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


Uysal M. , Yarman-Vural F.

COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS, vol.3733, pp.595-605, 2005 (Journal Indexed in SCI) identifier

  • Publication Type: Article / Article
  • Volume: 3733
  • Publication Date: 2005
  • Title of Journal : COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS
  • Page Numbers: pp.595-605

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.