Abstract
Recent years, the number of multimedia contents is incereasing rapidly. The demand of proposing an effecient method for analyzing a multimedia content has becoming a hot research topic. Many proposed methods have introduced including low-level processing, structured anaysis, story-based analysis and so on. However, such methods have some unsatifactory results because of speed, time processing. In this paper, we provide a new method in analyzing the story of a multimedia content by using social network analysis techniques. The experimental results showed that our method is able to discover storytelling of the given multimedia content with good accuracy performance and processing.
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Gephi API. https://gephi.org/docs/api/.
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Prefuse API. http://prefuse.org/.
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Tran, Q.H.B., Nguyen, T.H.B., Tran, P.N., Tran, T.T.N., Tran, Q.D. (2018). Story-Based Multimedia Analysis Using Social Network Technique. In: Le, NT., van Do, T., Nguyen, N., Thi, H. (eds) Advanced Computational Methods for Knowledge Engineering. ICCSAMA 2017. Advances in Intelligent Systems and Computing, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-319-61911-8_9
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DOI: https://doi.org/10.1007/978-3-319-61911-8_9
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