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Eighth International Conference on Information Visualisation (IV'04)
Robust Detail Recognition and Location Technique for Image Retrieval in Digital Repositories
London, England
July 14-July 16
ISBN: 0-7695-2177-0
ASCII Text
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L. Capodiferro, A. Neri, M. Nibaldi, G. Jacovitti, "Robust Detail Recognition and Location Technique for Image Retrieval in Digital Repositories," Information Visualisation, International Conference on, pp. 439-443, Eighth International Conference on Information Visualisation (IV'04), 2004.
 
 
BibTex
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@article{ 10.1109/IV.2004.1320181,
author = {L. Capodiferro and A. Neri and M. Nibaldi and G. Jacovitti},
title = {Robust Detail Recognition and Location Technique for Image Retrieval in Digital Repositories},
journal ={Information Visualisation, International Conference on},
volume = {0},
year = {2004},
issn = {1093-9547},
pages = {439-443},
doi = {http://doi.ieeecomputersociety.org/10.1109/IV.2004.1320181},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Visualisation, International Conference on
TI - Robust Detail Recognition and Location Technique for Image Retrieval in Digital Repositories
SN - 1093-9547
SP439
EP443
A1 - L. Capodiferro,
A1 - A. Neri,
A1 - M. Nibaldi,
A1 - G. Jacovitti,
PY - 2004
KW - Content based Image Recognition
KW - Pattern localization
VL - 0
JA - Information Visualisation, International Conference on
ER -
 
L. Capodiferro, Fondazione "Ugo Bordoni", Roma, Italy
A. Neri, University of "Roma TRE", Roma, Italy
M. Nibaldi, University of "Roma TRE", Roma, Italy
G. Jacovitti, University of Rome "La Sapienza", Roma, Italy
Large collections of image documents are today accessible via communication networks. Cost effective retrieval of the wanted images needs convenient browsing tools. In this contribution a technique for image selection on the basis of key details is illustrated. The technique is useful for instance for assisted queries to digital artwork collections, tele-sensing images, aerial photographs, astronomic databases, etc. The basic feature of the method is the capability of detecting and locating anyway rotated details with reasonable computational costs. In this work a criterion for proper choice of detail reference points is illustrated.
Index Terms:
Content based Image Recognition, Pattern localization
Citation:
L. Capodiferro, A. Neri, M. Nibaldi, G. Jacovitti, "Robust Detail Recognition and Location Technique for Image Retrieval in Digital Repositories," iv, pp.439-443, Eighth International Conference on Information Visualisation (IV'04), 2004
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