Abstract
Tools for detecting scene-changes in digital video are discussed in this paper. We describe tools useful for raw video-data as well as for MPEG-2 compressed bit-streams. Our approach for finding shot-boundaries in raw-data is based on comparisons of color histograms. We provide a comparison of several histogram-similarity measures that have been proposed by other researchers. We also propose the use of the cosine measure which outperforms the other measures discussed here. An algorithm for detecting shot boundaries in MPEG-2 compressed sequences is also described. It extends the work presented in [1] by processing P-frames and B-frames in addition to I-frames.
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© 1998 Springer-Verlag London Limited
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Cabedo, X.U., Bhattacharjee, S.K. (1998). Shot Detection Tools In Digital Video. In: Marshall, S., Harvey, N.R., Shah, D. (eds) Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer, London. https://doi.org/10.1007/978-1-4471-1597-7_36
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DOI: https://doi.org/10.1007/978-1-4471-1597-7_36
Publisher Name: Springer, London
Print ISBN: 978-3-540-76258-4
Online ISBN: 978-1-4471-1597-7
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