Performance evaluation in content-based image retrieval: overview and proposals
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Features for image retrieval: an experimental comparison
Information Retrieval
Image retrieval ++--web image retrieval with an enhanced multi-modality ontology
Multimedia Tools and Applications
Overview of the MPEG-7 standard
IEEE Transactions on Circuits and Systems for Video Technology
The MPEG-7 visual standard for content description-an overview
IEEE Transactions on Circuits and Systems for Video Technology
Multimedia analysis for ecological data
Proceedings of the 20th ACM international conference on Multimedia
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In this paper we propose a semantic based image retrieval system in the domain of arctic animals. The proposed system exploits a semantic engine capable of adapting the processing steps both to the users' need and to the arctic image domain. This exibility has been achieved by three main steps: 1) arctic domain ontology modeling, 2) identification of features peculiar of the images we are dealing with and, 3)interface composition to support user interaction and search customization. The performance of the proposed system was tested using a set of 200 images depicting wild animals living in polar environment while users performed different search tasks specifying different constraints through the user interface. The results show both the accuracy of the retrieved results and the exibility to the users' constraints of the proposed system.