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Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images
Fort Collins, Colorado June 23-June 25
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.1999.7869151999 IEEE Computer Society Conference ...
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Qasim Iqbal, J.K. Aggarwal, "Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 1042, 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Volume 1, 1999.
 
 
BibTex
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@article{ 10.1109/CVPR.1999.786915,
author = {Qasim Iqbal and J.K. Aggarwal},
title = {Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {1999},
issn = {1063-6919},
pages = {1042},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.1999.786915},
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 - Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images
SN - 1063-6919
SP
EP
A1 - Qasim Iqbal,
A1 - J.K. Aggarwal,
PY - 1999
KW - Content-based image retrieval
KW - Perceptual grouping
KW - Bayesian framework
KW - Buildings
KW - Pattern recognition
KW - Multimedia systems
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Qasim Iqbal, University of Texas at Austin
J.K. Aggarwal, University of Texas at Austin
This paper presents an application of perceptual grouping rules for content-based image retrieval. The semantic interrelationships between different primitive image features are exploited by perceptual grouping to detect the presence of manmade structures. A methodology based on these principles in a Bayesian framework for the retrieval of building images, and the results obtained are presented. The image database consists of monocular grayscale outdoor images taken from a ground-level camera.
Index Terms:
Content-based image retrieval, Perceptual grouping, Bayesian framework, Buildings, Pattern recognition, Multimedia systems
Citation:
Qasim Iqbal, J.K. Aggarwal, "Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images," cvpr, vol. 1, pp.1042, 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Volume 1, 1999
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