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

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Uysal M., Yarman-Vural F.

COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS, vol.3733, pp.595-605, 2005 (SCI-Expanded)

• Publication Type: Article / Article
• Volume: 3733
• Publication Date: 2005
• Journal Name: COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED)
• Page Numbers: pp.595-605
• Middle East Technical University Affiliated: Yes

Abstract

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.