The influence of the feature vector content on the CBIR system efficiency

The influence of the feature vector (FV) content on the CBIR (content-based image retrieval) system efficiency was considered. By using two different FVs and applying three different learning methods, it was shown that the efficiency of retrieving depends on both the FV content and the learning meth...

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Bibliographic Details
Main Authors: Kojic, Nenad S., Zajic, Goran J., Cabarkapa, Slobodan K., Pavlovic, Milan J., Radosavljevic, Vladan B., Reljin, Branimir D.
Format: Conference Proceeding
Language:English
Subjects:
CBIR
Content based retrieval
Feature vector
Image retrieval
Learning systems
Neural network
SVM
Online Access:Request full text
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Summary:The influence of the feature vector (FV) content on the CBIR (content-based image retrieval) system efficiency was considered. By using two different FVs and applying three different learning methods, it was shown that the efficiency of retrieving depends on both the FV content and the learning method, independently.
DOI:10.1109/TELSKS.2009.5339419