Video shot characterization

Authors:
Mihai Osian;Luc Van Gool
Affiliations:
Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3000 Leuven, Belgium;Katholieke Universiteit Leuven, Belgium and Institute of Communication Technology, Computer Vision Laboratory, Zürich, Switzerland
Venue:
Machine Vision and Applications
Year:
2004

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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.