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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
ASCII Text
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San Ko, J. G. Jeong, S. K. Kim, J. Y. Kim, "Robust Dissolve Detection Using Local Feature Tracking," Applications of Computer Vision, IEEE Workshop on, pp. 46, Eighth IEEE Workshop on Applications of Computer Vision (WACV'07), 2007.
 
 
BibTex
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@article{ 10.1109/WACV.2007.55,
author = {San Ko and J. G. Jeong and S. K. Kim and J. Y. Kim},
title = {Robust Dissolve Detection Using Local Feature Tracking},
journal ={Applications of Computer Vision, IEEE Workshop on},
volume = {0},
year = {2007},
issn = {1550-5790},
pages = {46},
doi = {http://doi.ieeecomputersociety.org/10.1109/WACV.2007.55},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Applications of Computer Vision, IEEE Workshop on
TI - Robust Dissolve Detection Using Local Feature Tracking
SN - 1550-5790
SP
EP
A1 - San Ko,
A1 - J. G. Jeong,
A1 - S. K. Kim,
A1 - J. Y. Kim,
PY - 2007
KW - null
VL - 0
JA - Applications of Computer Vision, IEEE Workshop on
ER -
 
San Ko, Samsung Advanced Institute of Technology
J. G. Jeong, Samsung Advanced Institute of Technology
S. K. Kim, Samsung Advanced Institute of Technology
J. Y. Kim, Samsung Advanced Institute of Technology
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
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