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Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012) pp 353–363Cite as

Video Shot Detection Using Cumulative Colour Histogram

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 222))

Abstract

The shot boundary detection is the fundamental step in video indexing and retrieval. In this paper a new method for video shot boundary detection based on slope and y-intercept parameters of the straight line fitted to the cumulative plot of color histogram is proposed. These feature vectors are extracted from every video frames and the frame dissimilarity values are compared against a threshold to identify the cuts and fades present in the video sequence. Experiments have been conducted on TRECVID video database to evaluate the effectiveness of the proposed model. A comparative analysis with other models is also provided to reveal the superiority of the proposed model for shot detection.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Mangalore University, Konaje, Mangalore, Karnataka, India

    B. H. Shekar & K. Raghurama Holla

  2. Department of Computer Science and Engineering, P. A. College of Engineering, Mangalore, Karnataka, India

    M. Sharmila Kumari

Authors
  1. B. H. Shekar
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  2. K. Raghurama Holla
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  3. M. Sharmila Kumari
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Corresponding author

Correspondence to B. H. Shekar .

Editor information

Editors and Affiliations

  1. , Computer Science & Engineering, Dr. N.G.P. Institute of Technology, Kalapatti Road, Coimbatore, 641048, Tamil Nadu, India

    Mohan S

  2. , Electronics & Communication Engineering, Dr. N.G.P. Institute of Technology, Kalapatti Road, Coimbatore, 641048, Tamil Nadu, India

    S Suresh Kumar

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© 2013 Springer India

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Shekar, B.H., Raghurama Holla, K., Sharmila Kumari, M. (2013). Video Shot Detection Using Cumulative Colour Histogram . In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 222. Springer, India. https://doi.org/10.1007/978-81-322-1000-9_34

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  • DOI: https://doi.org/10.1007/978-81-322-1000-9_34

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0999-7

  • Online ISBN: 978-81-322-1000-9

  • eBook Packages: EngineeringEngineering (R0)

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