Most of people recognize urban area using landmark, like big buildings, sculptures, or relics. If urban area didn't support information and also traveler didn't know information of landmarks, there are not a way to know where he is. Recently, mobile devices are tending to include Global Positioning System and navigation maps. But these research are not sufficient to know about local geometry information. Because if traveler didn't know about detail regional name or local map traveler, hard to estimate it.Recently works suggest some way of building recognition, but these methods militate in favor of recognition because large searching space. And the previous research have restricted to limited space due to restrictive mobile storage. So in this paper we propose optimizing solution for recognition of buildings through optimizing of comparative searching space using Global Positioning System. This efficient database reduction method of building recognition using Global Positioning System can help to find urban area information through building name and information. And proposed system is suitable for mobile handheld device, so we can use anytime, anywhere we want.

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AR (Augmented Reality) on mobile device is beyond providing simple additional information. Moreover, it has extended its range to variety domains. The latest AR service for device recognition uses POI (Point of Interest), GPS (Global Positioning System) or digital compass. These technologies could not be applied well in home and office environments, because it is difficult to recognize small and uniform shaped devices like industrial products. Nowadays, other methods of device recognition have been widely studied. One is tracking device features. This makes feature model and then compares feature model with trained model. The other is that using bar code or RFID. Such methods are hard to get into user-space because dynamic device status, device sensing or recognition could not be made into trained model. Therefore, in inner space like home or office, AR has not been used widely compared to outer space. In this paper, we propose new concept of technology about device recognition using network profile information though a mobile camera interface. In addition, we provide preview method about device's service, contents, and real-time status information so that users can use faster, more intuitive user-interface in mobile devices. We implement the system of media server and renderer to share digital contents. This provides intuitive interaction for contents sharing just using camera preview.

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