Abstract
A novel and expandable video summarization model called EDU is proposed. The model starts from video entities, gets utilities after descriptions, and finally generates video summarization according to the utilities. As a general expandable model, EDU has a description scheme to save the preprocessed information, and a utility function based on the descriptions. The concepts and structures of EDU model are described in detail, and a method of news story summarization based on this model is also proposed. The experiment proves the effectiveness of the method.
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© 2004 Springer-Verlag Berlin Heidelberg
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Xie, YX., Luan, XD., Lao, SY., Wu, LD., Xiao, P., Wen, J. (2004). EDU: A Model of Video Summarization. In: Enser, P., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds) Image and Video Retrieval. CIVR 2004. Lecture Notes in Computer Science, vol 3115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27814-6_16
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DOI: https://doi.org/10.1007/978-3-540-27814-6_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22539-3
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