295 search results - page 2 / 59 » MUSE: A Content-Based Image Search and Retrieval System Usin... |
ICIP
2000
IEEE
14 years 6 months ago
2000
IEEE
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
SPIESR
1998
13 years 6 months ago
1998
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
ICCV
2007
IEEE
14 years 6 months 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...
VIP
2003
13 years 6 months ago
2003
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
ICTIR
2009
Springer
13 years 11 months ago
2009
Springer
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...