Multiple example queries in content-based image retrieval

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2476, Issue , 2002, Pages 227-241

  Tahaghoghi, Seyed M M ^a   Thom, James A ^a   Williams, Hugh E ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; INFORMATION RETRIEVAL;

CBIR SYSTEM; CONTENT-BASED IMAGE RETRIEVAL; IMAGE FEATURES; LARGE IMAGES; LARGE SCALE EXPERIMENTS; QUERY TYPES; QUERY-BY EXAMPLE; RELATIVE PERFORMANCE;

IMAGE RETRIEVAL;

EID: 84958757439     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45735-6_20     Document Type: Conference Paper

References (31)

1. D.H. Ballard and C.M. Brown. Computer Vision. Prentice Hall, 1982.
2. C. Carson, S. Belongie, H. Greenspan, and J. Malik. Region-based image querying. In Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries, 1997.
3. A. Del Bimbo. Visual Information Retrieval. Morgan Kaufmann Publishers Inc., 1999.
4. C. Faloutsos, R. Barber, M. Flickner, J. Hafner, W. Niblack, D. Petkovic, and W. Equitz. Efficient and effective querying by image content. Journal of Intelligent Information Systems, 3(3/4):231–262, 1994.
5. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, and D. Steele. Query by image and video content: The QBIC system. IEEE Computer Magazine, 28(9):23–32, 1995.
6. A. Gupta. Visual information retrieval: A Virage perspective. Technical report, Virage Inc., 1996.
7. Y. Ishikawa, R. Subramanya, and C. Faloutsos. Mindreader: Querying databases through multiple examples. In Proceedings of 24rd International Conference on Very Large Data Bases (VLDB’98), pages 218–227, 1998.
8. C.E. Jacobs, A. Finkelstein, and D.H. Salesin. Fast multiresolution image querying. Computer Graphics, 29(Annual Conference Series):277–286, 1995.
9. W.Y. Ma and B. S. Manjunath. NETRA: A toolboxf or navigating large image databases. In Proceedings of the IEEE International Conference on Image Processing, pages 568–571, 1997.
10. M. Markkula, M. Tico, B. Sepponen, K. Nirkkonen, and E. Sormunen. A test collection for the evaluation of content-based image retrieval algorithms - a user and task-based approach. Information Retrieval, pages 275–294, 2001.
11. B. Moghaddam, H. Biermann, and D. Margaritis. Defining image content with multiple regions of interest. In Proceedings of the IEEE Workshop on Content- Based Access of Image and Video Libraries, pages 89–93, 1999.
12. H. Muller, W. Muller, D. M. Squire, S. Marchand-Maillet, and T. Pun. Automated benchmarking in content-based image retrieval. In Proceedings of the 2001 IEEE International Conference on Multimedia and Expo (ICME2001), 2001.
13. S. Nepal and M. V. Ramakrishna. Single feature query by multi examples in image databases. In Proceedings of SPIE (SPIE Photonic East International Symposium on Voice, Data and Communications), volume 4210, pages 424–435, 2000.
14. S. Nepal, M.V. Ramakrishna, and J.A. Thom. A fuzzy object query language (FOQL) for image databases. In Proceedings of the Sixth International Conference on Database Systems for Advanced Applications, Hsinchu, Taiwan, pages 117–124, 1999.
15. V. E. Ogle and M. Stonebraker. Chabot: Retrieval from a relational database of images. IEEE Computer Magazine, 28(9):40–48, 1995.
16. W. Pearson and W. Miller. Dynamic programming algorithms for biological sequence comparison. Methods in Enzymology, 210:575–601, 1992.
17. K. Porkaew, S. Mehrotra, M. Ortega, and K. Chakrabarti. Similarity search using multiple examples in MARS. In International Conference on Visual Information Systems, VISUAL’99, pages 68–75, 1999.
18. M.V. Ramakrishna, S. Nepal, S. Sumanasekara, and S.M.M. Tahaghoghi. Design of a CBIR system supporting high level concepts. In Proceedings of the Information Resources Management Association International Conference, pages 1164–1167, 2001.
19. Y. Rui, T. S. Huang, and S.-F. Chang. Image retrieval: Past present and future. Journal of Visual Communication and Image Representation, 10:1–23, 1999.
20. G. Salton. Automatic Text Processing: the transformation, analysis, and retrieval of information by computer. Addison Wesley, 1989.
21. U. Shaft and R. Ramakrishnan. Data modeling and querying in the PIQ image DBMS. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, pages 28–36, 1996.
22. J. R. Smith and S.-F. Chang. Tools and techniques for color image retrieval. In Proceedings of the SPIE; Storage and Retrieval for Image and Video Databases, volume 2670, pages 426–437, 1996.
23. J. R. Smith and S.-F. Chang. VisualSEEk: A fully automated content-based image query system. In Proceedings of ACM International Conference on Multimedia, pages 87–98, 1996.
24. A. Spink, D. Wolfram, B. J. Jansen, and T. Saracevic. Searching the Web: The public and their queries. Journal of the American Society for Information Science, 52(3):226–234, 2001.
25. M. Stricker and M. Orengo. Similarity of color images. In Proceedings of the SPIE; Storage and Retrieval for Image and Video Databases, volume 2420, pages 381–392, 1995.
26. S. M. M. Tahaghoghi, J.A. Thom, and H. E. Williams. Are two pictures better than one? In Proceedings of the 12th Australasian Database Conference (ADC2001), volume 23:3, pages 138–144, 2001.
27. S. M. M. Tahaghoghi, J.A. Thom, and H. E. Williams. Colour features in contentbased image retrieval. Technical Report TR-01-5, RMIT University, School of Computer Science and Information Technology, 2001.
28. Text REtrieval Conference (TREC). URL: http://trec.nist.gov.
29. Annotated groundtruth database, Department of Computer Science and Engineering, University of Washington, 1999. URL: http://www.cs.washington.edu/research/imagedatabase/groundtruth/.
30. L. Wenyin, Z. Su, S. Li, Y. Sun, and H. Zhang. A performance evaluation protocol for content-based image retrieval algorithms/systems. In Proceedings of the CVPR Workshop on Empirical Evaluation in Computer Vision, 2001.
31. I. H. Witten, A. Moffat, and T.C. Bell. Managing Gigabytes: Compressing and Indexing Documents and Images. Morgan Kaufmann Publishers Inc., second edition, 1999.