Visual structures for image browsing

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2003, Pages 49-55

  Torres, Ricardo S ^a   Silva, Celmar G ^a   Medeiros, Claudia B ^a   Rocha, Heloisa V ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Content based Image Retrieval (CBIR); Focus+context views; Image Browsing; Information Visualization; Visual Structures

Indexed keywords

DATABASE SYSTEMS; IMAGE ANALYSIS; INDEXING (OF INFORMATION); INFORMATION ANALYSIS; QUERY LANGUAGES; SEARCH ENGINES; USER INTERFACES; VISUALIZATION;

CONTENT BASED IMAGE RETRIEVAL (CBIR); FOCUS+CONTENT VIEWS; IMAGE BROWSING; INFORMATION VISUALIZATION; VISUAL STRUCTURES;

CONTENT BASED RETRIEVAL;

EID: 18744378591     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/956873.956874     Document Type: Conference Paper

References (25)

1. C. Ahlberg and B. Snheiderman. Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays. In ACM Conference on Human Factors in Computing Systems, pages 313-317, 479-480, 1994.
2. B. B. Bederson. Photomesa: A Zoomable Image Browser Using Quantum Treemaps and Bubblemaps. In ACM Symposium on User Interface Software and Technology, pages 71-80, 2001.
3. S. K. Card, J. D. Mackinlay, and B. Shneiderman. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers, 1999.
4. J. V. Carlis and J. A. Konstan. Interactive Visualization of Serial Periodic Data. In 11th Annual Symposium on User Interface Software and Technology, Nov. 1998.
5. E. H. Chi. A Taxonomy of Visualization Techniques Using the Data State Reference Model. In IEEE Symposium on Information Visualization, pages 69-76, 2000.
6. P. Ciaccia, M. Patella, and P. Zezula. M-tree: An Efficient Access Method for Similarity Search in Metric Spaces. VLBD Journal, pages 426-435, 1997.
7. T. T. A. Combs and B. B. Bederson. Does Zooming Improve Image Browsing? In Proceedings of the Fourth ACM International Conference on Digital Libraries, pages 130-137, 1999.
8. M. Flickner, H. Sawhney, W. Niblack, Q. H. J. Ashley, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker. Query by Image and Video Content: the QBIC System. IEEE Computer, 28(9):23-32, Sep 1995.
9. G. G. R. J. D. Mackinlay and R. DeLine. Developing Calendar Visualizers for the Information Visualizer. In ACM Symposium on User Interface Software and Technology, pages 109-118, 1994.
10. D. A. Keim. Information Visualization and Visual Data Mining. IEEE Transactions on Visualization and Computer Graphics, 8(1):1-8, Jan/March 2002.
11. S. D. MacArthur, C. E. Brodley, A. C. Kak, and L. S. Broderick. Interactive Content-Based Image Retrieval Using Relevance Feedback. Computer Vision and Image Understanding, 88(2):55-75, 2002.
12. V. E. Ogle and M. Stonebraker. Chabot: Retrieval from Relational Database of Images. IEEE Computer, 28(9):40-48, Sep 1995.
13. K. Rodden, W. Basalaj, D. Sinclair, and K. Wood. Does Organization by Similarity Assist Image Browsing? In ACM Conference on Human Factors in Computing Systems, volume 3, pages 190-197, 2001.
14. S. Santini, A. Gupta, and R. Jain. Emergent Semantics through Interaction in Image Databases. IEEE Transactions on Knowledge and Data Engineering, 13(3):337-351, May/June 2001.
15. B. Shneiderman. The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In IEEE Symposium on Visual Languages, pages 336-343, Sep 1996.
16. A. W. M. Smoulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-Based Image Retrieval at the End of the Early Years. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12):1349-1380, December 2000.
17. D. Stan and I. K. Sethi. eID: a System for Exploration of Image Databases. Information Processing nad Management, 39:335-365, 2003.
18. Q. Tian, B. Moghaddam, and T. S. Huang. Display Optimization for Image Browsing. In 2nd International Workshop on Multimedia Databases and Image Communications, Sep 2001.
19. R. S. Torres. Integrating Image and Spatial Data for Biodiversity Information Management. PhD thesis. Institute of Computing, University of Campinas, 2004. Under development.
20. R. S. Torres, A. X. Falcão, and L. F. Costa. Shape Description by Image Foresting Transform. In 14th International Conference on Digital Signal Processing, Santorini, Greece, July 2002.
21. R. S. Torres, A. X. Falcão, and L. F. Costa. A Graph-based Approach for Multiscale Shape Analysis. Technical Report IC-0303, Institute of Computing, University of Campinas, January 2003.
22. R. S. Torres, E. M. Picado, A. X. Falcão, and L. F. Costa. Effective Image Retrieval by Shape Saliences. In Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI03), São Carlos, São Paulo, Brazil, 12-15 October 2003.
23. S. Wang and H. Wang. Knowledge Discovery Through Self-Organizing Maps: Data Visualization and Query Processing. Knowledge and Information Systems, 4(1):31-45, 2002.
24. M. Weber, M. Alexa, and W. Muller. Visualizing Time-Series on Spirals. In IEEE Info Vis Symposium, pages 7-14, 2001.
25. K.-P. Yee, D. Fisher, R. Dhamija, and M. A. Hearst. Animated Exploration of Dynamic Graphs with Radial Layout. In IEEE Symposium on Information Visualization, pages 43-50, 2001.