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Photo Clustering using Maximal Clique Finding Algorithm and Its Visualized Interface  

Ryu, Dong-Sung (Dept. of Computer Science, Pusan National University)
Cho, Hwan-Gue (Dept. of Computer Science, Pusan National University)
Abstract
Due to the distribution of digital camera, many work for photo management has been studied. However, most work use a sequential grid layout which arranges photos considering one criterion of digital photo. This interface makes users have lots of scrolling and concentrate ability when they manage their photos. In this paper, we propose a clustering method based on a temporal sequence considering their color similarity in detail. First we cluster photos using Cooper's event clustering method. Second, we makes more detailed clusters from each clustered photo set, which are clustered temporal clustering before, using maximal clique finding algorithm of interval graph. Finally, we arrange each detailed dusters on a user screen with their overlap keeping their temporal sequence. In order to evaluate our proposed system, we conducted on user studies based on a simple questionnaire.
Keywords
photo clustering; interval graph; clique; photo visualization;
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