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Proceedings Paper

Quantitative comparison of shot boundary detection metrics
Author(s): Ralph M. Ford
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Paper Abstract

The detection of shot boundaries in video sequences is an important task for generating indexed video databases. This paper provides a comprehensive quantitative comparison of the metrics, which have been applied to shot boundary detection. We will additionally consider several standardized statistical tests, which have not been applied to this problem, and three new metrics. A mathematical framework for quantitatively comparing metrics is supplied. Also included, are experimental results based on a video database containing 39,000 frames.

Paper Details

Date Published: 17 December 1998
PDF: 11 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333887
Show Author Affiliations
Ralph M. Ford, The Pennsylvania State Univ./Erie (United States)

Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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