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Normalized Cut Based Coherence Measure Construction for Scene Segmentation

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Advances in Multimedia Information Processing - PCM 2009 (PCM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5879))

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Abstract

Video scene segmentation plays an important role in video structure analysis. In this paper, we propose a novel coherence signal construction method for scene segmentation based on normalized cut. The normalized cut criterion simultaneously emphasizes the homogeneity between the shots in the same scene and inhomogeneity between the shots in different scenes, hence, the signal constructed based on this criterion well reflects the shot content coherence. Experimental results on different genres of practical video have shown that our coherence signal performs better on scene segmentation than the backward shot coherence signal.

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© 2009 Springer-Verlag Berlin Heidelberg

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Zhang, X., Zeng, X., Hu, W., Li, W. (2009). Normalized Cut Based Coherence Measure Construction for Scene Segmentation. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_107

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_107

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10466-4

  • Online ISBN: 978-3-642-10467-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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