Image retrieval with relevance feedback based on graph-theoretic region correspondence estimation

IEEE Transactions on Multimedia

Volumn 10, Issue 3, 2008, Pages 447-456

  Li, Chueh Yu ^b   Hsu, Chiou Ting ^a,b  

^a IEEE

^b NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Content based image retrieval; Generalized adjacency matrix; Inexact graph matching; Maximum likelihood estimation; Region correspondence; Relevance feedback

Indexed keywords

GRAPH THEORY; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; PATTERN MATCHING;

CONTENT-BASED IMAGE RETRIEVAL; GENERALIZED ADJACENCY MATRIX; INEXACT GRAPH MATCHING; REGION CORRESPONDENCE; RELEVANCE FEEDBACK;

IMAGE RETRIEVAL;

EID: 41549086682     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2008.917421     Document Type: Conference Paper

References (34)

1. J. Li, J. Z. Wang, and G. Wiederhold, "IRM: Integrated region matching for image retrieval," in Proc. ACM Multimedia, 2000.
2. H. Greenspan, G. Dvir, and Y. Rubner, "Region correspondence for image matching via EMD flow," in Proc. IEEE Workshop on ContentBased Access of Image and Video Libraries, 2000.
3. C. Y. Li and C. T. Hsu, "Soft region correspondence estimation for graph-theoretic image retrieval using quadratic programming approach," in Proc. IEEE Int. Conf. Multimedia and Expo, 2005.
4. C. T. Hsu and C. Y. Li, "Relevance feedback using generalized bayesian framework with region-based optimization learning," IEEE Trans. Image Process., vol. 14, no. 10, pp. 1617-1631, Oct. 2005.
5. J. W. Hsieh and W. E. L. Grimson, "Spatial template extraction for image retrieval by region matching," IEEE Trans. Image Process., vol. 12, no. 11, pp. 1404-1415, Nov. 2003.
6. K. Kailing, H. P. Kriegel, and S. Schönauer, "Content-based image retrieval using multiple representations," in Proc. Int. Conf. Knowledge-Based Intelligent Information and Engineering Systems, 2004.
7. B. Fischer, C. Thies, M. O. Guld, and T. M. Lehmann, "Content-based image retrieval by matching hierarchical attributed region adjacency graphs," in Proc. SPIE Medical Imaging, 2004.
8. R. Baeza-Yates and G. Valiente, "An image similarity measure based on graph matching," in Proc. IEEE Int. Symp. String Processing Information Retrieval, 2000.
9. Y. Ishikawa, R. Subramanya, and C. Faloutsos, "MindReader: Querying databases through multiple examples," in Proc. Int. Conf. Very Large Data Bases, 1998.
10. Y. Rui and T. S. Huang, "Optimizing learning in image retrieval," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, 2000.
11. M. L. Kherfi, D. Ziou, and A. Bernardi, "Learning from negative example in relevance feedback for content-based image retrieval," in Proc. IEEE Int. Conf. Pattern Recognition, 2002.
12. G. Aggarwal, T. V. Ashwin, and S. Ghosal, "An image retrieval system with automatic query modification," IEEE Trans. Multimedia, vol. 4, no. 3, pp. 201-214, Jun. 2002.
13. C. Zhang, S. C. Chen, and M. L. Shyu, "Multiple object retrieval for image databases using multiple instance learning and relevance feed-back," in Proc. IEEE Int. Conf. Multimedia and Expo, 2004.
14. F. Jing, M. Li, H. J. Zhang, and B. Zhang, "Relevance feedback in region-based image retrieval," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 5, pp. 672-681, May 2004.
15. F. Jing, M. Li, H. J. Zhang, and B. Zhang, "An efficient and effective region-based image retrieval framework," IEEE Trans. Image Process., vol. 13, no. 5, pp. 699-709, May 2004.
16. Y. Chen, and J. Z. Wang, "A region-based fuzzy feature matching approach to content-based image retrieval," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 9, pp. 1252-1267, Sep. 2002.
17. C. Y. Li, M. C. Shih, and C. T. Hsu, "Image retrieval with relevance feedback based on graph-theoretic region correspondence estimation," in Proc. Int. Conf. Pattern Recognition, 2004.
18. C. Y. Li and C. T. Hsu, "Region correspondence for image retrieval using graph-theoretic approach and maximum likelihood estimation," in Proc. IEEE Int. Conf. Image Processing, 2004.
19. R. Zhang and Z. Zhang, "Effective image retrieval based on hidden concept discovery in image database," IEEE Trans. Image Process., vol. 16, no. 2, pp. 562-572, Feb. 2007.
20. P. Muneesawang and L. Guan, "An interactive approach for CBIR using a network of radial basis functions," IEEE Trans. Multimedia, vol. 6, no. 6, pp. 703-716, Oct. 2004.
21. X. He, O. King, W. Y. Ma, M. Li, and H. J. Zhang, "Learning a semantic space from user's relevance feedback for image retrieval," IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 1, pp. 39-48, Jan. 2003.
22. D. Tao, X. Tang, X. Li, and X. Wu, "Asymmetric bagging and random subspace for support vector machines-based relevance feedback, in image retrieval," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 7, pp. 1088-1099, Jul. 2006.
23. G. D. Guo, A. K. Jain, W. Y. Ma, and H. J. Zhang, "Learning similarity measure for natural image retrieval with, relevance feedback," IEEE Trans. Neural Netw., vol. 13, no. 4, pp. 811-820, Jul. 2002.
24. N. Vasconcelos, "Minimum probability of error image retrieval," IEEE Trans. Signal Process., vol. 52, no. 8, pp. 2322-2336, Aug. 2004.
25. D. Tao, X. Tang, X. Li, and Y. Rui, "Direct kernel biased discriminant analysis: A new content-based image retrieval relevance feedback, algorithm," IEEE Trans. Multimedia, vol. 8, no. 5, pp. 716-727, Aug. 2006.
26. A. Grigorova, F. G. B. De Natale, C. Dagli, and T. S. Huang, "Content-based image retrieval by feature adaptation and relevance feedback," IEEE Trans. Multimedia, vol. 9, no. 6, pp. 1183-1192, Oct. 2007.
27. S. Kiranyaz and M. Cabbouj, "Hierarchical cellular tree: An efficient indexing scheme for content-based retrieval on multimedia databases," IEEE Trans. Multimedia, vol. 9, no. 1, pp. 102-119, Jan. 2007.
28. M. L. Kherfi and D. Ziou, "Image collection, organization and its application to indexing, browsing, summarization, and semantic retrieval," IEEE Trans. Multimedia, vol. 9, no. 4, pp. 893-900, Jun. 2007.
29. T. M. Mitchell, Machine Learning. New York: McGraw-Hill, 1997.
30. B. Luo and E. R. Hancock, "Structural graph matching using the EM algorithm and singular value decomposition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 10, pp. 1120-1136, Oct. 2001.
31. R. A. Horn and C. R. Johnson, Matrix Analysis. Cambridge, U.K.: Cambridge University Press, 1985.
32. D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal, Mach. Intelli., vol. 23, no. 5, pp. 603-619, May 2002.
33. A. D. Bimbo, Visual Information Retrieval. San Mateo, CA: Morgan Kaufmann, 1999.
34. L. G. Shapiro and G. C. Stockman, Computer Vision. Upper Saddle River, NJ: Prentice-Hall, 2001.