96 search results - page 8 / 20 » A recursive optimal relevance feedback scheme for content ba... |
CIVR
2006
Springer
13 years 11 months ago
2006
Springer
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
ICTIR
2009
Springer
14 years 2 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...
MLDM
2001
Springer
13 years 12 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...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
ICMCS
2000
IEEE
13 years 12 months ago
2000
IEEE
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...