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COMPSAC
2002
IEEE
15 years 2 months ago
2002
IEEE
In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...
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MMSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
ECML
2004
Springer
15 years 3 months ago
2004
Springer
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...
EVOW
2010
Springer
15 years 4 months ago
2010
Springer
This paper gives an example of evolved features that improve image retrieval performance. A content-based image retrieval system for skin lesion images is presented. The aim is to ...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...