A new approach for relevance feedback through positive and negative samples

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2004, Pages 905-908

  Franco, Annalisa ^a   Lumini, Alessandra ^a   Maio, Dario ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED IMAGE RETRIEVAL SYSTEMS (CBIR); DIAGONAL MATRIX; RELEVANCE FEEDBACK;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA ACQUISITION; FEATURE EXTRACTION; INFORMATION RETRIEVAL; MATRIX ALGEBRA; PROBLEM SOLVING;

CONTENT BASED RETRIEVAL;

EID: 10044281344     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1333919     Document Type: Conference Paper

References (18)

1. Ashwin T.V., Jain Navendu and Ghosal Sugata, "Improving Image Retrieval Performance using Negative Relevance Feedback", IEEE ICASSP2001, Salt Lake City, Utah, USA, May 2001
2. Cappelli R., Lumini A., Maio D., "MKL-Tree: A Hierarchical Data Structure for Indexing Multidimensional Data". DEXA 2002: 914-924
3. Cappelli R., Maio D. and Maltoni D., "Multi-space KL for Pattern Representation and Classification", IEEE Trans. on PAMI, vol.23, no.9, pp.977-996, September 2001.
4. Catherine S. Lee, Wei-Ying Ma, HongJiang Zhang "Information Embedding Based on User's Relevance Feedback for Image Retrieval" SPIE Photonic East, Boston, Sept. 20-22
5. Franco A., Lumini A., Maio D., "Eigenspace merging for model updating", in Proc. of ICPR2002, Québec City (Canada), vol.2, pp. 156-159, August 2002.
6. http://kdd.ics.uci.edu/databases/CorelFeatures/CorelFeature s.data.html.
7. IMSI MasterPhotos 50,000: http://www.imsisoft.com.
8. Ishikawa Y., Subramanya R., Faloutsos C., "MindReader: Query Databases Through Multiple Examples", Proc. 24 Int. Conf. on Very Large Databases, New York, 1998, pp. 218-227.
9. Kherfi M.L., Ziou D. and Bemardi A. "Learning from Negative Example in Relevance Feedback for Content-Based Image Retrieval". In Proc. of ICPR2002, Québec, August 2002.
10. Nakazato M., Dagli C. and Huang T.S., "Evaluating GroupBased Relevance Feedback for Content-based Image Retrieval", In Proc. ICIP 2003
11. Nastar C., Mitschke M, and Meihac C. "Efficient Query Refinement for Image Retrieval", IEEE CVPR. 547-552. Santa Barbara, 1998.
12. Rocchio J., "Relevance feedback information retrieval". In Gerard Salton, ed., The Smart retrieval system experiments in automatic document proc. Prentice-Hall, Englewood, NJ, 1971.
13. Rui Y. and Huang T.S., "Optimizing learning in image retrieval", in Conf on Computer Vision and Pattern Recognition (CVPR), Hilton Head, SC, June 2000.
14. Rui Y., Huang T. S., and Mehrotra S., "Content-based image retrieval with relevance feedback in MARS," Proc. IEEE Int. Conf. Image Processing, 1997.
15. Su Z., Zhang H., Li S.Z., Ma S., "Relevance feedback in Content-Based Image Retrieval: Bayesian Framework, Feature Subspace and Progressive Learning". Vol.12, No.8, IEEE Trans. on Image Proc. 2003.
16. Tieu K. and Viola P., "Boosting Image Retrieval", Proc. IEEE Conf. Computer Vision and Pattern Recognition, Hilton Head Island, SC, June, 2000.
17. Vasconcelos N. and Lippman A., "Learning from User Feedback in Image Retrieval Systems". NIPS'99, Denver, Colorado, 1999.
18. Zhou X.S., Huang T.S., "Comparing Discriminate Transformations and SVM for Learning during Multimedia Retrieval", ACM Multimedia, Ottawa, Canada, 2001.