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CIVR
2005
Springer

Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation

11 years 3 months ago
Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation
This paper describes a simple framework for automatically annotating images using non-parametric models of distributions of image features. We show that under this framework quite simple image properties such as global colour and texture distributions provide a strong basis for reliably annotating images. We report results on subsets of two photographic libraries, the Corel Photo Archive and the Getty Image Archive. We also show how the popular Earth Mover’s Distance measure can be effectively incorporated within this framework.
Alexei Yavlinsky, Edward Schofield, Stefan M. R&uu
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where CIVR
Authors Alexei Yavlinsky, Edward Schofield, Stefan M. Rüger
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