Semantic Retrieval of Images by Learning from Wikipedia

Martin Klinkigt, Koichi Kise, Heiko Maus, Andreas Dengel

In: Andreas König , Andreas Dengel , Knut Hinkelmann , Koichi Kise , Robert J. Howlett , Lakhmi C. Jain (Hrsg.). Knowledge-Based and Intelligent Information and Engineering Systems. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2011) September 12-14 Kaiserslautern Germany Seiten 212-221 Lecture Notes in Computer Science (LNCS) 6884 ISBN 978-3-642-23865-9 Springer 9/2011.


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.


Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence