Image classification and retrieval using correlation

Third Canadian Conference on Computer and Robot Vision, CRV 2006

Volumn 2006, Issue , 2006, Pages

  Ahmad, Imran ^a   Ibrahim, Muhammad Talal ^b  

^a UNIVERSITY OF WINDSOR   (Canada)

^b COMSATS Institute of Information Technology ^*  (Pakistan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; CORRELATION METHODS; DATA REDUCTION; DATABASE SYSTEMS; PROBLEM SOLVING;

IMAGE CLASSIFICATION; IMAGE DATABASE; QUERY IMAGES;

IMAGE RETRIEVAL;

EID: 33845352575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CRV.2006.40     Document Type: Conference Paper

References (15)

1. I. Ahmad and W. I. Grosky. Indexing and retrieval of images by spatial constraint. Journal of Visual Communication and Image Representation, 14(3):291-320, Sept. 2003.
2. L. G. Brown. A Survey of Image Regisration Techniques. ACM Computing Survey, 28(4):325-372, 1992.
3. R. Brunelli and O. Mich. Image Retrieval by Example. IEEE Transactions on Multimedia, 3(2):164-171, 2000.
4. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, 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, Sept. 1995.
5. T. Gevers and A. Smeulders. Pictoseek: Combining color and shape invariant features for image retrieval. IEEE Transactions on Image Processing, 9(1):102-119, 2000.
6. S. Kruger and A. Calway. Image Registration using Multiresolution Frequency Domain Correlation. In Proceedings of the British Machine Vision Conference, pages 316-325, 1998.
7. K.-C. Lee, J. Ho, M.-H. Yang, and D. Kriegman. Visual Tracking and Recognition using Probabilistic Appearance Manifolds. Computer Vision and Image Understanding (CVIU), 99(3):303-331, 2005.
8. Z. C. M. Li, W. Liu, and H. J. Zhang. A Statistical Correlation Analysis in Image Retrieval. Pattern Recognition, 35:2687-2693, 2002.
9. A. Machado, C. N. J. Marinho, M. Fernando, and M. Campos. An image retrieval method based on factor analysis. In Proc. of XVI Brazilian Symp. on Computer Graphics and Image Processing (SIBGRAPI'03), pages 191-196, Oct. 2003.
10. S.-H. Park and H. J. Sung. Correlation-based image registration for applications using pressure-sensitive paint. AIAA Journal, 43(1), Jan. 2005.
11. A. Pentland, R. W. Picard, and S. Sclaroff. Photobook: Tools for Content-Based Manipulation of Image Databases. In Storage and Retrieval for Image and Video Databases II, volume 2185, pages 34-47. SPIE, 1994.
12. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of the early years. IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 22(12): 1349-1380, Dec. 2000.
13. J. R. Smith and S.-F. Chang. VisualSEEk: A Fully Automated Content-Based Image Query System. In Proceedings of ACM Conference on Multimedia, pages 211-218, 1996.
14. URL. http://www.lems.brown.edu/~dmc, 2006.
15. B. M. Wei-Ying Ma. NeTra: A Toolbox for Navigating Large Image Database. Multimedia Systems, 7(3): 184-198, 1999.