The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Early versus late fusion in semantic video analysis
Open accessAbstract
Semantic analysis of multimodal video aims to index segments of interest at a conceptual level. In reaching this goal, it requires an analysis of several information streams. At some point in the analysis these streams need to be fused. In this paper, we consider two classes of fusion schemes, namely early fusion and late fusion. The former fuses modalities in feature space, the latter fuses modalities in semantic space. We show by experiment on 184 hours of broadcast video data and for 20 semantic concepts, that late fusion tends to give slightly better performance for most concepts. However, for those concepts where early fusion performs better the difference is more significant.
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Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Optimal multimodal fusion for multimedia data analysis
Wu, Y., Chang, E. Y., Chang, K. C.-C., & Smith, J. R. (2004) · Proceedings of the 12th annual ACM international conference on Multimedia · doi:10.1145/1027527.1027665 · Cited by 229
Cited by
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Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-009-0275-4 · Cited by 19,599
Multimodal fusion for multimedia analysis: a survey
Atrey, P. K., Hossain, M. A., El Saddik, A., & Kankanhalli, M. S. (2010) · Multimedia Systems · doi:10.1007/s00530-010-0182-0 · Cited by 1,279
A deep learning system for differential diagnosis of skin diseases
Liu, Y., Jain, A., Eng, C., Way, D. H., Lee, K., Bui, P., Kanada, K., de Oliveira Marinho, G., Gallegos, J., Gabriele, S., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0842-3 · Cited by 853
Unified Video Annotation via Multigraph Learning
Wang, M., Hua, X.-S., Hong, R., Tang, J., Qi, G.-J., & Song, Y. (2009) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2009.2017400 · Cited by 441
Verma, G. K., & Tiwary, U. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.007 · Cited by 354
Metadata
- Authors
- Snoek, C. G. M., Worring, M., & Smeulders, A. W. M.
- Venue
- Proceedings of the 13th annual ACM international conference on Multimedia
- Publisher
- ACM
- Published
- 2005-11-06
- Pages
- 399-402
- OpenAlex
- W1989085630
- Cited by
- 879
- References
- 2
- FWCI
- 15.89
- Type
- conference paper
- Language
- en
- Open access
- green
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- Snoek, C. G. M., Worring, M., & Smeulders, A. W. M. (2005). Early versus late fusion in semantic video analysis. Proceedings of the 13th annual ACM international conference on Multimedia. https://doi.org/10.1145/1101149.1101236
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