Gaussian mixture model for relevance feedback in image retrieval

Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002

Volumn 1, Issue , 2002, Pages 229-232

  Qian, Fang ^a   Li, Mingjing ^b   Zhang, Lei ^b   Zhang, Hong Jiang ^b   Zhang, Bo ^a  

^a TSINGHUA UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN MIXTURE MODEL; RELEVANCE FEEDBACK;

EID: 84908319791     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2002.1035760     Document Type: Conference Paper

References (8)

1. J. A. Bilmes, "A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models", Technical Report, University of Berkeley, ICSI-TR-97-021, 1997.
2. Y. Ishikawa and R. Subramanya, "MindReader: Query databases through multiple examples", in Proc. of the 24'th VLDB conference, (New York), 1998.
3. T. Joachims, 'Transducüve Inference for Text Classification using Support Vector Machines", Proc. I6th International Conference on Machine Learning, pp. 200-209, San Francisco, CA USA 1999. Morgan Kaufmann.
4. Y. Rui, T. S. Huang, M. Ortega and S. Mehrotra, "Relevance feedback: A power tool in interactive content-based image retrieval", IEEE Transaction on Circuits and Systems for Video Technology, Special Issue on Segmentation, Description, and Retrieval of Video Content, 8(5): 644-655, September 1998.
5. Z. Su, S. Li, H, J. Zhang, "Extraction of Feature Subspaces for Content-Based Retrieval Using Relevance Feedback", in Proc. ACM Multimedia 2001, Ottawa, Canada, Sept. 2001
6. N. Vasconcelos and A. Lippman, "Embedded Mixture Modeling for Efficient Probabilistic Content-Based Indexing and Retrieval", in Proc. of SPIE Conf. on Multimedia Storage and Archiving Systems III, Boston, 1998.
7. 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.
8. L. Zhang, F. Z. Lin, and B. Zhang, "A neural network based self-learning algorithm of image retrieval", Chinese Journal of Software, 12(10): 1479-1485, October 2001.