466 search results - page 11 / 94 » Analysis of Relevance Feedback in Content Based Image Retrie... |
109
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TKDE
2008
14 years 10 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
96
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ICMCS
2005
IEEE
15 years 4 months ago
2005
IEEE
We propose a new “content-free” image retrieval method which attempts to exploit certain common tendencies that exist among people’s interpretation of images from user feedb...
FQAS
2009
Springer
15 years 3 months ago
2009
Springer
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This pape...
100
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ICMCS
2005
IEEE
15 years 4 months ago
2005
IEEE
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
MTA
2008
14 years 10 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...