Abstract
In the present paper the problem of video segmentation for indexing and retrieval in multimedia databases is addressed. This work proposes a statistically based new algorithm to detect cuts between two shots in a video sequence. Such algorithm is data driven, since no a priori knowledge about the shots is available. A mathematical model is formulated for detecting fades, dissolves and mattes. All the algorithms are inserted into a global framework, in order to generate a low level parsing and segmentation of video streams.
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© 1995 Springer-Verlag Berlin Heidelberg
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Corridoni, J.M., Del Bimbo, A. (1995). Automatic video segmentation through editing analysis. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_255
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DOI: https://doi.org/10.1007/3-540-60298-4_255
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