102 search results - page 2 / 21 » An active feedback framework for image retrieval |
MMS
2008
13 years 5 months ago
2008
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
MMM
2005
Springer
13 years 11 months ago
2005
Springer
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). However, since users are usually unwillin...
WILF
2009
Springer
13 years 9 months ago
2009
Springer
In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, w...
MM
2004
ACM
13 years 10 months ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
ICITA
2005
IEEE
13 years 11 months ago
2005
IEEE
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...