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» Content-Based Color Image Retrieval with Relevance Feedback
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ISCIS
2009
Springer
14 years 3 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
ICIP
2010
IEEE
13 years 6 months ago
Image retrieval with feature selection and relevance feedback
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Yu Sun, Bir Bhanu
ICIP
2000
IEEE
14 years 10 months ago
Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval
Content-Based Image Retrieval (CBIR) is one of the most active research areas in recent years. Many visual feature representations have been explored and many systems built. Howev...
Qi Tian, Ying Wu, Thomas S. Huang
ICTAI
1999
IEEE
14 years 28 days ago
Spatial Color Histograms for Content-Based Image Retrieval
Color histogram is an important technique for color image database indexing and retrieving. In this paper, traditional color histogram is modified to capture spatial layout informa...
Aibing Rao, Rohini K. Srihari, Zhongfei Zhang
IDEAL
2005
Springer
14 years 2 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...