444 search results - page 4 / 89 » Learning in Region-Based Image Retrieval |
177
Voted
IWVF
2001
Springer
15 years 9 months ago
2001
Springer
Abstract. Most CBIR systems use low-level visual features for representation and retrieval of images. Generally such methods suffer from the problems of high-dimensionality leadin...
181
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ICMCS
2006
IEEE
15 years 11 months ago
2006
IEEE
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
152
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MMM
2005
Springer
15 years 11 months ago
2005
Springer
Performance of traditional content-based image retrieval systems is far from user’s expectation due to the ‘semantic gap’ between low-level visual features and the richness ...
160
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PCM
2004
Springer
15 years 10 months ago
2004
Springer
Due to the ‘semantic gap’ between low-level visual features and the rich semantics in user’s mind, performance of traditional contentbased image retrieval systems is far from...
168
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ACCV
2006
Springer
15 years 11 months ago
2006
Springer
Relevance feedback (RF) and region-based image retrieval (RBIR) are two widely used methods to enhance the performance of contentbased image retrieval (CBIR) systems. In this paper...