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WILF
2009
Springer

Periodic Pattern Detection for Real-Time Application

9 years 2 months ago
Periodic Pattern Detection for Real-Time Application
Digital video stabilization approaches typically degrade their performances in presence of periodic patterns. Any kind of matching between consecutive frames is not usually able to work in presence of these kind of signals: the motion estimation engine is deceived and its performances degrade abruptly. In this paper we propose a fast fuzzy classifier able to recognize periodic and aperiodic pattern in the images that takes into account the peculiarities of digital video stabilization. Finally, the proposed classifier can be used as a filtering module in a block based video stabilization approach. Key words: Video Stabilization, periodic pattern, fuzzy classifier
Giovanni Puglisi, Sebastiano Battiato
Added 27 Jul 2010
Updated 07 Apr 2013
Type Conference
Year 2009
Where WILF
Authors Giovanni Puglisi, Sebastiano Battiato
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