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16th International Conference on Pattern Recognition (ICPR'02) - Volume 4
Content Based Image Retrieval Using Optimum Peano Scan
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
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N. Jhanwar, S. Chaudhuri, G. Seetharaman, B. Zavidovique, "Content Based Image Retrieval Using Optimum Peano Scan," Pattern Recognition, International Conference on, vol. 4, pp. 40130, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 4, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1047416,
author = {N. Jhanwar and S. Chaudhuri and G. Seetharaman and B. Zavidovique},
title = {Content Based Image Retrieval Using Optimum Peano Scan},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2002},
issn = {1051-4651},
pages = {40130},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047416},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Content Based Image Retrieval Using Optimum Peano Scan
SN - 1051-4651
SP
EP
A1 - N. Jhanwar,
A1 - S. Chaudhuri,
A1 - G. Seetharaman,
A1 - B. Zavidovique,
PY - 2002
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
N. Jhanwar, Indian Institute of Technology - Powai
S. Chaudhuri, Indian Institute of Technology - Powai
G. Seetharaman, University of Louisiana
B. Zavidovique, University of Paris XI
We present a new technique for content based image retrieval where feature vector to be matched is very much specific to the query image. A particular Peano scan which is optimal in encoding the query image is used to convert the scanning pattern of all database images. Features are derived from these scan converted images to calculate the similarity measure. The features being query specific, a much improved performance is achieved for retrieval purpose.
Citation:
N. Jhanwar, S. Chaudhuri, G. Seetharaman, B. Zavidovique, "Content Based Image Retrieval Using Optimum Peano Scan," icpr, vol. 4, pp.40130, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 4, 2002
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