Abstract
Role of video in Ubiquitous environment is growing. This paper presents a shot boundary detection method based on the global decision tree that allows for extraction of boundaries of high variations occurring due to camera breaks from frame difference values. For a start, difference values between frames are calculated through local X 2-histogram and normalization. Next, the distances between difference values are calculated through normalization. After the global threshold distance is computed based on the distances between the difference values calculated, a comparison between the distance value for two adjacent frames and the global threshold distance is performed to detect shot boundaries.
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Seong-Yoon, S., Cheng, G., Seong-Eun, B., Park, SJ., Jung-Hoon, S., Yang-Won, R. (2008). Shot Boundary Detection Using a Global Decision Tree in Ubiquitous Environment. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2008. ICCSA 2008. Lecture Notes in Computer Science, vol 5073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69848-7_32
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DOI: https://doi.org/10.1007/978-3-540-69848-7_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69840-1
Online ISBN: 978-3-540-69848-7
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