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2006 IEEE International Conference on Multimedia and Expo
Tensor-Based Multiple Object Trajectory Indexing and Retrieval
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
ASCII Text
x 
 
Xiang Ma, Faisal Bashir, Ashfaq Khokhar, Dan Schonfeld, "Tensor-Based Multiple Object Trajectory Indexing and Retrieval," Multimedia and Expo, IEEE International Conference on, pp. 341-344, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2006.262468,
author = {Xiang Ma and Faisal Bashir and Ashfaq Khokhar and Dan Schonfeld},
title = {Tensor-Based Multiple Object Trajectory Indexing and Retrieval},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {341-344},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262468},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - Tensor-Based Multiple Object Trajectory Indexing and Retrieval
SN - 1-4244-0366-7
SP341
EP344
A1 - Xiang Ma,
A1 - Faisal Bashir,
A1 - Ashfaq Khokhar,
A1 - Dan Schonfeld,
PY - 2006
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Xiang Ma, University of Illinois at Chicago, Department of Electrical and Computer Engineering, 815 S.Morgan St.,Chicago, IL, 60607. mxiang@ece.uic.edu
Faisal Bashir, University of Illinois at Chicago, Department of Electrical and Computer Engineering, 815 S.Morgan St.,Chicago, IL, 60607. fbashir@ece.uic.edu
Ashfaq Khokhar, University of Illinois at Chicago, Department of Electrical and Computer Engineering, 815 S.Morgan St.,Chicago, IL, 60607. ashfaq@ece.uic.edu
Dan Schonfeld, University of Illinois at Chicago, Department of Electrical and Computer Engineering, 815 S.Morgan St.,Chicago, IL, 60607. ds@ece.uic.edu
This paper presents novel tensor-based object trajectory modelling techniques for simultaneous representation of multiple objects motion trajectories in a content based indexing and retrieval framework. Three different tensor decomposition techniques-PARAFAC, HOSVD and Multiple-SVD-are explored to achieve this goal with the aim of using a minimum set of coefficients and data-dependant bases. These tensor de-compositions have been applied to represent full as well as segmented trajectories. Our simulation results show that the PARAFAC-based representation provides higher compression ratio, superior precision-recallmetrics, and smaller query processing time compared to the other tensor-based approaches.
Citation:
Xiang Ma, Faisal Bashir, Ashfaq Khokhar, Dan Schonfeld, "Tensor-Based Multiple Object Trajectory Indexing and Retrieval," icme, pp.341-344, 2006 IEEE International Conference on Multimedia and Expo, 2006
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