507 search results - page 20 / 102 » Textural Features and Relevance Feedback for Image Retrieval |
103
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
106
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PCM
2004
Springer
15 years 5 months ago
2004
Springer
The success of the relevance feedback search paradigm in image retrieval is influenced by the selection strategy employed by the system to choose the images presented to the user ...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
One current direction to enhance the search accuracy in visual object retrieval is to reformulate the original query through (pseudo-)relevance feedback, which augments a query wi...
135
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VLC
2008
14 years 11 months ago
2008
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
108
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CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...