Generic and Specific Object Recognition for Semantic Retrieval of Images
Language
English
Type
Proceedings of International Conferences
Authors
Martin Klinkigt, Koichi Kise, Andreas Dengel
Title
Generic and Specific Object Recognition for Semantic Retrieval of Images
Journal
15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems
Vol.
6881
Pages
pp.397-406
Publisher
Springer LNCS
Reviewed
Reviewed
Date
September 2011
Research fields
Object Recognition
Key
Klinkigt2011a (id=1234)
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.
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