Cross-Media Topic Detection: Approaches, Challenges, and Applications
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7867-8_45
Reference46 articles.
1. Bao, B.K., Xu, C., Min, W., Hossain, M.S.: Cross-platform emerging topic detection and elaboration from multimedia streams. ACM Trans. Multimed. Comput. Commun. Appl. (TOMM) 11(4), 1–21 (2015)
2. Camargo, J.E., González, F.A.: Multimodal latent topic analysis for image collection summarization. Inform. Sci. 328, 270–287 (2016)
3. Cao, J., Ngo, C.W., Zhang, Y.D., Li, J.T.: Tracking web video topics: Discovery, visualization, and monitoring. IEEE Trans. Circuit. Syst. Video Technol. 21(12), 1835–1846 (2011)
4. Chen, T., Liu, C., Huang, Q.: An effective multi-clue fusion approach for web video topic detection. In: Proceedings of the 20th ACM International Conference on Multimedia, pp. 781–784 (2012)
5. Chu, L., Zhang, Y., Li, G., Wang, S., Zhang, W., Huang, Q.: Effective multimodality fusion framework for cross-media topic detection. IEEE Trans. Circuit. Syst. Video Technol. 26(3), 556–569 (2014)
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