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» Feature Selection for Automatic Image Annotation
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CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
15 years 2 months ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
CVPR
2009
IEEE
1599views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Multi-Label Sparse Coding for Automatic Image Annotation
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 ...
Changhu Wang (University of Science and Technology...
83
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ECIR
2008
Springer
14 years 11 months ago
Semantic Relationships in Multi-modal Graphs for Automatic Image Annotation
It is important to integrate contextual information in order to improve the inaccurate results of current approaches for automatic image annotation. Graph based representations all...
Vassilios Stathopoulos, Jana Urban, Joemon M. Jose
ECIR
2010
Springer
14 years 11 months ago
A Framework for Evaluating Automatic Image Annotation Algorithms
Several Automatic Image Annotation (AIA) algorithms have been introduced recently, which have been found to outperform previous models. However, each one of them has been evaluated...
Konstantinos Athanasakos, Vassilios Stathopoulos, ...
89
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FGR
2006
IEEE
173views Biometrics» more  FGR 2006»
15 years 3 months ago
Facial Feature Detection and Tracking with Automatic Template Selection
We describe an accurate and robust method of locating facial features. The method utilises a set of feature templates in conjunction with a shape constrained search technique. The...
David Cristinacce, Timothy F. Cootes