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

Uysal M., Yarman-Vural F.

COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS, cilt.3733, ss.595-605, 2005 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 3733
  • Basım Tarihi: 2005
  • Dergi Adı: COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.595-605
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.