MRIM-LIG at ImageCLEF 2009: Robotvision, image annotation and retrieval tasks

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

Volumn 6242 LNCS, Issue , 2010, Pages 324-331

  Pham, Trong Ton ^a   Maisonnasse, Loïc ^b   Mulhem, Philippe ^a   Chevallet, Jean Pierre ^a   Quénot, Georges ^a   Al Batal, Rami ^a  

^a UNIV GRENOBLE ALPES   (France)

^b CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

GRENOBLE; IMAGE ANNOTATION; IMAGECLEF; LANGUAGE MODEL; POST PROCESSING;

COMPUTATIONAL LINGUISTICS; IMAGE ANALYSIS; INFORMATION RETRIEVAL;

EXPERIMENTS;

EID: 78049346457     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15751-6_42     Document Type: Conference Paper

References (15)

1. Caputo, B., Pronobis, A., Jensfelt, P.: Overview of the clef 2009 robot vision track. In: Peters, C., et al. (eds.) CLEF 2009 Workshop, Part II. LNCS, vol. 6242, Springer, Heidelberg (2010)
2. Fergus, R., Perona, P., Zisserman, A.: A sparse object category model for efficient learning and exhaustive recognition. In: Conference on Computer Vision and Pattern Recognition (2005)
3. Gao, J., Nie, J.-Y., Wu, G., Cao, G.: Dependence language model for information retrieval. In: ACM SIGIR 2004, pp. 170-177 (2004)
4. Gosselin, P., Cord, M., Philipp-Foliguet, S.: Kernels on bags of fuzzy regions for fast object retrieval. In: International Conference on Image Processing (2007)
5. Lowe, D. G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 91-110 (2004)
6. Luo, J., Pronobis, A., Caputo, B., Jensfelt, P.: Incremental learning for place recognition in dynamic environments. In: Proc. IROs 2007 (2007)
7. Maisonnasse, L., Gaussier, E., Chevalet, J. P.: Model fusion in conceptual language modeling. In: ECIR 2009, pp. 240-251 (2009)
8. Maisonnasse, L., Gaussier, E., Chevallet, J.: Revisiting the dependence language model for information retrieval. In: Poster SIGIR 2007 (2007)
9. Maisonnasse, L., Gaussier, E., Chevallet, J.: Multiplying concept sources for graph modeling. In: Peters, C., Jijkoun, V., Mandl, T., Müller, H., Oard, D. W., Peñas, A., Petras, V., Santos, D. (eds.) CLEF 2007. LNCS, vol. 5152, pp. 585-592. Springer, Heidelberg (2008) (to be published)
10. Pham, T. T., Maisonnasse, L., Mulhem, P., Gaussier, E.: Visual language model for scene recognition. In: Proceedings of Sin Fra 2009, Singapore (2009)
11. Ponte, J. M., Croft, W. B.: A language modeling approach to information retrieval. In: ACM SIGIR 1998, pp. 275-281 (1998)
12. Song, F., Croft, W. B.: General language model for information retrieval. In: CIKM 1999, pp. 316-321 (1999)
13. Srikanth, M., Srikanth, R.: Biterm language models for document retrieval. In: Research and Development in Information Retrieval, pp. 425-426 (2002)
14. Tahir, M. A., Kittler, J., Mikolajczyk, K., Yan, F.: A multiple expert approach to the class imbalance problem using inverse random under sampling. In: Multiple Classifier Systems, Reykjavik, Iceland, pp. 82-91 (2009)
15. Won, C. S., Park, D. K., Park, S.-J.: Efficient use of mpeg-7 edge histogram descriptor. ETRI Journal 24 (1) (2002)