1 April 1996 Comparison of video shot boundary detection techniques
Author Affiliations +
J. of Electronic Imaging, 5(2), (1996). doi:10.1117/12.238675
Abstract
Many algorithms have been proposed for detecting video shot boundaries and classifying shot and shot transition types. Few published studies compare available algorithms, and those that do have looked at limited range of test material. This paper presents a comparison of several shot boundary detection and classification techniques and their variations including histograms, discrete cosine transform, motion vector, and block matching methods. The performance and ease of selecting good thresholds for these algorithms are evaluated based on a wide variety of video sequences with a good mix of transition types. Threshold selection requires a trade-off between recall and precision that must be guided by the target application.
John S. Boreczky, Lawrence A. Rowe, "Comparison of video shot boundary detection techniques," Journal of Electronic Imaging 5(2), (1 April 1996). http://dx.doi.org/10.1117/12.238675
JOURNAL ARTICLE
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KEYWORDS
Video

Detection and tracking algorithms

Cameras

Televisions

Video compression

Image processing

Colorimetry

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