116 search results - page 2 / 24 » Learning Feature Weights from User Behavior in Content-Based... |
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
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 ...
IDEAL
2005
Springer
13 years 10 months ago
2005
Springer
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
MLDM
2001
Springer
13 years 9 months ago
2001
Springer
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
JMLR
2010
12 years 11 months ago
2010
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...