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ECIR
2009
Springer
14 years 4 months ago
Bayesian Mixture Hierarchies for Automatic Image Annotation
Previous research on automatic image annotation has shown that accurate estimates of the class conditional densities in generative models have a positive effect in annotation perf...
Vassilios Stathopoulos, Joemon M. Jose
CIKM
2009
Springer
14 years 3 days ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
MM
2003
ACM
132views Multimedia» more  MM 2003»
14 years 22 days ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
14 years 1 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...
ACL
2010
13 years 5 months ago
How Many Words Is a Picture Worth? Automatic Caption Generation for News Images
In this paper we tackle the problem of automatic caption generation for news images. Our approach leverages the vast resource of pictures available on the web and the fact that ma...
Yansong Feng, Mirella Lapata