157 search results - page 9 / 32 » Relevance Feedback Techniques in Interactive Content-Based I... |
ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
The majority of today's content based image retrieval systems rely on low-level image descriptors which limit their capability to support meaningful interactions with the use...
MTA
2008
14 years 9 months ago
2008
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...
MM
2004
ACM
15 years 2 months ago
2004
ACM
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
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CIVR
2005
Springer
15 years 2 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 ...