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IDEAL
2005
Springer
14 years 1 months ago
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhard...
CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
14 years 1 months ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
VIP
2003
13 years 9 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
ISNN
2005
Springer
14 years 1 months ago
Content Based Retrieval and Classification of Cultural Relic Images
In this paper we present a novel system for content-based retrieval and classification of cultural relic images. First, the images are normalized to achieve rotation, translation a...
Na Wei, M. Emre Celebi, Guohua Geng
CVPR
2009
IEEE
15 years 2 months ago
Localized Content-Based Image Retrieval Through Evidence Region Identification
Over the past decade, multiple-instance learning (MIL) has been successfully utilized to model the localized content-based image retrieval (CBIR) problem, in which a bag corresp...
Wu-Jun Li (Hong Kong University of Science and Tec...