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Analysis of Keywords used in Image Understanding Tasks

In the field of computer vision, automated image annotation and object recognition are currently important research topics. It is hoped that these will lead to improved general image understanding which can be usefully applied in Content-based Image Retrieval. In this paper, an analysis of the keywords that have been used in automated image and video annotation research and evaluation campaigns is presented. The outcome of this analysis is a list of 525 keywords divided into 15 categories. Given that this list is collected from existing image annotations, it could be used to check the applicability of ontologies describing entities which are portrayable in images.

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