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» Content-based image retrieval using wavelet-based salient po...
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IDEAL
2005
Springer
14 years 13 days 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 10 days 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
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 7 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
CIVR
2004
Springer
250views Image Analysis» more  CIVR 2004»
14 years 10 days ago
Salient Regions for Query by Image Content
Abstract. Much previous work on image retrieval has used global features such as colour and texture to describe the content of the image. However, these global features are insuffi...
Jonathon S. Hare, Paul H. Lewis
ICIP
2007
IEEE
14 years 8 months ago
Do Colour Interest Points Improve Image Retrieval?
In image retrieval scenarios, many methods use interest point detection at an early stage to find regions in which descriptors are calculated. Finding salient locations in image d...
Allan Hanbury, Julian Stöttinger, Nicu Sebe, ...