DocumentCode :
517484
Title :
The Optimal Clustering Algorithm for Image Organization and Management in Wireless Mobile Internet
Author :
Chen, Weixiao ; Gong, Xiangyang ; Wang, Wendong ; Tian, Ye ; Yang, Xiaogang ; Ma, Jian
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
1
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
102
Lastpage :
106
Abstract :
In modern multimedia applications, images are often organized and managed by web sites or local applications with geographic information like GPS. But now this kind of multimedia applications doesn´t come up in mobile communication environment. This paper proposes a method in image organization and sharing on mobile terminal whose resources are limited. We use the K-means clustering algorithm and its optimized algorithm to accomplish the image organization with geographic information. The application is based on C/S architecture under mobile environment. By comparing the optimized K-means algorithm with the original one, we get the conclusion that the optimized algorithm achieves a much better partition of the images. The demo mentioned at the end of the paper has validated the feasibility and advantages of this scheme.
Keywords :
Internet; client-server systems; geographic information systems; mobile computing; multimedia computing; pattern clustering; C/S architecture; client-server architecture; geographic information; image management; image organization; k-means clustering algorithm; mobile communication environment; multimedia applications; optimal clustering algorithm; wireless mobile Internet; Clustering algorithms; Conference management; Environmental management; Global Positioning System; IP networks; Information technology; Internet; Partitioning algorithms; Technology management; Telecommunication network management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Information Technology (MMIT), 2010 Second International Conference on
Conference_Location :
Kaifeng
Print_ISBN :
978-0-7695-4008-5
Electronic_ISBN :
978-1-4244-6602-3
Type :
conf
DOI :
10.1109/MMIT.2010.121
Filename :
5474268
Link To Document :
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