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SVM Based Classification of Seven Nature Objects for Anytime, Anywhere Digital Photo Annotation

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2 Author(s)
Chull Hwan Song ; Sejong University, 98 Gunja, Gwangjin Seoul, Korea ; Seong Joon Yoo

This paper proposes a method that can be utilized for automatically annotating digital photos anytime, anywhere. A digital camera or an annotation server connected to the digital camera through a ubiquitous computing network can automatically annotate captured photos using the proposed method. Annotating digital images is not a new research problem. We have developed a novel method of classifying seven nature objects from digital images. Thus, this paper describes the method and shows that it is superior to previous methods of classifying nature objects.

Published in:

2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07)

Date of Conference:

26-28 April 2007