65 search results - page 3 / 13 » Strategies for Positive and Negative Relevance Feedback in I... |
CVPR
2001
IEEE
14 years 8 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...
ICIAR
2007
Springer
14 years 12 days ago
2007
Springer
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
ESWA
2008
13 years 6 months ago
2008
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
PCM
2007
Springer
14 years 11 days ago
2007
Springer
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
ICPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedbac...