Multimodal preference aggregation for multimedia information retrieval

Journal of Multimedia

Volumn 4, Issue 5, 2009, Pages 321-329

  Bruno, Eric ^a   Marchand Maillet, Stéphane ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; SEMANTICS;

FLEXIBLE RETRIEVAL; FUSION ALGORITHMS; INTRINSIC PROPERTY; MULTI-MODAL INFORMATION; MULTIMEDIA CONTENT RETRIEVALS; MULTIMEDIA INFORMATION; MULTIMEDIA INFORMATION RETRIEVAL; PREFERENCE AGGREGATIONS;

IMAGE RETRIEVAL;

EID: 78651589363     PISSN: 17962048     EISSN: None     Source Type: Journal    
DOI: 10.4304/jmm.4.5.321-329     Document Type: Article

References (33)

1. E. Y. Chang, B. Li, G. Wu, and K. Go, "Statistical learning for effective visual information retrieval," in Proceedings of the IEEE International Conference on Image Processing, 2003.
2. X. Zhou and T. Huang, "Small sample learning during multimedia retrieval using biasmap," in Proceedings of the IEEE Conference on Pattern Recognition and Computer Vision, CVPR'01, vol. I, Hawaii, 2004, pp. 11-17.
3. X. Zhou, A. Garg, and T. Huang, "A discussion of nonlinear variants of biased discriminant for interactive image retrieval," in Proc. of the 3rd Conference on Image and Video Retrieval, CIVR'04, 2004, pp. 353-364.
4. R. Yan, A. Hauptmann, and R. Jin, "Negative pseudo-relevance feedback in content-based video retrieval," in Proceedings of ACM Multimedia (MM2003), Berkeley, USA, 2003.
5. J. Kittler, M. Hatef, R. Duin, and J. Matas, "On combining classifiers", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 3, pp. 226-239, 1998.
6. R. Duin, "The combining classifier: To train or not to train?" in Proceedings of the 16th International Conference on Pattern Recognition, ICPR'02, vol. II. Quebec City: IEEE Computer Socity Press, 2004, pp. 765-770.
7. Y. Wu, E. Y. Chang, K.-C. Chang, and J. Smith, "Optimal multimodal fusion for multimedia data analysis", in Proceedings of ACM Int, Conf. on Multimedia, New York, 2004.
8. W. H. Hsu and S.-F. Chang, "Generative, discriminative, and ensemble learning on multi-modal perceptual fusion toward news video story segmentation," in ICME, Taipei, Taiwan, June 2004.
9. M. Wang, X.-S. Hua, X. Yuan, Y. Song, and L.-R. Dai, "Optimizing multi-graph learning: towards a unified video annotation scheme," in MULTIMEDIA'07: Proceedings of the 15th international conference on Multimedia. New York, NY, USA: ACM, 2007, pp. 862-871.
10. T.-T. Pham, N. E. Maillot, J.-H. Lim, and J.-P. Chevallet, "Latent semantic fusion model for image retrieval and annotation," in CIKM'07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management. New York, NY, USA: ACM, 2007, pp. 439-444.
11. M. Haindl, J. Kittler, and F. Roli, "Multiple classifier systems," in Series: Lecture Notes in Computer Science, vol. 4472/2007. Springer, 2007.
12. J. R. Smith, A. Jaimes, C.-Y. Lin, M. Naphade, A. Natsev, and B. Tseng, "Interactive search fusion methods for video database retrieval," in IEEE International Conference on Image Processing (ICIP), 2003.
13. J. Yang and A. Hauptmann, "Multi-modality analysis for person type classification in news video," in Electronic Imaging'05 - Conference on Storage and Retrieval Methods and Applications for Multimedia, San Jose, USA, Jan 2005.
14. E. Chávez, G. Navarro, R. Baeza-Yates, and J. Marroquin, "Searching in metric spaces," ACM Computing Surveys, vol. 33, no. 3, pp. 273-321, Sep. 2001.
15. L. Boldareva and D. Hiemstra, "Interactive content-based retrieval using pre-computed object-object similarities," in Conference on Image and Video Retrieval, CIVR'04, Dublin, Ireland, 2004, pp. 308-316.
16. D. Heesch, A. Yavlinsky, and S. Rüger, "Nnk networks and automated annotation for browsing large image collections from the World Wide Web," in Proc ACM Int'l Conference Multimedia, 2006, pp. 220-224.
17. E. Bruno, N. Moenne-Loccoz, and S. Marchand-Maillet, "Design of multimodal dissimilarity spaces for retrieval of multimedia documents," To appear in IEEE Transaction on Pattern Analysis and Machine Intelligence, 2008.
18. E. Pekalska, R. P. W. Duin, and P. Paclík, "Prototype selection for dissimilarity-based classifiers," Pattern Recogn., vol. 39, no. 2, pp. 189-208, 2006.
19. D. Heesch and S. Rueger, "NNk networks for content-based image retrieval," in 26th European Conference on Information Retrieval, Sunderland, UK, 2004.
20. G. P. Nguyen, M. Worring, and A. W. M. Smeulders, "Similarity learning via dissimilarity space in CBIR," in MIR'06: Proceedings of the 8th ACM international workshop on Multimedia information retrieval. New York, NY, USA: ACM Press, 2006, pp. 107-116.
21. E. Pekalska, P. Paclík, and R. Duin, "A generalized kernel approach to dissimilarity-based classification," Journal of Machine Learning Research, vol. 2, pp. 175-211, December 2001.
22. Y. Freund, R. Iyer, R. E. Schapire, and Y. Singer, "An efficient boosting algorithm for combining preferences," Journal of Machine Learning Research, vol. 4, pp. 933-969, November 2003.
23. R. E. Schapire and Y. Singer, "Improved boosting algorithms using confidence-rated predictions." Journal of Machine Learning, vol. 37, no. 3, pp. 297-336, 1999.
24. J. Cheng and K. Wang, "Active learning for image retrieval with co-svm," vol. 40, no. 1, pp. 330-334, January 2007.
25. S. Hoi, R. Jin, J. Zhu, and M. Lyu, "Semi-supervised svm batch mode active learning for image retrieval," 2008, pp. 1-7.
26. R. Liu, Y. Wang, T. Baba, D. Masumoto, and S. Nagata, "Svm-based active feedback in image retrieval using clustering and nlabeled data," vol. 41, no. 8, pp. 2645-2655, August 2008.
27. C. Petersohn, "Fraunhofer HHI at TRECVID 2004: Shot boundary detection system," in TREC Video Retrieval Evaluation Online Proceedings, 2004.
28. A. F. Smeaton, P. Over, and W. Kraaij, "Evaluation campaigns and trecvid," in MIR'06: Proceedings of the 8th ACM international workshop on Multimedia information retrieval. New York, NY, USA: ACM Press, 2006, pp. 321-330.
29. A. Jain, A. Vailaya, and X. Wei, "Query by video clip," Multimedia Syst., vol. 7, no. 5, pp. 369-384, 1999.
30. D. Lowe, "Object recognition fron local scale invariant features," in Proceedings of the International Conference in Computer Vision, ICCV'99, Corfu, 1999, pp. 1150-1157.
31. P. Viola and M. Jones, "Robust real-time face detection," International Journal of Computer Vision (IJCV), vol. 57, no. 2, pp. 137-154, 2004.
32. J. Gu, L. Lu, H. Zhang, and J. Yang, "Dominant feature vectors based audio similarity measure," in PCM, no. 2, 2004, pp. 890-897.
33. N. Moënne-Loccoz, E. Bruno, and S. Marchand-Maillet, "Interactive partial matching of video sequences in large collections," in IEEE International Conference on Image Processing, Genova, Italy, 11-14 September 2005.