Automatic Image Tagging using Community-Driven Online Image Databases

Marius Renn, Joost van Beusekom, Daniel Keysers, Thomas Breuel
Proceedings of 6th International Workshop on Adaptive Multimedia Retrieval, Berlin, Germany, o.A., 2008

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.

Files:

  2008-IUPR-18Aug_0756.pdf

BibTex:

@inproceedings{ RENN2008,
	Title = {Automatic Image Tagging using Community-Driven Online Image Databases},
	Author = {Marius Renn and Joost van Beusekom and Daniel Keysers and Thomas Breuel},
	BookTitle = {Proceedings of 6th International Workshop on Adaptive Multimedia Retrieval},
	Year = {2008},
	Publisher = {o.A.}
}

     
Last modified:: 30.08.2016