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Video shot characterization

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Abstract.

This paper presents a practical approach to detecting shot cuts and extracting keyframes from video sequences. Shot cut detection has two stages - global motion compensation, followed by an adaptive thresholding algorithm. The motion information is further utilized to extract representative keyframes. Special consideration has been given to achieving real-time performance on a regular PC, which led to a motion estimation algorithm of linear complexity.

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Author information

Authors and Affiliations

  1. Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3000, Leuven, Belgium

    Mihai Osian & Luc Van Gool

  2. Institute of Communication Technology, Computer Vision Laboratory, ETH, Gloriastrasse 35, 8092, Zürich, Switzerland

    Luc Van Gool

  3. Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3000, Leuven, Belgium

    Luc Van Gool

Authors
  1. Mihai Osian
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  2. Luc Van Gool
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Corresponding author

Correspondence to Mihai Osian.

Additional information

Received: 1 September 2003, Accepted: 12 March 2004, Published online: 8 June 2004

Correspondence to: Mihai Osian

Research supported by the EC project VIBES

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Osian, M., Van Gool, L. Video shot characterization. Machine Vision and Applications 15, 172–177 (2004). https://doi.org/10.1007/s00138-004-0141-x

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  • DOI: https://doi.org/10.1007/s00138-004-0141-x

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