Improving image retrieval effectiveness via multiple queries

Multimedia Tools and Applications

Volumn 26, Issue 2, 2005, Pages 221-245

  Jin, Xiangyu ^a   French, James C ^a  

^a University of Virginia   (United States)

Author keywords

Content based image retrieval; Multi channel CBIR; Relevance feedback; Result merging

Indexed keywords

APPROXIMATION THEORY; IMAGE ANALYSIS; ITERATIVE METHODS; MULTIMEDIA SYSTEMS; SEMANTICS; SET THEORY;

CONTENT-BASED IMAGE RETRIEVAL; MULTI-CHANNEL CBIR; RELEVANCE FEEDBACK; RESULT MERGING;

CONTENT BASED RETRIEVAL;

EID: 21244441908     PISSN: 13807501     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11042-005-0453-5     Document Type: Conference Paper

References (28)

1. N. Belkin, C. Cool, W. Croft, and J. Callan, "The effect of multiple query representations on information retrieval system performance," in Proc. of ACM SIGIR, Pittsburgh, PA, 1993, pp. 339-346.
2. N. Belkin, P. Kantor, C. Cool, and R. Quatrain, "Combining evidence for information retrieval," in Proc. of TREC-2, Gaithersburg, MD, March 1994, pp. 35-44.
3. Y. Chen, J.Z. Wang, and R. Krovetz, "An unsupervised learning approach to content-based image retrieval," Seventh International Symposium on Signal Processing and its Applications (ISSPA 2003), Paris, July, 2003.
4. C. Dwork, R. Kumar, M. Naor, and D. Sivakumar, "Rank aggregation methods for the web, proceedings of the 10th international World Wide Web conference," 2001, pp. 613-622.
5. R. Fagin, R. Kumar, and D. Sivakumar, "Comparing Top k Lists," in Proceedings of the ACM-SIAM Symposium on Discrete Algorithms, 2003.
6. J.C. French, A.C. Chapin, and W.N. Martin, "Multiple viewpoints as an approach to digital library interfaces," Workshop on Document Search Interface Design and Intelligent Access in Large-scale Collections, Portland, OR, July, 2002.
7. J.C. French. X. Jin, and W.N. Martin, "An empirical investigation of the scalability of a multiple viewpoint cbir system," International Conference on Image and Video Retrieval (CIVR 2004), Dublin, Ireland, 2004, July 21-23.
8. J.C. French, W.N. Martin, and J.V.S. Watson. "A qualitative examination of content-based image relrieval behavior using systematically modified test images," 45th IEEE International Midwest Symposium on Circuits and Systems, Tulsa, OK, August, 2002.
9. J.C. French, J.V.S. Watson, X. Jin, and W.N. Martin, "Integrating multiple multi-channel cbir systems," International Work Shop on Multimedia Information System (MIS'03), Ischia, Italy, May, 2003.
10. J.C. French, J.V.S. Watson, X. Jin, and W.N. Martin, "Using multiple image representations to improve the quality of content-based image retrieval," Tech. Report CS-2003-10, Dept of Computer Science, Univ. of Virginia, March, 2003.
11. K. Hirata and T. Kato, "Query by visual example-content based image retrieval." in Proc. of 3rd International Conference on Extending Database Technology, Vienna, Austria, March 1992, Vol. 580 of LNCS, pp. 56-71.
12. T.S. Huang and Y. Rui, "Image retrieval: Past present and future," in Proc. of Int. Symposium on Multimedia Information Processing, Taiwan, Dec. 1997.
13. Y. Ishikawa, R. Subramanya, and C. Faloutsos, "MindReader: Querying database through multiple examples," 24th International Conference on Very Large Databases (VLDB'98), New York, USA, August, 1998.
14. X. Jin and J.C. French, "Improving image retrieval effectiveness via multiple queries," in First ACM International Workshop on Multimedia Databases (MMDB'03), New Orleans, Louisiana, Nov. 2003, pp. 86-93
15. D. Kim and C. Chung "Qcluster Relevance feedback using adaptive clustering for content-based image retrieval," in Proc. of SIGMOD'03, San Diego, CA, June, 2003.
16. W. Liu, S. Dumais, Y. Sun, H. Zhang, M. Czerwinski, and B. Field, "Semi-automatic image annotation," in Proc. of Human-Computer Interaction-Interact, 2001, pp. 326-333.
17. W. Niblack, R. Barber, W. Equitz, et al. "The QBIC project: Querying images by content using color, texture, and shape," in Proc. of SPIE Electronic Imaging: Science and Technology, San Jose, CA, 1993.
18. K. Porkaew, K. Chakrabarti, and S. Mehrotra, "Query refinement for content-based multimedia retrieval in MARS," in Proc. of the 7th. ACM Int. Conf. on Multimedia, pp. 235-238, 1999.
19. Y. Rui, T.S. Huang, M. Ortega, and S. Mehrotra, "Relevance feedback: A power tool in interactive content-based image retrieval," IEEE Tran on Circuits and Systems for Video Technology. Special Issue on Segmentation, Description, and Retrieval of Video Content, pp. 644-655, Vol. 8, No. 5, Sept. 1998.
20. G. Sheikholeslami, W. Chang, and A. Zhang, "SemQuery: Semantic clustering and querying on heterogeneous features for visual data," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 14, No. 5, pp. 988-1002, September/October, 2002.
21. G. Salton, E.A. Fox, and H. Wu, "Extended boolean information retrieval," Communications of the ACM, Vol. 26, No. 12, pp. 1022-1036, Dec. 1983.
22. G. Salton and M.J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill, 1989.
23. S.M.M. Tahaghoghi, J.A. Thom, and H.E. Williams, "Are two pictures better than one?" in Proc. of the 12th Australasian Database Conference (ADC'01), Gold Coast, Australia, January, 2001, pp. 138-144.
24. C.J. van Rijsbergern, Information Retrieval (2nd edition), Butterworths, London, 1979.
25. J.Z. Wang and Y. Du, "Scalable integrated region-based image retrieval using irm and statistical clustering," in Proc. of ACM/IEEE Joint Conference on Digital Libraries (JCDL'01), Roanoke, VA, June, 2001.
26. L. Wu, C. Faloutsos, K. Sycara, and T. Payne, "Falcon: Feedback adaptive loop for content-based retrieval," in Proc. of 26th International Conference on Very Large Data Bases (VLDB), Cairo, Egypt, 2000, pp. 297-306.
27. A. Yoshitaka and T. Ichikawa, "A survey on content-based retrieval for multimedia database," IEEE Trans. on Knowledge and Data Engineering, Vol. 11, No. 1, pp. 81-93.
28. H. Zhang, Z. Chen, M. Li, and Z. Su, "Relevance feedback and learning in content-based image search," World Wide Web, Vol. 6, No. 2, pp. 131-155, 2003.