A multiple instance learning approach for content based image retrieval using one-class support vector machine

IEEE International Conference on Multimedia and Expo, ICME 2005

Volumn 2005, Issue , 2005, Pages 1142-1145

  Zhang, Chengcui ^a   Chen, Xin ^a   Chen, Min ^b   Chen, Shu Ching ^b   Shyu, Mei Ling ^c  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b The Department of Electrical and Computer Engineering   (United States)

^c UNIVERSITY OF MIAMI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MULTIPLE INSTANCE LEARNING (MIL); RELEVANCE FEEDBACK TECHNIQUE; SUPERVISED LEARNING PROBLEM; SUPPORT VECTOR MACHINES (SVM);

ALGORITHMS; FEEDBACK; IMAGE PROCESSING; LEARNING SYSTEMS; PROBLEM SOLVING; VECTORS;

CONTENT BASED RETRIEVAL;

EID: 33750547285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2005.1521628     Document Type: Conference Paper

References (7)

1. B. Schölkopf, J.C. Platt, et al. "Estimating the support of a high-dimensional distribution," Microsoft Research Corporation Technical Report MSR-TR-99-87, 1999.
2. Y. Rui, T.S. Huang, and S. Mehrotra, "Content-based Image Retrieval with Relevance Feedback in MARS," Proc. of the International Conf. on Image Processing, pp. 815-818, 1997.
3. C. Carson, S. Belongie, H. Greenspan, and J. Malik, "Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 24, No.8, 2002.
4. Z. Su, H.J. Zhang, S. Li, and S.P. Ma, "Relevance Feedback in Content-based Image Retrieval: Bayesian Framework, Feature Subspaces, and Progressing Learning," IEEE Trans. on Image Processing, Vol. 12, No. 8, pp. 924-937, 2003.
5. O. Maron, and T. Lozano-Perez, "A Framework for Multiple Instance Learning," Advances in Natural Information Processing System 10. Cambridge, MA, MIT Press, 1998.
6. Y. Chen, X. Zhou, S. Tomas, and T.S. Huang, "One-Class SVM for Learning in Image Retrieval," Proc. of IEEE International Conf. on Image Processing, 2001.
7. rd International Workshop on Multimedia Data Mining (MDM/KDD'2002), pp. 100-108, 2002.