36 search results - page 2 / 8 » Bayesian Mixture Hierarchies for Automatic Image Annotation |
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
A semantically meaningful image hierarchy can ease the human effort in organizing thousands and millions of pictures (e.g., personal albums), and help to improve performance of en...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
MM
2004
ACM
13 years 11 months ago
2004
ACM
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
In this paper, we present a multi-label sparse coding
framework for feature extraction and classification within
the context of automatic image annotation. First, each image
is ...