;

CONTENT BASED RETRIEVAL;

PATTERN RECOGNITION;

EID: 0037971547     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(03)00043-8     Document Type: Article

References (28)

1. Del Bimbo A. Visual Information Retrieval 1999 Morgan Kaufmann Publishers Los Altos, CA
2. gC. Faloutsos, R. Barber, M. Flickner, J. Hafner, W. Niblack, D. Petkovic, W. Equitz, Efficient and effective querying by image content. J. Intell. Inform. Systems 3 (3/4) (1994) 231-262.
3. Eakins J.P. Boardman J.M. Graham M.E. Similarity retrieval of trademark images IEEE Multimedia 5 2 1998 53-63
4. C.P. Lam, J.K. Wu, B. Mehtre, STAR-A system for trademark archival and retrieval, in: Proceedings of the Second Asian Conference on Computer Vision, Vol. 3, 1995, pp. 214-217.
5. Y.S. Kim, W.Y. Kim, Content-based trademark retrieval system using visually salient feature, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, pp. 307-312.
6. Jain A.K. Vailaya A. Shape-based retrieval: a case study with trademark image databases Pattern Recognition 31 9 1998 1369-1390
7. D.Y.M. Chan, I. King, Genetic algorithm for weights assignment in dissimilarity function for trademark retrieval, in: Proceedings of the Third International Conference on Visual Information and Information Systems (VISUAL'99), Lecture Notes in Computer Science, Vol. 1614, The Netherlands, Springer, Berlin, 1999, pp. 557-565.
8. Xu Lei Krzyzak Adam Y. Suen Ching Methods of combining multiple classifiers and their applications to handwriting recognition IEEE Trans. System Man Cybernet. 22 3 1992 418-435
9. Kittler J. Hatef R. Dubin R.P.W. Matas J. On combining classifiers IEEE Trans. Pattern Anal. Mach. Intell. 20 3 1998 226-239
10. D.Y.M. Chan, I. King, Weight assignment in dissimilarity function for chinese script character image retrieval using genetic algorithm, in: Proceedings of The Fourth International Workshop on Information Retrieval with Asian Languages (IRAL'99), Academia Sinica, Taipei, Taiwan, 1999, pp. 55-62.
11. C. Lundquist, D.A. Grossman, O. Frieder, Improving relevance feedback in the vector space model, in: Proceedings of the Sixth International Conference on Information and Knowledge Management, CIKM'97, LasVegas, Nevada, USA, November 1997, pp. 16-23.
12. Y. Rui, T.S. Huang, S. Mehrotra, Content-based image retrieval with relevance feedback in MARS, in: Proceedings of IEEE International Conference on Image Processing, Santa Barbara, CA, October 1997, pp. 815-818.
13. Rui Y. Huang T.S. Ortega M. Mehrotra S. Relevance feedback: a power tool for interactive content-based image retrieval IEEE Trans. Circuits Systems Video Technol. 8 5 1998 644-655
14. G. Ciocca, R. Schettini, Similarity retrieval of trademark images, in: Proceedings of the 10th International Conference on Image Analysis and Processing, Venice, Italy, September 27-29 1999, pp. 915-920.
15. Y. Rui, T.S. Huang, A novel relevance feedback technique in image retrieval, in: Proceedings ACM Multimedia '99(Part2), Orlando, FL, USA, 1999, pp. 67-70.
16. Z. Jin, I. King, X.Q. Li, Content-based image retrieval by relevance feedback, in: Proceedings of the Fourth International Conference on Visual Information Systems, Lecture Notes in Computer Science, Vol. 1929, Lyon, France, November 2-4 Springer, Berlin, 2000.
17. J. Ashley, R. Barber, M. Flickner, J. Hafner, D. Lee, W. Niblack, D. Petkovic, Automatic and semiautomatic methods for image annotation and retrieval in qbic, in: Proceedings of Storage and Retrieval for Image and Video Database III, Vol. 2420, February 1995, pp. 24-35.
18. J.K. Wu, B.M. Mehtre, Y.J. Gao, Chian-Prong Lam, A. Desai Narasimhalu, STAR-A multimedia database system for trademark registration, in: W. Litwin, T. Risch (Eds.), Applications of Databases, First International Conference, Lecture Notes in Computer Science, Vol. 819, Vadstena, Sweden, 21-23 June 1994, Springer, Berlin, pp. 109-122.
19. Mehtre B.M. Kankanhalli M.S. Lee W.F. Shape measures for content based image retrieval: a comparison Inform. Process. Manage. 33 3 1997 319-337
20. Mehtre B.M. Kankanhalli M.S. Lee W.F. Content-based image retrieval using a composite color-shape approach Inform. Process. Manage. 34 1 1998 109-120
21. F. Mokhtarian, S. Abbasi, J. Kittler, Efficient and robust retrieval by shape content through curvature scale space, in: First International Workshop on Image Databases and Multi-Media Search, Amsterdam, The Netherlands, August 1996, pp. 35-42.
22. M.E.J. Wood, N.W. Campbell, B.T. Thomas, Iterative refinement by relevance feedback in content-based digital image retrieval, in: Proceedings ACM Multimedia'98, Bristol, UK, September 1998, pp. 13-18.
23. S. Alwis, J. Austin, An integrated framework for trademark image retrieval using gestalt features and CMM neural network, in: Proceedings of the Seventh International Conference on Image Processing and its Applications, Vol. 1, University of Manchester, UK, July 13-15 1999, pp. 290-295.
24. Hu M.K. Visual pattern recognition by moment invariants IRE Trans. Inform. Theory 8 1962 179-187
25. B. Jahne, Digital Image Processing: Concepts, Algorithms and Scientific Applications, 4th Edition, Springer, Berlin, New York, 1997.
26. Teh Cho-Huak T Chin R. On image analysis by the methods of moments IEEE Trans. Pattern Anal. Mach. Intell. 10 4 1998 496-513
27. Liao S.X. Pawlak M. On image analysis by moments IEEE Trans. Pattern Anal. Mach. Intell. 18 3 1996 254-266
28. Bailey R.R. Srinath M. Orthogonal moment features for use with parametric and non-parametric classifiers IEEE Trans. Pattern Anal. Mach. Intell. 18 4 1996 389-398