Abstract
Automatic video indexing has mainly involved the partitioning of video into separate scenes and the manual selection of a key frame to represent each scene. We present some techniques for automatic selection of key frames alter video partitioning. The first uses the statistical distribution of pixels in the frames, and the other makes a spatio-temporal consideration of the primary features in the scene using a relevance and persistence criteria.
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© 1995 Springer-Verlag Berlin Heidelberg
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Adjeroh, D.A., Lee, M.C. (1995). Mechanisms for automatic extraction of primary features for video indexing. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_141
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DOI: https://doi.org/10.1007/3-540-60697-1_141
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