507 search results - page 30 / 102 » Textural Features and Relevance Feedback for Image Retrieval |
118
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TKDE
2008
14 years 11 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
138
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JDCTA
2010
14 years 6 months ago
2010
Content based image retrieval (CBIR) has been one of the most important research areas in computer science for the last decade. A retrieval method which combines color and texture...
104
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ICIP
2006
IEEE
16 years 1 months ago
2006
IEEE
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
CIVR
2007
Springer
15 years 6 months ago
2007
Springer
CIVR
2006
Springer
15 years 3 months ago
2006
Springer
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...