2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07)
SVM Based Classification of Seven Nature Objects for Anytime, Anywhere Digital Photo Annotation
Seoul, Korea
April 26-April 28
ISBN: 0-7695-2777-9
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.
Citation:
Chull Hwan Song, Seong Joon Yoo, "SVM Based Classification of Seven Nature Objects for Anytime, Anywhere Digital Photo Annotation," mue, pp.1249-1254, 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07), 2007