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Volume: 18 | Article ID: art00038
Automatic grouping of semantic keywords to improve image rendering
  DOI :  10.2352/CIC.2010.18.1.art00038  Published OnlineJanuary 2010

The ultimate goal of automatic image rendering is a system that gives at least as pleasing results as a human expert using an image manipulation program. In this article we demonstrate that the exploitation of semantic image keywords is a promising approach towards this ultimate goal. We develop a keyword classification scheme specifically for the purpose of automatic image rendering. Further on, we propose a method to automatically classify keywords into these classes. We discuss the results based on experiments with a database of 40'000 images, annotated on average by five keywords each.

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Albrecht Lindner, Nicolas Bonnier, Mehmet Candemir, Sabine Süsstrunk, "Automatic grouping of semantic keywords to improve image renderingin Proc. IS&T 18th Color and Imaging Conf.,  2010,  pp 217 - 222,

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