Abstract
This paper mainly analysis features of printing video. This kind of video almost has the common features that uneven illumination and camera with shake and so on. According to this features, hue histogram based-on HSV color model is used for detecting the cut shots of printing machinery video. And, an improved double-threshold comparison method based-on hue histogram based-on HSV color model is proposed and used for detecting gradual shots. This new method improves the accuracy by detecting the false start position of gradual shot. At the end of this paper, the results of experiments are given out, which indicate that the shot boundary detection algorithms proposed in this paper are efficient and with higher accuracy when it used for detecting the shot boundaries of printing video.
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© 2011 Springer-Verlag Berlin Heidelberg
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You, FC., Chen, YJ. (2011). Research on Printing Video Shot Boundary Detection. In: Zeng, D. (eds) Future Intelligent Information Systems. Lecture Notes in Electrical Engineering, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19706-2_76
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DOI: https://doi.org/10.1007/978-3-642-19706-2_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19705-5
Online ISBN: 978-3-642-19706-2
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