Information fusion in multimedia information retrieval

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

Volumn 4918 LNCS, Issue , 2008, Pages 147-159

  Kludas, Jana ^a   Bruno, Eric ^a   Marchand Maillet, Stéphane ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA FUSION; ELECTRIC MEASURING INSTRUMENTS; FUSION REACTIONS; INFORMATION FUSION; INFORMATION SERVICES; INFORMATION THEORY; MULTIMEDIA SYSTEMS; NUCLEAR PHYSICS; SEARCH ENGINES; SENSOR DATA FUSION; STATISTICAL METHODS; WATER METERS;

DATA ANALYSIS; HEIDELBERG (CO); IMAGE COLLECTIONS; INFLUENCE FACTORS; INTERNATIONAL (CO); MULTIMEDIA DATA; MULTIMEDIA INFORMATION RETRIEVAL (MIR); OVERALL PERFORMANCE; PERFORMANCE IMPROVEMENTS; RESEARCH COMMUNITIES; RETRIEVAL (MIR);

IMAGE FUSION;

EID: 47849118926     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-79860-6_12     Document Type: Conference Paper

References (30)

1. Benitez, A.B., Chang, S.F.: Multimedia knowledge integration, summarization and evaluation. In: Workshop on Multimedia Data Mining, pp. 23-26 (2002)
2. Ross, A., Jain, A.K.: Multimodal biometrics: An overview. In: EUSIPCO Proc. of 12th European Signal Processing Conference (EUSIPCO), pp. 1221-1224 (2004)
3. Fassinut-Mombot, B., Choquel, J.B.: A new probabilistic and entropy fusion approach for management of information sources. Information Fusion 5, 35-47 (2004)
4. Vogt, C.C., Cottrell, G.W.: Fusion via a linear combination of scores. Information Retrieval 1(3), 151-173 (1999)
5. Bruno, E., Moenne-Loccoz, N., Marchand-Maillet, S.: Design of multimodal dissimilarity spaces for retrieval of multimedia documents. IEEE Transaction on Pattern Analysis and Machine Intelligence (to appear, 2008)
6. Brown, G., Yao, X.: On the effectiveness of negative correlation learning. In: First UK Workshop on Computational Intelligence (UKCI 2001) (2001)
7. Chechik, G., Tishby, N.: Extracting relevant structures with side information. In: Advances in Neural Information Processing Systems, vol. 15 (2003)
8. Taylor, G., Kleeman, L.: Fusion of multimodal visual cues for model-based object tracking. In: Australasian Conference on Robotics and Automation (2003)
9. Barnard, K., Johnson, M.: Word sense disambiguation with pictures. Artificial Intelligence 167, 13-30 (2005)
10. Turner, K., Gosh, J.: Linear order statistics combiners for pattern classification. Combining Artificial Neural Networks, 127-162 (1999)
11. Valet, L., Bolon, P., Mauris, G.: A statistical overview of recent literature in information fusion. In: Proceedings of the Third International Conference on Information Fusion, vol. 1, pp. MOC3/22 - MOC3/29 (2000)
12. Wu, L., Cohen, P.R., Oviatt, S.L.: From members to team to committee - a robust approach to gestural and multimodal recognition. Transactions on Neural Networks 13 (2002)
13. Llinas, J., Bowman, C., Rogova, G., Steinberg, A., Waltz, E., White, F.: Revisiting the jdl data fusion model II. Information Fusion, 1218-1230 (2004)
14. Kokar, M.M., Weyman, J., Tomasik, J. A.: Formalizing classes of information fusion systems. Information Fusion 5, 189-202 (2004)
15. Poh, N., Bengio, S.: How do correlation and variance of base-experts affect fusion in biometric authentication tasks? IEEE Transactions on Acoustics, Speech, and Signal Processing 53, 4384-4396 (2005)
16. Ueda, N., Nakano, R.: Generalization error of ensemble estimators. IEEE International Conference on Neural Networks 1, 90-95 (1996)
17. Koval, O., Pun, T., Voloshynovskiy, S.: Error exponent analysis of person identification based on fusion of dependent/independent modalities. In: Proceedings of SPIE-IS&T Electronic Imaging 2007, Security, Steganography, and Watermarking of Multimedia Contents IX (2007)
18. Aarabi, P., Dasarathy, B.V.: Robust speech processing using multi-sensor, multi-source information fusion - an overview of the state of the art. Information Fusion 5, 77-80 (2004)
19. Zhao, R., Grosky, W.I.: Narrowing the semantic gap - improved text-based web document retrieval using visual features. IEEE Transactions on Multimedia 4(2), 189-200 (2002)
20. Rosen, B.E.: Ensemble learning using decorrelated neural networks. Connections Science 8, 373-384 (1996)
21. Dass, S.C., Jain, A.K., Nandakumar, K.: A principled approach to score level fusion in multimodal biometric systems. In: Proceedings of Audio- and Video-based Biometric Person Authentication (AVBPA), pp. 1049-1058 (2005)
22. Beitzel, S.M., Chowdury, A., Jensen, E.C.: Disproving the fusion hypothesis: An analysis of data fusion via effective information retrieval strategies. In: ACM symposium on Applied computing, pp. 823-827 (2003)
23. Wu, S., McClean, S.: Performance prediction of data fusion for information retrieval. Information Processing and Management 42, 899-915 (2006)
24. Squire, D.M., Müller, W., Müller, H., Raki, J.: Content-based query of image databases, inspirations from text retrieval: inverted files, frequency-based weights and relevance feedback. Pattern Recognition Letters (Selected Papers from The 11th Scandinavian Conference on Image Analysis SCIA 1999) 21(13-14), 1193-1198 (2000)
25. Joachims, T., Shawe-Taylor, J., Cristianini, N.: Composite kernels for hypertext categorization, pp. 250-257. Morgan Kaufmann, San Francisco (2001)
26. Kolenda, T., Winther, O., Hansen, L.K., Larsen, J.: Independent component analysis for understanding multimedia content. Neural Networks for Signal Processing, 757-766 (2002)
27. Westerveld, T., de Vries, A.P.: Multimedia retrieval using multiple examples. In: Enser, P.G.B., Kompatsiaris, Y., O'Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds.) CIVR 2004. LNCS, vol. 3115, Springer, Heidelberg (2004)
28. Wu, Y., Chen-Chuan Chang, K., Chang, E.Y., Smith, J.R.: Optimal multimodal fusion for multimedia data analysis. In: MULTIMEDIA 2004: Proceedings of the 12th annual ACM international conference on Multimedia, pp. 572-579. ACM Press, New York (2004)
29. Yan, R., Hauptmann, A.G.: The combination limit in multimedia retrieval. In: MULTIMEDIA 2003: Proceedings of the eleventh ACM international conference on Multimedia, pp. 339-342. ACM Press, New York (2003)
30. Li, C., Biswas, G.: Unsupervised clustering with mixed numeric and nominal data - a new similarity based agglomerative system. In: International Workshop on AI and Statistics, pp. 327-346 (1997)