Learning in content-based image retrieval

Proceedings - 2nd International Conference on Development and Learning, ICDL 2002

Volumn , Issue , 2002, Pages 155-162

  Huang, T S ^a   Zhou, Xiang Sean ^a   Nakazato, M ^a   Wu, Ying ^b   Cohen, I ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b Northwestern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; FEEDBACK; IMAGE RETRIEVAL; USER INTERFACES;

CONTENT-BASED IMAGE RETRIEVAL; KERNEL BASED BIASED DISCRIMINANT ANALYSIS; LEARNING PROBLEM; RELEVANCE FEEDBACK; SMALL SAMPLES; UNLABELED DATA; USER FEEDBACK; WORD ASSOCIATION;

CONTENT BASED RETRIEVAL;

EID: 84962019941     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEVLRN.2002.1011829     Document Type: Conference Paper

References (27)

1. G. Salton, Automatic text processing, Reading, Mass.: Addison-Wesley. 1989.
2. X.S. Zhou and T.S. Huang. "Exploring the nature and variants of relevance feedback," in proc. IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL), in conjunction with CVPR. Hawaii. Dec. 2001.
3. X.S. Zhou and T.S. Huang. "Small sample learning during multimedia retrieval using BiasMap," in proc. Int'l Conf. Computer Vision and Pattern Recognition. Hawaii. Dec. 2001.
4. K. Barnard and D.A. Forsyth. "Learning the semantics of words and pictures," in proc. Int'l Conf. on Computer Vision. Vancouver. July 2001.
5. X.S. Zhou and T.S. Huang. "Unifying keywords and contents for image retrieval," in proc. International Workshop on Content-Based Multimedia Indexing. Italy. Sept. 2001.
6. M. Nakazato, L. Manola, and T.S. Huang. "ImageGrouper: Search, Annotate and Organize Image by Groups," in proc. The Fifth International Conference on Visual Information System (VIS'2002) 2002.
7. M. Seeger, Learning with labeled and unlabeled data, in Technical Report. 2001, Edinburgh University, UK.
8. Y. Wu, Q. Tian, and T.S. Huang. "Discriminant EM algorithm with application to image retrieval," in proc. IEEE Conf. Computer Vision and Pattern Recognition. South Carolina. June 2000.
9. F.G. Cozman and I. Cohen. "Unlabeled data can degrade classification performance of generative classifiers," in proc. The 15th International FLAIRS Conference 2002.
10. I. Cohen, F.G. Cozman, and A. Bronstein. "The effect of unlabeled data on generative classifiers, with application to model selection," in proc. AAAI (Submitted) 2002.
11. M.R. Naphade, X.S. Zhou, and T.S. Huang. "Image classification using labeled and unlabeled images," in proc. SPIE Intl. Symposium on Voice, Video and Data Communications, Program on "Internet Multimedia Management Systems". Boston, MA. Nov 2000.
12. D. Angluin, Queries and concept learning. Machine Learning. 2.(3)1988 p. 319-42.
13. Y. Freund, et al. "Selective sampling using the query by committee algorithm," in proc. Advances in Neural Information Processing Systems. Cambridge, MA. MIT Press 1993.
14. D.D. Lewis and W.A. Gale. "A sequential algorithm for training text classifiers," in proc. ACM-SIGIR Conf. R&D in Information Retrieval. Dublin, Ireland. July 1994.
15. I.J. Cox, et al., The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments. IEEE Trans. On Image Processing. 9.(1)2000 p. 20-37.
16. B. Li, E. Chang, and C. Li. "Learning Image Query Concepts via Intelligent Sampling," in proc. Int'l Conf. on Multimedia and Exposition. Tokyo, Japan. August 2001.
17. S. Tong and E. Chang. "Support vector machine sctive learning for image retrieval," in proc. ACM Multimedia. Ottawa, Canada. Sept. 2001.
18. Z. Su, S. Li, and H. Zhang. "Extraction of feature subspaces for content-based retrieval using relevance feedback," in proc. ACM Multimedia'2001. Ottawa, Ontario, Canada. Sept. 30-Oct 5 2001.
19. B. Moghaddam, Q. Tian, and X.S. Zhou. "Visualizing images using extracted features," in proc. US Patent. pending. 2001.
20. B. Moghaddam, et al. "Visualization and layout for personal photo libraries," in proc. Int'l Workshop on Content-based Multimedia Indexing. Italy. Sept. 19-21 2001.
21. V. Vapnik, The nature of statistical learning theory, New York: Springer. 1995.
22. S. Minka, et al. "Fisher discriminant analysis with kernels," in proc. IEEE workshop on Neural Networks for Signal Processing 1999.
23. X.S. Zhou and T.S. Huang, Edge-based structural features for content-based image retrieval. Pattern Recognition Letters. 22.2001 p. 457-468.
24. Y. Rui and T.S. Huang. "Optimizing learning in image retrieval," in proc. IEEE Conf. Computer Vision and Pattern Recognition. South Carolina. June 2000.
25. X.S. Zhou and T.S. Huang, Unifying keywords and visual contents in image retrieval. IEEE Multimedia,(April-June)2002 p.
26. Y. Wu, K. Toyama, and T.S. Huang. "Self-supervised learning for object recognition based on kernel discriminant-EM algorithm," in proc. IEEE Int'l Conference on Computer Vision. Vancouver. July 2001.
27. Y. Wu and T.S. Huang. "Towards self-exploring discriminating features," in proc. IAPR Int'l Workshop on Machine Learning and Data Mining in Patter Recognition (MLDM'01). Leipzig, Germany. July 2001.