CLEF2008 image annotation task: An SVM confidence-based approach

CEUR Workshop Proceedings

Volumn 1174, Issue , 2008, Pages

  Tommasi, Tatiana ^a   Orabona, Francesco ^a   Caputo, Barbara ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

Automatic image annotation; Confidence estimation; Cue integration; Kernel methods; Support vector machines; Virtual examples

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; IMAGE RETRIEVAL; MEDICAL IMAGING; SUPPORT VECTOR MACHINES;

AUTOMATIC IMAGE ANNOTATION; CONFIDENCE ESTIMATION; CUE INTEGRATION; KERNEL METHODS; VIRTUAL EXAMPLES;

DIGITAL LIBRARIES;

EID: 84921964004     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. T. Ahonen, A. Hadid, and M. Pietikinen. Face description with local binary patterns: application to face recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, 28(12):2037-2041, 2006.
2. N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines (and Other Kernel-Based Learning Methods). Cambridge University Press, 2000.
3. T. Deselaers, H. Müller, P. Clough, H. Ney, and T. Lehmann. The CLEF 2005 automatic medical image annotation task. International Journal of Computer Vision, 74(1), 2007.
4. C. Fowlkes, S. Belongie, F. Chung, and J. Malik. Spectral grouping using the Nyström method. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(2):214-225, 2004.
5. D. Keysers, J. Dahmen, H. Ney, B. B. Wein, and T. M. Lehmann. A statistical framework for model-based image retrieval in medical applications. J. Electronic Imaging, 12(1):59-68, 2003.
6. S. Lazebnik, C. Schmid, Cordelia, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2169-2178, 2006.
7. T. M. Lehmann, H. Schubert, D. Keysers, M. Kohnen, and B. B. Wein. The IRMA code for unique classification of medical images. In Proc. of International Society for Optical Engineering, pages 440-451, San Diego, CA, May 2003.
8. D. G. Lowe. Object recognition from local scale-invariant features. In Proc. of the International Conference on Computer Vision (ICCV), volume 2, pages 1150-1157, Washington, DC, USA, 1999. IEEE Computer Society.
9. H. Müller, T. Deselaers, T. M. Deserno, P. Clough, E. Kim, and W. R. Hersh. Overview of the ImageCLEFmed 2006 medical retrieval and medical annotation tasks. In Proc. of CLEF. Lecture Notes in Computer Science, pages 595-608, 2006.
10. P. Niyogi, F. Girosi, and T. Poggio. Incorporating prior information in machine learning by creating virtual examples. In Proc. of IEEE, volume 86, pages 2196-2207, 1998.
11. T. Ojala, M. Pietikainen, and T. Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(7):971-987, 2002.
12. A. Oliver, X. Lladó, J. Freixenet, and J. Martí. False positive reduction in mammographic mass detection using local binary patterns. In Proc. of the Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, volume 4791, pages 286-293. Springer, 2007.
13. C. Sanderson and K. K. Paliwal. Identity verification using speech and face information. Digital Signal Processing, 14(5):449-480, 2004.
14. M. Sasano. Virtual examples for text classification with support vector machines. In Proc. of the Conference on Empirical Methods in Natural Language Processing, 2003.
15. B. Scholkopf, C. Burges, and V. Vapnik. Incorporating invariances in support vector learning machines. In Proc. of Artificial Neural Network - ICANN, volume 1112, pages 47-52, 1996.
16. C. R. Shyu, C. E. Brodley, A. C. Kak, A. Kosaka, A. Aisen, and L. Broderick. Local versus global features for content-based image retrieval. In Proc. of the IEEE Workshop on Content-Based Access of Image and Video Libraries, pages 30-34, June 1998.
17. T. Tommasi, F. Orabona, and B. Caputo. CLEF2007: Image annotation task: an svmbased cue integration approach. Working Notes of the ImageCLEFmed 2007, Medical Image Annotation Task, 2007.
18. T. Tommasi, F. Orabona, and B. Caputo. Discriminative cue integration for medical image annotation. Pattern Recognition Letters, in Press, 2008.
19. D. Unay, A. Ekin, M. Cetin, R. Jasinschi, and A. Ercil. Robustness of local binary patterns in brain MR image analysis. In Proc. of the IEEE Engineering in Medicine and Biology Society, pages 2098-2101, 2007.
20. L. Zhang, S. Z. Li, X. T. Yuan, and S. M. Xiang. Real-time object classification in video surveillance based on appearance learning. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 17-22, pages 1-8, 2007.