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» Semantic based image retrieval: a probabilistic approach
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ICASSP
2007
IEEE
15 years 4 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
ICIP
2003
IEEE
15 years 11 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth
PR
2006
119views more  PR 2006»
14 years 10 months ago
Performance evaluation and optimization for content-based image retrieval
Performance evaluation of content-based image retrieval (CBIR) systems is an important but still unsolved problem. The reason for its importance is that only performance evaluatio...
Julia Vogel, Bernt Schiele
ECML
2004
Springer
15 years 3 months ago
Exploiting Unlabeled Data in Content-Based Image Retrieval
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
DAGM
2010
Springer
14 years 10 months ago
An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval
Content-based image retrieval requires a natural image (e.g, a photo) as query, but the absence of such a query image is usually the reason for a search. An easy way to express the...
Jose M. Saavedra, Benjamin Bustos