loading...
Detection of Gradual Transitions through Temporal Slice Analysis
Fort Collins, Colorado June 23-June 25
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.1999.7869141999 IEEE Computer Society Conference ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
C.W. Ngo, T.C. Pong, R.T. Chin, "Detection of Gradual Transitions through Temporal Slice Analysis," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 1036, 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Volume 1, 1999.
 
 
BibTex
x
 
@article{ 10.1109/CVPR.1999.786914,
author = {C.W. Ngo and T.C. Pong and R.T. Chin},
title = {Detection of Gradual Transitions through Temporal Slice Analysis},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {1999},
issn = {1063-6919},
pages = {1036},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.1999.786914},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Detection of Gradual Transitions through Temporal Slice Analysis
SN - 1063-6919
SP
EP
A1 - C.W. Ngo,
A1 - T.C. Pong,
A1 - R.T. Chin,
PY - 1999
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
C.W. Ngo, Hong Kong University of Science & Technology
T.C. Pong, Hong Kong University of Science & Technology
R.T. Chin, Hong Kong University of Science & Technology
In this paper, we present approaches for detecting camera cuts, wipes and dissolves based on the analysis of spatio-temporal slices obtained from videos. These slices are composed of spatially and temporally coherent regions which can be perceived as shots. In the proposed methods, camera breaks are located by performing color-texture segmentation and statistical analysis on these video slices. In addition to detecting camera breaks, our methods can classify the detected breaks as camera cuts, wipes and dissolves in an efficient manner.
Citation:
C.W. Ngo, T.C. Pong, R.T. Chin, "Detection of Gradual Transitions through Temporal Slice Analysis," cvpr, vol. 1, pp.1036, 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Volume 1, 1999
Usage of this product signifies your acceptance of the Terms of Use.