47 search results - page 4 / 10 » Relevance Feedback for Content-Based Image Retrieval Using B... |
CISST
2004
13 years 6 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
ICIP
2008
IEEE
14 years 7 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...
ECML
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
IDEAL
2005
Springer
13 years 10 months ago
2005
Springer
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
ISCIS
2009
Springer
13 years 12 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...