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» An adaptive graph model for automatic image annotation
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ECCV
2004
Springer
15 years 11 months ago
Interactive Image Segmentation Using an Adaptive GMMRF Model
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
Andrew Blake, Carsten Rother, M. Brown, Patrick P&...
85
Voted
SIGIR
2005
ACM
15 years 3 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
MM
2005
ACM
209views Multimedia» more  MM 2005»
15 years 3 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang
ECCV
2008
Springer
15 years 11 months ago
A New Baseline for Image Annotation
Automatically assigning keywords to images is of great interest as it allows one to index, retrieve, and understand large collections of image data. Many techniques have been propo...
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
IJCV
2010
168views more  IJCV 2010»
14 years 8 months ago
Baselines for Image Annotation
Automatically assigning keywords to images is of great interest as it allows one to retrieve, index, organize and understand large collections of image data. Many techniques have b...
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar