| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Research Abstract |
We focused on the meta-data of the digital photographs and realize a clustering method which based on data-mining techniques, not image processing techniques. We use EXIF and geo-tag. EXIF represented the camera settings when a photo was taken. Geo-tag indicated a location (latitude and longitude) where a photo was taken. Today, with the spread of smartphones, a lot of digital photographs that have EXIF and geo-tag are shared on various Social Networking Services. We used the huge data-set and estimated geological AoI (Area of Interests). Out result shows that proposed method achieved high accuracy than the existing naive techniques. We also proposed a parallel visualization interface which is called Tiled Display Wall and distributed data processing method on our proposed Tiled Display Wall.
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