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3-DWT Based Motion Suppression for Video Shot Boundary Detection

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3682))

Abstract

This paper presents a motion suppression technique for video shot boundary detection based on 3D wavelet transform (3-DWT). Dramatic motion can be characterized in terms of energy and variance, and be differentiated from various video effects. Motion suppression value (MSV), which indicates intensity of motion energy, is extracted and used to suppress motion influence suffered by traditional video shot boundary detection algorithms. Unlike previous methods, our technique is robust to dramatic motion inherent in video sequence, experimental result validates our approach.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science & Technology, Beijing Jiaotong Univ., Beijing, China, 100044

    Yang Xu, Xu De, Guan Tengfei, Wu Aimin & Lang Congyan

Authors
  1. Yang Xu
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  2. Xu De
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  3. Guan Tengfei
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  4. Wu Aimin
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  5. Lang Congyan
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Xu, Y., De, X., Tengfei, G., Aimin, W., Congyan, L. (2005). 3-DWT Based Motion Suppression for Video Shot Boundary Detection. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_166

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  • DOI: https://doi.org/10.1007/11552451_166

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28895-4

  • Online ISBN: 978-3-540-31986-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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