A content-based image retrieval system using visual attention Görsel dikkat kullanarak geliştirilen i̇çerik tabanli bir görüntü erişim sistemi
18th IEEE Signal Processing and Communications Applications Conference, SIU 2010, Diyarbakır, Türkiye, 22 - 24 Nisan 2010, ss.399-402, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu.2010.5652263
- Basıldığı Şehir: Diyarbakır
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.399-402
- Orta Doğu Teknik Üniversitesi Adresli: Evet
Özet
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.