71 search results - page 5 / 15 » Integrating Relevance Feedback in Boosting for Content-Based... |
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
In the current state-of-the-art in multimedia content analysis (MCA), the fundamental techniques are typically derived from core pattern recognition and computer vision algorithms...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...
CISST
2004
13 years 6 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
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...
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...