Automated Video Mashups: Research and Challenges

Author:

Saini Mukesh Kumar,Ooi Wei Tsang

Publisher

Springer International Publishing

Reference43 articles.

1. Nakano, T., Murofushi, S., Goto, M., Morishima, S.: Dancereproducer: an automatic mashup music video generation system by reusing dance video clips on the web. In: Sound and Music Computing Conference (SMC), pp. 183–189 (2011)

2. Fu, Y., Guo, Y., Zhu, Y., Liu, F., Song, C., Zhou, Z.H.: Multi-view video summarization. IEEE Trans. Multimedia (TOMM) 12(7), 717–729 (2010)

3. Pritch, Y., Ratovitch, S., Hende, A., Peleg, S.: Clustered synopsis of surveillance video. In: IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 195–200. IEEE (2009)

4. Wang, X., Hirayama, T., Mase, K.: Viewpoint sequence recommendation based on contextual information for multiview video. IEEE Multimedia 22(4), 40–50 (2015)

5. Saini, M.K., Gadde, R., Yan, S., Ooi, W.T.: Movimash: online mobile video mashup. In: ACM International Conference on Multimedia (MM), pp. 139–148. ACM (2012)

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