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Proceedings Paper

Comparison of video shot boundary detection techniques
Author(s): John S. Boreczky; Lawrence A. Rowe
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Paper 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.

Paper Details

Date Published: 13 March 1996
PDF: 10 pages
Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); doi: 10.1117/12.234794
Show Author Affiliations
John S. Boreczky, Univ. of California/Berkeley (United States)
Lawrence A. Rowe, Univ. of California/Berkeley (United States)


Published in SPIE Proceedings Vol. 2670:
Storage and Retrieval for Still Image and Video Databases IV
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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