Generic and specific object recognition for semantic retrieval of images

Authors:
Martin Klinkigt;Koichi Kise;Andreas Dengel
Affiliations:
Graduate School of Engineering, Osaka Prefecture University;Graduate School of Engineering, Osaka Prefecture University;German Research Center for Artificial Intelligence
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Year:
2011

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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.