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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
2008
IEEE
16 years 1 months ago
Long term learning for image retrieval over networks
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...
David Picard, Arnaud Revel, Matthieu Cord
ICIP
2004
IEEE
16 years 1 months ago
Symmetry feature in content-based image retrieval
In this paper, we first apply the theory of wallpaper groups to natural images and extract a novel feature to depict the symmetry property of natural images. The original proposed...
Jingrui He, Mingjing Li, HongJiang Zhang, Changshu...
CIVR
2008
Springer
173views Image Analysis» more  CIVR 2008»
15 years 1 months ago
Adaptive multiple feedback strategies for interactive video search
In this paper, we propose adaptive multiple feedback strategies for interactive video retrieval. We first segregate interactive feedback into 3 distinct types (recall-driven relev...
Huan-Bo Luan, Yantao Zheng, Shi-Yong Neo, Yongdong...
PRL
2008
78views more  PRL 2008»
14 years 11 months ago
Retrieving scale from quasi-stationary images
(204 words) We have developed a novel method to derive scale information from quasi-stationary images, which relies on a rotation-guided multi-scale analysis of features derived fr...
Piotr W. Mirowski, Daniel M. Tetzlaff
BIBE
2008
IEEE
109views Bioinformatics» more  BIBE 2008»
15 years 6 months ago
Retrieval and ranking of biomedical images using boosted haar features
— Retrieving similar images from large repository of heterogeneous biomedical images has been a difficult research task. In this paper, we develop a retrieval system that uses H...
Chandan K. Reddy, Fahima A. Bhuyan