The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Support vector machine learning for image retrieval
Abstract
A novel method of relevance feedback is presented based on support vector machine learning in the content-based image retrieval system. A SVM classifier can be learned from training data of relevance images and irrelevance images marked by users. Using the classifier, the system can retrieve more images relevant to the query in the database efficiently. Experiments were carried out on a large-size database of 9918 images. It shows that the interactive learning and retrieval process can find correct images increasingly. It also shows the generalization ability of SVM under the condition of limited training samples.
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Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
A Tutorial on Support Vector Machines for Pattern Recognition
Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,429
Relevance feedback: a power tool for interactive content-based image retrieval
Rui, Y., Huang, T. S., Ortega, M., & Mehrotra, S. (1998) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/76.718510 · Cited by 1,764
Image indexing using color correlograms
Huang, J., Kumar, S. R., Mitra, M., Zhu, W.-J., & Zabih, R. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609412 · Cited by 1,646
MindReader: Querying Databases Through Multiple Examples
Ishikawa, Y., Subramanya, R., & Faloutsos, C. (2018) · doi:10.1184/r1/6607295 · Cited by 446
A unified framework for semantics and feature based relevance feedback in image retrieval systems
Lu, Y., Hu, C., Zhu, X., Zhang, H., & Yang, Q. (2000) · Proceedings of the eighth ACM international conference on Multimedia · doi:10.1145/354384.354403 · Cited by 236
Cited by
A survey of content-based image retrieval with high-level semantics
Liu, Y., Zhang, D., Lu, G., & Ma, W.-Y. (2007) · Pattern Recognition · doi:10.1016/j.patcog.2006.04.045 · Cited by 1,696
Metadata
- Authors
- Zhang, L., Lin, F., & Zhang, B.
- Venue
- Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)
- Publisher
- IEEE
- Published
- 2002-11-13
- Volume
- 2
- Pages
- 721-724
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W1586847502
- Cited by
- 253
- References
- 6
- FWCI
- 7.64
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Zhang, L., Lin, F., & Zhang, B. (2002). Support vector machine learning for image retrieval. Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205). https://doi.org/10.1109/icip.2001.958595
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