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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Integration Frameworks for Large Scale Cognitive Vision Systems - An Evaluative Study
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
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S. Wrede, C. Bauckhage, G. Sagerer, W. Ponweiser, M. Vincze, "Integration Frameworks for Large Scale Cognitive Vision Systems - An Evaluative Study," Pattern Recognition, International Conference on, vol. 1, pp. 761-764, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334307,
author = {S. Wrede and C. Bauckhage and G. Sagerer and W. Ponweiser and M. Vincze},
title = {Integration Frameworks for Large Scale Cognitive Vision Systems - An Evaluative Study},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2004},
issn = {1051-4651},
pages = {761-764},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334307},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Integration Frameworks for Large Scale Cognitive Vision Systems - An Evaluative Study
SN - 1051-4651
SP761
EP764
A1 - S. Wrede,
A1 - C. Bauckhage,
A1 - G. Sagerer,
A1 - W. Ponweiser,
A1 - M. Vincze,
PY - 2004
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
S. Wrede, Bielefeld University, Germany
C. Bauckhage, Bielefeld University, Germany
G. Sagerer, Bielefeld University, Germany
W. Ponweiser, Vienna University of Technology, ACIN, Austria
M. Vincze, Vienna University of Technology, ACIN, Austria
Owing to the ever growing complexity of present day computer vision systems, system architecture has become an emerging topic in vision research. Systems that integrate numerous modules and algorithms of different I/O and time scale behavior require sound and reliable concepts for interprocess communication. Consequently, topics and methods known from software and systems engineering are becoming increasingly important. Especially framework technologies for system integration are required. This contribution results from a cooperation between two multinational projects on cognitive vision. It discusses functional and non-functional requirements in cognitive vision and compares and assesses existing solutions.
Citation:
S. Wrede, C. Bauckhage, G. Sagerer, W. Ponweiser, M. Vincze, "Integration Frameworks for Large Scale Cognitive Vision Systems - An Evaluative Study," icpr, vol. 1, pp.761-764, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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