@inproceedings{pub6579,
    abstract = {Since the availability of large digital image collections the need for a proper management of them raises. New technologies as annotations or tagging support the user by doing this task. However, this task is time-consuming and, therefore, automatic annotation systems are requested. Working outside of controlled laboratory environments this request is challenging. In this paper we propose a system automatically adapted to the user’s needs, providing useful annotations. We utilize Wikipedia to learn instances and abstract classes. With an evaluation in a complex use-case and dataset we show the possibility of such an attempt and achieve practical recognition rates of 26% on specific instance and 64% on abstract class level.},
    year = {2011},
    title = {Generic and Specific Object Recognition for Semantic Retrieval of Images},
    booktitle = {Knowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part I. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-11), September 12-14, Kaiserslautern, Germany},
    editor = {Andreas König and Andreas Dengel and Knut Hinkelmann and Koichi Kise and Robert J. Howlett and Lakhmi C. Jain},
    pages = {397-406},
    isbn = {978-3-642-23850-5},
    publisher = {Springer},
    author = {Martin Klinkigt and Koichi Kise and Andreas Dengel},
    url = {http://dx.doi.org/10.1007/978-3-642-23851-2_41}
}