157 search results - page 5 / 32 » Relevance Feedback Techniques in Interactive Content-Based I... |
ICCV
2007
IEEE
15 years 24 days ago
2007
IEEE
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
SIGMOD
2003
ACM
14 years 11 months ago
2003
ACM
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
ICMCS
2000
IEEE
14 years 3 months ago
2000
IEEE
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
ICMCS
2005
IEEE
14 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...
ICDE
2006
IEEE
15 years 6 days ago
2006
IEEE
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...