362 search results - page 33 / 73 » The Meaning of an Image in Content-Based Image Retrieval |
119
Voted
ICMCS
2000
IEEE
15 years 4 months ago
2000
IEEE
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
101
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ISCIS
2009
Springer
15 years 7 months ago
2009
Springer
— 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...
135
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CIVR
2005
Springer
15 years 6 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
ICIP
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...
107
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ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Feature histograms based on the evaluation of Haar integrals with nonlinear kernel functions were used successfully for the purpose of invariant content based image retrieval. In ...