Fast image auto-annotation with discretized feature distance measures

Authors:
Halina Kwasnicka;Mariusz Paradowski
Affiliations:
Institute of Applied Informatics, Wroclaw University of Technology;Institute of Applied Informatics, Wroclaw University of Technology
Venue:
Machine Graphics & Vision International Journal
Year:
2006

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Abstract

A new model for the image auto-annotation task is presented. The model can be classified as a fast image auto-annotation one. The main idea behind the model is to avoid various problems with feature space clustering. Both the image segmentation and the auto-annotation process do not use any clustering algorithms. The method presented here simulates continuous feature space analysis with very dense discretization. The paper presents the new approach and discusses the results achieved with it.