Collaborative image retrieval via regularized metric learning

Multimedia Systems

Volumn 12, Issue 1, 2006, Pages 34-44

  Si, Luo ^a   Jin, Rong ^b   Hoi, Steven C H ^c   Lyu, Michael R ^c  

^a Carnegie Mellon University   (United States)

^b Michigan State University   (United States)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Content based image retrieval; Log based relevance feedback; Metric learning; Regularization; Relevance feedback; Relevance feedback log; Semantic gap; Semidefinite programming; Users

Indexed keywords

ALGORITHMS; COMPUTER PROGRAMMING; COMPUTER SOFTWARE; LEARNING SYSTEMS; SEMANTICS;

LOG-BASED RELEVANCE FEEDBACK; METRIC LEARNING; REGULARIZATION; RELEVANCE FEEDBACK; RELEVANCE FEEDBACK LOG; SEMANTIC GAP; SEMIDEFINITE PROGRAMMING;

CONTENT BASED RETRIEVAL;

EID: 33746873280     PISSN: 09424962     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00530-006-0033-1     Document Type: Article

References (36)

1. Ashwin, T.V., Navendu, J., Ghosal, S.: Improving image retrieval performance with negative relevance feedback. In: Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP'01), UT (2001)
2. Belkin, M., Niyog, P., Sindhwani, V.: Manifold regularization: a geometric framework for learning from examples. Technical Report, Computer Science Technical Report TR-2004-06, University of Chicago (2004)
3. Belkin, M., Niyogi, P.: Laplacian eigenmaps and spectral techniques for embedding and clustering. In: Advances in Neural Information Processing Systems, vol. 14 (2002)
4. Blei, D., Jordan, M.I.: Modeling annotated data. In: Proceedings of the 26th International ACM SIGIR Conference (SIGIR'03), pp. 127-134 (2003)
5. Burges, C.J.C.: A tutorial on support vector machine for pattern recognition. Knowl. Discov. Data Min. 2(2), 121-167 (1998)
6. Cox, I.J., Miller, M., Minka, T., Yianilos, P.: An optimized interaction strategy for Bayesian relevance feedback. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR'98), pp. 553-558. Santa Barbara, CA (1998)
7. Duygulu, P., Barnard, K., de Freitas, J., Forsyth, D.: Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In: Proceedings of the 7th European Conference on Computer Vision, pp. 97-112 (2002)
8. Gill, P.E., Murray, W., Wright, M.H.: Practical Optimization. Academic, London (1981)
9. Gong, Y., Chua Zhang, H.Z., Sakauchi, H.C.M.: An image database system with content capturing and fast image indexing abilities. In: IEEE International Conference on Multimedia Computing and Systems (1994)
10. He, J., Li, M., Zhang, H.J., Tong, H., Zhang, C.: Manifold ranking based image retrieval. In: Proceedings of ACM Multimedia 2004 (2004)
11. He, X., Ma, W.-Y., Zhang, H.-J.: Learning an image manifold for retrieval. In: Proceedings of ACM MM 2004 (2004)
12. He, X., King, O., Ma, W.-Y., Li, M., Zhang, H.J.: Learning a semantic space from user's relevance feedback for image retrieval. IEEE Trans. Cire. Syst. Video Technol. 13(1), 39-48 (2003)
13. Heesch, D., Yavlinsky, A., Rüuger, S.: Performance comparison between different similarity models for cbir with relevance feedback. In: Proceedings of International Conference on Image and Video Retrieval (CIVR'03), LNCS 2728, pp. 456-466. Springer, Berlin Heidelberg New York (2003)
14. Hoi, C.H., Lyu, M.R.: Group-based relevance feeedback with support vector machine ensembles. In: Proceedings 17th International Conference on Pattern Recognition (ICPR'04). Cambridge, UK (2004)
15. Hoi, C.-H., Lyu, M.R.: A novel log-based relevance feedback technique in content-based image retrieval. In: Proceedings of ACM Multimedia 2004 (2004)
16. Hoi, C.H., Lyu, M.R., Jin, R.: Integrating user feedback log into relevance feedback by coupled svm for content-based image retrieval. In: Proceedings of the 1st IEEE International Workshop on Managing Data for Emerging Multimedia Applications (EMMA 2005) (2005)
17. Hoi, C.-H., Lyu, M.R.: Web image learning for searching semantic concepts in image databases. In: Poster Proceedings of the 13th International World Wide Web Conference (WWW'2004), New York (2004)
18. Huang, T.S., Zhou, X.S.: Image retrieval by relevance feedback: from heuristic weight adjustment to optimal learning methods. In: Proceedings of IEEE International Conference on Image Processing (ICIP'01), Thessaloniki, Greece (2001)
19. Jain, A.K., Vailaya, A.: Shape-based retrieval: a case study with trademark image database. Pattern Recognit. 9, 1369-1390 (1998)
20. Jeon, J., Lavrenko, V., Manmatha, R.: Automatic image annotation and retrieval using cross-media relevance models. In: Proceedings of the 26th International ACM SIGIR Conference (SIGIR'03), pp. 119-126 (2003)
21. King, I., Zhong, J.: Integrated probability function and its application to content-based image retrieval by relevance feedback. Pattern Recognit. 36(9), 2177-2186 (2003)
22. Lavrenko, V., Manmatha, R., Jeon, J.: A model for learning the semantics of pictures. In: Advances in Neural Information Processing Systems (NIPS'03) (2003)
23. Lebanon, G.: Learning Riemannian metrics. In: Proceedings of the 19th Conference on Uncertainty in Articial Intelligence (2003)
24. Lu, Y., Hu, C., Zhu, X., Zhang, H.J., Yang, Q.: A unified framework for semantics and feature based relevance feedback in image retrieval systems. In: MULTIMEDIA '00: Proceedings of the Eighth ACM International Conference on Multimedia, pp. 31-37. ACM, New York (2000)
25. Muller, H., Pun, T., Squire, D.: Learning from user behavior in image retrieval: Application of market basket analysis. Int. J. Comput. Vis. 56(1-2), 65-77 (2004)
26. Porkaew, K., Chakrabarti, K., Mehrotra, S.: Query refinement for multimedia retrieval and its evaluation techniques in mars. In: Proceedings of ACM Multimedia (MM'99). Orlando, FL (1999)
27. Rui, Y., Huang, T.S.: A novel relevance feedback technique in image retrieval. In: Proceedings of the ACM Multimedia (MM'99) pp. 67-70. Orlando, FL (1999)
28. Rui, Y., Huang, T.S., Ortega, M., Mehrotra, S.: Relevance feedback: a power tool in interactive content-based image retrieval. IEEE Trans. Circ. Syst. Video Technol. 8(5), 644-655 (1998)
29. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Inf. Proc. Manag.: Int. J. 24(5), 513-523 (1988)
30. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell. 22(12), 1349-1380 (2000)
31. Smith, J., Chang, S.-F.: Automated image retrieval using color and texture. IEEE Trans. Pattern Anal. Mach. Intell. (1996)
32. Sturm, J.F.: Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones. Optimization Methods and Software, pp. 11-12, 625-653. Special issue on Interior Point Methods (CD supplement with software) (1999)
33. Tong, S., Chang, E.: Support vector machine active learning for image retrieval. In: Proceedings of The Ninth ACM International Conference on Multimedia, pp. 107-118. ACM, New York (2001)
34. Vandenberghe, L., Boyd, S.: Semidefinite programming. SIAM Rev. 38(1), 49-95 (1996)
35. Xing, E.P., Ng, A.Y., Jordan, M.I., Russell, S.: Distance metric learning with application to clustering with side-information. In: Thrun, S., Becker, S., Obermayer, K. (eds.) Advances in Neural Information Processing Systems, vol. 15, pp. 505-512. MIT Press, Cambridge, MA (2003)
36. Zhou, X.-D., Zhang, L., Liu, L., Zhang, Q., Shi,B.-L.: A relevance feedback method in image retrieval by analyzing feedback log file. In: Proceedings of the International Conference on Machine Learning and Cybernetics, vol. 3, pp. 1641-1646. Beijing (2002)