A content-based image retrieval system using visual attention Görsel dikkat kullanarak geliştirilen i̇çerik tabanli bir görüntü erişim sistemi

Date

2010-12-01

Author

Özyer, Gülşah Tümüklü
Yarman Vural, Fatoş Tunay

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Semantic gap, difference between visual features and semantic annotations, is an important problem of Content-Based Image Retrieval (CBIR) systems. In this study, a new Content-Based Image Retrieval system is proposed by using Visual Attention which is a part of human visual system. In the proposed work, the region of interests are extracted by using Itti-Koch visual attention model. The attention values, obtained from the saliency maps are used to define a new similarity matching method. Successful results are obtained compared to traditional region-based retrieval systems. ©2010 IEEE.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651446243&origin=inward
https://hdl.handle.net/11511/107323

DOI

https://doi.org/10.1109/siu.2010.5652263

Conference Name

18th IEEE Signal Processing and Communications Applications Conference, SIU 2010

Collections

Department of Computer Engineering, Conference / Seminar

Citation Formats

G. T. Özyer and F. T. Yarman Vural, “A content-based image retrieval system using visual attention Görsel dikkat kullanarak geliştirilen i̇çerik tabanli bir görüntü erişim sistemi,” presented at the 18th IEEE Signal Processing and Communications Applications Conference, SIU 2010, Diyarbakır, Türkiye, 2010, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651446243&origin=inward.