Abstract
In this paper we propose a cloud-based video editing application designated to manage abundance of video using automatic video editing and summarization algorithms. Our approach uses text processing, statistic analysis and information retrieval techniques to analyze audio transcripts of video corpus. A model approach of mashup based on keywords is proposed. A video editing testbed has been designed and implemented. Finally the video editor engine is deployed on Openstack cloud computing platform which deliver a massively scalable cloud operating system.
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References
Hua, X.-S., Zhang, H.-J.: Automatic Home Video Editing. Signals and Communication Technology, pp. 353–386. Springer, Boston (2009)
Hua, X.-S., Zhang, H.-J.: AVE - automated home video editing. In: ACM MM (2003)
Ma, Y.F., Lu, L., Zhang, H.J., Li, M.J.: A user attention model for video summarization. In: ACM MM, pp. 533–542 (2002)
Müller Arisona, S., Müller, P., Schubiger-Banz, S., Specht, M.: Computer-assisted content editing techniques for live multimedia performance. In: Adams, R., Gibson, S., Müller Arisona, S. (eds.) Transdisciplinary Digital Art. Sound, Vision and the New Screen. Communications in Computer and Information Science, vol. 7, pp. 199–212. Springer, Heidelberg (2008)
Takemae, Y., Otsuka, K., Yamato, J.: Automatic video editing system using stereo-based head tracking for multiparty conversation. In: CHI 2005, pp. 1817–1820 (2005)
Takemae, Y., Otsuka, K., Yamato, J.: Development of automatic video editing system based on stereo-based head tracking for multiparty conversations. IEEE (2005)
Mudhwuchutyula, C.L., Kankunhalli, M.S., Mulhem, P.: Content based editing of semantic video metadata. In: IEEE International Conference on Multimedia and Expo (2004)
Foote, J., Cooper, M., Girgensohn, A.: Creating music videos using automatic media analysis. In: ACM MM (2002)
Beaufays, F., Sankar, A., Williams, S., Weintraub, M.: Learning name pronunciations in automatic speech recognition systems. In: Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (2003)
Openstack: Open source software for building private and public clouds
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Outtagarts, A., Squedin, S., Martinot, O. (2014). Cloud-Based Automatic Video Editing Using Keywords. In: Obaidat, M., Filipe, J. (eds) E-Business and Telecommunications. ICETE 2012. Communications in Computer and Information Science, vol 455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44791-8_14
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DOI: https://doi.org/10.1007/978-3-662-44791-8_14
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