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http://www.cs.washington.edu/homes/shapiro
Y. Li and L. G. Shapiro, "Object Recognition for Content-Based Image Retrieval," in Lecture Notes in Computer Science, Springer-Verlag, to appear, 2004.
Content-based retrieval systems utilize measures that are based on low-level attributes of the image itself, including color histograms, color composition, and texture. State-of-the-art research focuses on more powerful measures that can find regions of an image corresponding to known objects that users wish to retrieve. There has been some success in finding human faces of different selected sizes, human bodies, horses, zebras and other texture animals with known patterns, and such backgrounds as jungles, water, and sky. Our research will focus on a unified methodology for feature representation and object class recognition. This work will lead to automatic indexing capabilities in the future.
A. Berman and L. G. Shapiro, "A Flexible Image Database System for Content-Based Retrieval," Computer Vision and Image Understanding, Vol. 75, Nos. 1-2, pp. 175-195, 1999.
D. A. Forsyth, J. Malik, M. M. Fleck, H. Greenspan, T. Leung, S. Belongie, C. Carson, and C. Bregler, "Finding pictures of objects in large collections of images," Proceedings of the 2nd International Workshop on Object Representation in Computer Vision, 1996.
M. Flickner, H. Sawhnew, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steel, P. Yanker,"Query by image and video content: the QBIC system," Computer, pp 23-32, Vol 3, number 9, 1995.
H. Murase and S. K. Nayar, "Visual Learning of Object Models from Appearance," International Journal of Computer Vision, 1992.
C. Papageorgiou and T. Poggio, "A Pattern Classification Approach to Dynamical Object Detection," International Conference on Computer Vision, pp. 1223-1228, 1999.
Y. Rui and T. S. Huang, "Optimizing Learning in Image Retrieval," Proceedings of the IEEE Conference on Computer Vision and Patter Recognition, pp. 236-243, 2000.
L. G. Shapiro and G. C. Stockman, Computer Vision , Prentice Hall, Upper Saddle River, NJ, 2001.
A. Vailaya, M. Figueiredo, A. Jain, and H. J. Zhang, "Content-Based Hierarchical Classification of Vacation Images," Proceedings of IEEE International Conference on Multimedia Computing and Systems, 1999.