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DAGM
2006
Springer

Feature Selection for Automatic Image Annotation

10 years 10 months ago
Feature Selection for Automatic Image Annotation
Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we present a novel image annotation scheme which is fast and effective and scales well to a large number of keywords. We first provide a feature weighting scheme suitable for image annotation, and then an annotation model based on the one-class support vector machine. We show that the system works well even with a small number of visual features. We perform experiments using the Corel Image Collection and compare the results with a wellestablished image annotation system.
Lokesh Setia, Hans Burkhardt
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DAGM
Authors Lokesh Setia, Hans Burkhardt
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