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Research Article
Mining for video production invariants to measure style similarity
Article first published online: 2 JUN 2006
DOI: 10.1002/int.20158
Copyright © 2006 Wiley Periodicals, Inc.
1098-111X/asset/cover.gif?v=1&s=7f7c12f2c86265974044b2b3f9936860ffc468a0 "International Journal of Intelligent Systems")
Additional Information
How to Cite
Haidar, S., Joly, P. and Chebaro, B. (2006), Mining for video production invariants to measure style similarity. Int. J. Intell. Syst., 21: 747–763. doi: 10.1002/int.20158
Publication History
- Issue published online: 2 JUN 2006
- Article first published online: 2 JUN 2006
- Abstract
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Abstract
This article focuses on video document comparison using audiovisual production invariants (API). API are characterized by invariant segments obtained on a set of low-level features. We propose an algorithm to detect production invariants throughout a collection of audiovisual documents. The algorithm runs on low-level features, considered as time series, and extracts invariant segments using a one-dimensional morphological envelop comparison. Then, based on the extracted results, we define a style similarity measure between two video documents. A derivative pseudo distance is also proposed. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 747–763, 2006.