Eighth IEEE Workshop on Applications of Computer Vision (WACV'07) Robust Dissolve Detection Using Local Feature Tracking Austin, Texas February 21-February 22 ISBN: 0-7695-2794-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WACV.2007.55
In this paper we propose a novel dissolve detection algorithm which overcomes the defects of previously suggested algorithms. Differentiating dissolve from the effect aroused by camera motion or objects movement has long been a problem irritating the researchers and not settled thoroughly yet. In our approach, feature points are tracked so that inter-frame comparison can be executed between the exactly corresponding local features. This method reduces the false alarm caused by motions and improves the acuity of inter-frame comparison greatly. The experimental result shows the superiority of local feature comparison method to that of global feature.
Citation:
San Ko, J. G. Jeong, S. K. Kim, J. Y. Kim, "Robust Dissolve Detection Using Local Feature Tracking," wacv, pp.46, Eighth IEEE Workshop on Applications of Computer Vision (WACV'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||