Image retrieval and annotation using maximum entropy

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4730 LNCS, Issue , 2007, Pages 725-734

  Deselaers, Thomas ^a   Weyand, Tobias ^a   Ney, Hermann ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE ACQUISITION; IMAGE CLASSIFICATION; MATHEMATICAL MODELS; MEDICAL IMAGING;

AUTOMATIC IMAGE ANNOTATION; MAXIMUM ENTROPY; OBJECT ANNOTATION;

CONTENT BASED RETRIEVAL;

EID: 38049113310     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74999-8_91     Document Type: Conference Paper

References (18)

1. Berger, A.L., Della Pietra, S.A., Della Pietra, V.J.: A maximum entropy approach to natural language processing. Computational Linguistics 22, 39-72 (1996)
2. Bender, O., Och, F., Ney, H.: Maximum entropy models for named entity recognition. In: 7th Conference on Computational Natural Language Learning, Edmonton, Canada, pp. 148-152 (2003)
3. Mauser, A., Bezrukov, I., Deselaers, T., Keysers, D.: Predicting customer behavior using naive bayes and maximum entropy - winning the data-mining-cup 2004. In: Informatiktage 2005 der Gesellschaft für Informatik, St. Augustin, Germany (Inpress, 2005)
4. Keysers, D., Och, F.J., Ney, H.: Maximum entropy and Gaussian models for image object recognition. In: Pattern Recognition, 24th DAGM Symposium, Zürich, Switzerland, pp. 498-506 (2002)
5. Lazebnik, S., Schmid, C., Ponce, J.: A maximum entropy framework for part-based texture and object recognition. In: IEEE International Conference on Computer Vision (ICCV 05), Bejing, China, vol. 1, pp. 832-838 (2005)
6. Müller, H., Deselaers, T., Lehmann, T., Clough, P., Hersh, W.: Overview of the imageclefmed, medical retrieval and annotation tasks. In: Evaluation of Multilingual and Multi-modal Information Retrieval - Seventh Workshop of the Cross-Language Evaluation Forum, CLEF 2006. LNCS, Alicante, Spain (to appear, 2007)
7. Clough, P., Grubinger, M., Deselaers, T., Hanbury, A., Müller, H.: Overview of the imageclef, photographic retrieval and object annotation tasks. In: Evaluation of Multilingual and Multi-modal Information Retrieval - Seventh Workshop of the Cross-Language Evaluation Forum, CLEF 2006. LNCS, Alicante, Spain (to appear, 2007)
8. Keysers, D., Och, F.J., Ney, H.: Efficient maximum entropy training for statistical object recognition. In: Informatiktage 2002 der Gesellschaft für Informatik, Bad Schussenried, Germany pp. 342-345 (2002)
9. Grubinger, M., Clough, P., Müller, H., Deselaers, T.: The iapr benchmark: A new evaluation resource for visual information systems. In: LREC 06 OntoImage 2006: Language Resources for Content-Based Image Retrieval, Genoa, Italy (in press, 2006)
10. Deselaers, T., Keysers, D., Ney, H.: Features for image retrieval - a quantitative comparison. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds.) Pattern Recognition. LNCS, vol. 3175, pp. 228-236. Springer, Heidelberg (2004)
11. Keysers, D., Gollan, C., Ney, H.: Local context in non-linear deformation models for handwritten character recognition. In: International Conference on Pattern Recognition, Cambridge, UK, vol. 4, pp. 511-514 (2004)
12. Keysers, D., Gollan, C., Ney, H.: Classification of medical images using non-linear distortion models. In: Proc. BVM 2004, Bildverarbeitung für die Medizin, Berlin, Germany, pp. 366-370 (2004)
13. Clough, P., Mueller, H., Deselaers, T., Grubinger, M., Lehmann, T., Jensen, J., Hersh, W.: The clef 2005 cross-language image retrieval track. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 535-557. Springer, Heidelberg (2006)
14. Deselaers, T., Keysers, D., Ney, H.: Discriminative training for object recognition using image patches. In: IEEE Conference on Computer Vision and Pattern Recognition, San Diego, CA, vol. 2, pp. 157-162 (2005)
15. Deselaers, T., Hegerath, A., Keysers, D., Ney, H.: Sparse patch-histograms for object classification in cluttered images. In: Franke, K., Müller, K.-R., Nickolay, B., Schäfer, R. (eds.) Pattern Recognition. LNCS, vol. 4174, pp. 202-211. Springer, Heidelberg (2006)
16. Dorkó, G., Schmid, C.: Object class recognition using discriminative local features. IEEE Transactions on Pattern Analysis and Machine Intelligence (submitted 2004)
17. Deselaers, T., Weyand, T., Keysers, D., Macherey, W., Ney, H.: FIRE in Image-CLEF 2005: Combining content-based image retrieval with textual information retrieval. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, Springer, Heidelberg (2006)
18. Hegerath, A., Deselaers, T., Ney, H.: Patch-based object recognition using discriminatively trained gaussian mixtures. In: 17th British Machine Vision Conference (BMVC06), Edinburgh, UK, vol. 2, pp. 519-528 (2006)