Indexing for multipoint interactive similarity retrieval in iconic spatial image databases

Journal of Visual Languages and Computing

Volumn 19, Issue 1, 2008, Pages 24-38

  Zhou, Xiao Ming ^a   Ang, Chuan Heng ^b   Ling, Tok Wang ^b  

^a Sybase Asia Development Center   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Iconic image; Interactive; Similarity retrieval

Indexed keywords

EID: 38049049731     PISSN: 1045926X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jvlc.2007.08.009     Document Type: Article

References (19)

1. E. Chang, B. Li, C. Li, Towards perception-based image retrieval, in: Proceedings of IEEE Workshop on Content-Based Access of Image and Video Libraries, 2000, pp. 101-105.
2. Di Sciascio E., Donini F.M., and Mongiello M. Spatial layout representation for query-by-sketch content-based image retrieval. Pattern Recognition Letters 23 13 (2002) 1599-1612
3. C.H. Ang, T.W. Ling, X.M. Zhou, Qualitative spatial relationships representation IO&T and its retrieval, in: Ninth International Conference, DEXA'98, Vienna, Austria, August 1998. Lecture Notes in Computer Science 1460, pp. 270-279.
4. Nabil M., Ngu A.H.H., and Sheperd J. Picture similarity retrieval using 2D projection interval representation. IEEE Transactions on Knowledge and Data Engineering 8 4 (1998) 533-539
5. I. Bartolini, P. Ciaccia, F. Wass, FeedbackBypass: a new approach to interactive similarity query processing, in: Proceedings of the 27th VLDB Conference, Roma, Italy, 2001, pp. 201-210.
6. Y. Ishikawa, R. Subramanya, C. Faloutsos, Mindreader: querying databases through multiple examples, in: Proceedings of the 24th VLDB Conference, New York City, New York, USA, 1998, pp. 218-227.
7. K. Porkaew, K. Chakrabarti, S. Mehrotra, Query refinement for multimedia similarity in MARS, in: ACM International Multimedia Conference, Orlando, FL, USA, 1999, pp. 235-238.
8. Rui Y., Huang T.S., Ortega M., and Mehrotra S. Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Transactions on Circuits and Video Technology 8 5 (1998) 644-655
9. Chang S.K., Shi Q.Y., and Yan C.W. Iconic indexing by 2D strings. IEEE Transactions on Pattern Recognition and Machine Intelligence 9 3 (1987) 413-428
10. Chang C.C. Spatial match retrieval of symbolic pictures. Journal of Information Science and Engineering 7 (1991) 405-422
11. Chang C.C. A fast algorithm to retrieve symbolic pictures. International Journal of Computer Mathematics 43 1 (1992) 133-138
12. El-Kwae E.A., and Kabuka M.R. A robust framework for content-based retrieval by spatial similarity in image database. ACM Transactions on Information Systems 17 2 (1999) 174-198
13. El-Kwae E.A., and Kabuka M.R. Efficient content-based indexing of large image databases. ACM Transactions on Information Systems 18 2 (2000) 171-210
14. X.M. Zhou, C.H. Ang, T.W. Ling, Indexing iconic image database for interactive spatial similarity retrieval, in: 9th International Conference on Database Systems for Advanced Applications, DASFAA 2004, Jeju Island, Korea, March 2004. Lecture Notes in Computer Science 2973, pp. 314-324.
15. P. Ciaccia, M. Patella, P. Zezula, M-tree: an efficient access method for similarity search in metric spaces, in: Proceedings of the 23rd VLDB Conference, Athens, Greece, 1997, pp. 426-435.
16. C.C. Aggarwal, A human-computer cooperative system for effective high dimensional clustering, in: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data mining, San Francisco, CA, United States, 2001, pp. 221-226.
17. C. Buckley, G. Salton, Optimization of relevance feedback weights, in: Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington, United States, 1995, pp. 351-357.
18. Rocchio Jr. J.J. Relevance feedback in information retrieval. In: Salton G. (Ed). The SMART Retrieval System: Experiments in Automatic Document Processing (1971), Prentice-Hall, Englewood Cliffs, NJ 313-323
19. D.H. Kim, C.W. Chung, Qcluster: relevance feedback using adaptive clustering for content-based picture retrieval, in: Proceedings of the 2003 ACM SIGMOD, San Diego, CA, 2003, pp. 599-611.