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

Date

2005-01-01

Author

Uysal, Mehmet Ali
Yarman Vural, Fatoş Tunay

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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.

URI

https://hdl.handle.net/11511/56260

Journal

COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS

Collections

Department of Music and Fine Arts, Article

Citation Formats

M. A. Uysal and F. T. Yarman Vural, “ORF-NT: An object-based image retrieval framework using neighborhood trees,” COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS, vol. 3733, pp. 595–605, 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56260.