Abstract
Recently, with the spread of wearable devices and digital cameras, the opportunity has increased to record everyday things in multimedia data, such as sound, photo or video. For users who record these as huge life-log data, it is not easy to search the data what and when the user wants. Under such circumstances, the users usually try to find them with any meta-information like recording date, the location or people within, for example. However, if these meta-information are missing or no one tagged it, the users have little chance to reach them. In this paper, we propose an image retrieval system like a WWW search engine. In proposed system, users will put the text query to the search engine as usual. The specific data in their private database are searched with the similarity of the data deployed by the search engine.
