Automatic grouping of semantic keywords to improve image rendering

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 clas- sification 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.


Published in:
IS&T/SID 18th Color and Imaging Conference, 217-222
Presented at:
IS&T/SID 18th Color and Imaging Conference (CIC), San Antonio, Texas, USA, November 8-12, 2010
Year:
2010
Keywords:
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 Record created 2010-09-24, last modified 2018-09-13

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