VISFF: An Approach for Video Summarization Based on Feature Fusion
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-84529-2_4
Reference19 articles.
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3. Kannappan, S., Liu, Y., Tiddeman, B.: Human consistency evaluation of static video summaries. Multimed. Tools Appl. 78(9), 12281–12306 (2018). https://doi.org/10.1007/s11042-018-6772-0
4. Fu, Y., Liu, H., Cheng, Y., et al.: Key-frame selection in WCE video based on shot detection. In: IEEE Intelligent Control and Automation, pp. 5030–5034 (2012)
5. Jiang, M., Sadka, A., Crookes, D.: Advances in video summarization and skimming. In: Grgic, M., Delac, K., Ghanbari, M., (eds.) Recent Advances in Multimedia Signal Processing and Communications, pp. 27–50. Springer, Berlin (2009). https://doi.org/10.1007/978-3-642-02900-4_2
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1. Multiview feature co‐factorization based dictionary selection for video summarization;IET Image Processing;2023-10-19
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