Abstract
Automatic image tagging is becoming increasingly important to organize large amounts of image data. To identify concepts in images, these tagging systems rely on large sets of annotated image training sets. In this work we analyze image sets taken from online community-driven image databases, such as Flickr, for use in concept identification. Real-world performance is measured using our flexible tagging system, Tagr. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Renn, M., Van Beusekom, J., Keysers, D., & Breuel, T. M. (2010). Automatic image tagging using community-driven online image databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5811 LNCS, pp. 112–126). https://doi.org/10.1007/978-3-642-14758-6_10
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