Multi-module image classification system

Authors:
Wonil Kim;Sangyoon Oh;Sanggil Kang;Dongkyun Kim
Affiliations:
College of Electronics and Information Engineering at Sejong University, Seoul, Korea;Computer Science Department at Indiana University, Bloomington, IN;Department of Computer Science, The University of Suwon, Gyeonggi-do, Korea;College of Electronics and Information Engineering at Sejong University, Seoul, Korea
Venue:
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Year:
2006

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Abstract

In this paper, we propose an image classification system employing multiple modules. The proposed system hierarchically categorizes given sports images into one of the predefined sports classes, eight in this experiment. The image first categorized into one of the two classes in the global module. The corresponding local module is selected accordingly, and then used in the local classification step. By employing multiple modules, the system can specialize each local module properly for the given class feature. The simulation results show that the proposed system successfully classifies images with the correct rate of over 70%.