Fast image auto-annotation with discretized feature distance measures
Machine Graphics & Vision International Journal
Improved Resulted Word Counts Optimizer for Automatic Image Annotation Problem
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
PATSI: photo annotation through finding similar images with multivariate Gaussian models
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Improved Resulted Word Counts Optimizer for Automatic Image Annotation Problem
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
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Image auto-annotation problem becomes more and more popular research topic. Possible applications of autoannotation methods range from Internet search engines to medical analysis software. The important aspect is that efficient image auto-annotation systems can eliminate the need of annotating huge image collections manually, which is the only solution today. Most of methods available in the literature do not use supervised machine learning as the key component. Recent researches show that supervised machine learning can successfully compete with existing approaches. This paper presents a novel image autoannotation algorithm based of supervised machine learning with the use of C4.5 classifiers.