Abstract
In this decade, the number of movies is increasing rapidly. Many studies have been proposed to assist users in movie understanding. In which, these methods are taken into account movie content analysis using social network for discovering relationships among characters and so on. However, these methods have shown some unsatisfactorily in dynamic changing of multimedia contents such as the character’s relationships over time. For overcoming this issue, we proposed a novel method for extracting dynamic character network from a movie.
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Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2014R1A2A2A05007154).
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tran, Q.D., Hwang, D., Lee, OJ., Jung, J.J. (2017). A Novel Method for Extracting Dynamic Character Network from Movie. In: Jung, J., Kim, P. (eds) Big Data Technologies and Applications. BDTA 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-319-58967-1_6
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DOI: https://doi.org/10.1007/978-3-319-58967-1_6
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