Multimodal information fusion for video concept detection

@article{Wu2004MultimodalIF,
  title={Multimodal information fusion for video concept detection},
  author={Yi Wu and Ching-Yung Lin and Edward Y. Chang and John R. Smith},
  journal={2004 International Conference on Image Processing, 2004. ICIP '04.},
  year={2004},
  volume={4},
  pages={2391-2394 Vol. 4}
}
Video media carries multimodal information including visual, audio, textual data. Considerable research has been focused on utilizing multimodal features for better understanding of video content. However, many problems remain such as how to combine multimodal features and what are the effects of different combinations. In this paper, we propose to find the optimal combination of multimodal information in order to improve the performance of video concept detection using two methods, one is… CONTINUE READING
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Normalized classifier fusion for semantic visuil concept dctection

  • A. Natscv, J. R. Smith
  • IEEE Conf Image Pmcessiny,
  • 2003

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