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ORF-NT: An object-based image retrieval framework using neighborhood trees

Uysal, Mehmet Ali
Yarman Vural, Fatoş Tunay
This study proposes an object-based image retrieval framework, called, ORF-NT, which trains a discriminative feature set for each object class and introduces a neighborhood tree for object labelling. For this purpose, initially, a large variety of features are extracted from the regions of the pre-segmented images. These features are, then, fed to a training module to select the 'important' features, suppressing. relatively less important ones for each class.