Abstract
In this paper we propose a novel feature extracting method based on spatiotemporal slice analyzing. To date, video features are focused on the character of every single video frame. With our method, the video content is no longer represented with every single frame. The temporal variation of visual information is taken as an important feature of video in our method. We examined this kind of feature with experiments in this paper. The experiment results show that the proposed feature is effective and robust for variant video content and format.
This work was supported by Beijing Science and Technology Planning Program of China (D0106008040291), and the Key Project of International Science and Technology Cooperation (2005DFA11060).
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© 2006 Springer-Verlag Berlin Heidelberg
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Pan, X., Li, J., Ba, S., Zhang, Y., Tang, S. (2006). Visual Features Extraction Through Spatiotemporal Slice Analysis. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69429-8_31
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DOI: https://doi.org/10.1007/978-3-540-69429-8_31
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