Abstract
In this paper, an automatic video abstraction scheme on continuously recorded video, such as a movie video, is proposed. Conventional methods deal with the issue of video abstraction from the level of scene, while the proposed method attempts to comprehend video contents from the progress of the overall story and viewers’ semantic understanding. The generated dynamic abstraction not only provides a bird view of the original video but also helps a viewer understand the progress of the overall story. Furthermore, different types of video abstraction can be appropriately generated with respect to different user-defined duration length. Experimental results show that the proposed scheme is a feasible solution for the effective management of video repository and online review services.
This work is supported by the Research Program of Nanjing University of Posts and Telecommunications under NO. NY209018 and NO. NY209020.
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Zhu, S., Liang, Z., Liu, Y. (2010). Automatic Video Abstraction via the Progress of Story. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_28
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DOI: https://doi.org/10.1007/978-3-642-15702-8_28
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