Effective Multimodality Fusion Framework for Cross-Media Topic Detection

@article{Chu2016EffectiveMF,
  title={Effective Multimodality Fusion Framework for Cross-Media Topic Detection},
  author={Lingyang Chu and Yanyan Zhang and Guorong Li and Shuhui Wang and Weigang Zhang and Qingming Huang},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2016},
  volume={26},
  pages={556-569}
}
Due to the prevalence of We-Media, information is quickly published and received in various forms anywhere and anytime through the Internet. The rich cross-media information carried by the multimodal data in multiple media has a wide audience, deeply reflects the social realities, and brings about much greater social impact than any single media information. Therefore, automatically detecting topics from cross media is of great benefit for the organizations (i.e., advertising agencies and… CONTINUE READING
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Queen Mary University of London TRECVID-2013 multimedia event detection (MED) system report authors

  • Y. Fu, T. M. Hospedales, T. Xiang, D. Ellis, S. Gong
  • Proc. TRECVID, 2013.
  • 2013
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