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.
Albrecht Lindner, Nicolas Bonnier, Mehmet Candemir, Sabine Süsstrunk, "Automatic grouping of semantic keywords to improve image rendering" in Proc. IS&T 18th Color and Imaging Conf., 2010, pp 217 - 222, https://doi.org/10.2352/CIC.2010.18.1.art00038