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17th International Conference on Pattern Recognition (ICPR'04) - Volume 3
Video Sequence Matching with Spatio-Temporal Constraints
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
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Wei Ren, Sameer Singh, "Video Sequence Matching with Spatio-Temporal Constraints," Pattern Recognition, International Conference on, vol. 3, pp. 834-837, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 3, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334657,
author = {Wei Ren and Sameer Singh},
title = {Video Sequence Matching with Spatio-Temporal Constraints},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2004},
issn = {1051-4651},
pages = {834-837},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334657},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Video Sequence Matching with Spatio-Temporal Constraints
SN - 1051-4651
SP834
EP837
A1 - Wei Ren,
A1 - Sameer Singh,
PY - 2004
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Wei Ren, University of Exeter, UK
Sameer Singh, University of Exeter, UK
The main aim of this paper is to introduce a novel spatio-temporal model of video matching. This model uses information on image object spatial relationship in frames as well as transition between frames to generate a vector representing that frame. We discuss how these vectors can be generated and matched for video retrieval.
Citation:
Wei Ren, Sameer Singh, "Video Sequence Matching with Spatio-Temporal Constraints," icpr, vol. 3, pp.834-837, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 3, 2004
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