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Proceedings Paper

Wipe transition detection using polynomial interpolation
Author(s): Jeho Nam; Ahmed H. Tewfik
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Paper Abstract

We present a novel technique for detecting the presence of a wipe transition in video sequences and automatically identifying its type. Our scheme focuses on analyzing the characteristics of the underlying special edit effects and estimates actual transitions by polynomial data interpolation. In particular, a B-spline polynomial curve fitting technique is used to measure 'goodness' of fitting to determine the presence of gradual transitions. Our approach is able to recover the original transition behavior of an edit effect even if it is distorted by various post- processing stages. Our wipe transition detector has been tested on various real video sequences to evaluate the performance of the proposed algorithms.

Paper Details

Date Published: 1 January 2001
PDF: 11 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410932
Show Author Affiliations
Jeho Nam, Univ. of Minnesota/Twin Cities (United States)
Ahmed H. Tewfik, Univ. of Minnesota/Twin Cities (United States)


Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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