Entropy-based active learning with support vector machines for content-based image retrieval

2004 IEEE International Conference on Multimedia and Expo (ICME)

Volumn 1, Issue , 2004, Pages 85-88

  Jing, Feng ^a   Li, Mingjing ^b   Zhang, Hong Jiang ^b   Zhang, Bo ^a  

^a Stt Key Lab Intelligent T/S   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CONTENT BASED RETRIEVAL; ENTROPY; FEEDBACK CONTROL; IMAGE ANALYSIS; INFORMATION THEORY; MULTIMEDIA SYSTEMS; PROBABILITY; RANDOM PROCESSES; REAL TIME SYSTEMS; SEMANTICS; SET THEORY;

ENTROPY-BASED ACTIVE LEARNING SCHEME; MACHINE LEARNING TECHNOLOGY; RELEVANCE FEEDBACK (RF); SUPPORT VECTOR MACHINES (SVM);

LEARNING SYSTEMS;

EID: 11244252979     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Chapelle, O., Haffner, P., and Vapnik, V., "SVMs for Histogram-based Image Classification". IEEE Transaction on Neural Networks, 10(5), Sep. 1999, pp. 1055-1065.
2. Cristianini, N., Shawe-Taylor, J., "An Introduction to Support Vector Machines." Cambridge University Press, Cambridge, UK, 2000.
3. Huang, J., et al, "Image indexing using color correlograms". In Proc. IEEE Comp. Soc. Conf. Comp. Vis. and Part. Rec., pages 762-768, 1997.
4. Jing, F., Li, M., Zhang, H.J., Zhang, B., "Support Vector Machines for Region-Based Image Retrieval", Proc. IEEE International Conference on Multimedia & Expo, 2003.
5. Platt, J., "Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods", in Advances in Large Margin Classifiers, MIT Press, 2000. pp. 61-74.
6. Salton, G., "Automatic text processing", Addison-Wesley, 1989.
7. Tong, S. and Chang, E. "Support vector machine active leaning for image retrieval," ACM Multimedia 2001, Ottawa, Canada.