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, Pages 212-221, Lecture Notes in Computer Science (LNCS), Vol. 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 users 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.