This paper demonstrates a photo browser which rearranges photos referring to the persons who were close to the photographer when the photos were taken by consulting Bluetooth device detection information. Most of Bluetooth devices accompany their owners. Each photo is tagged with Bluetooth device-IDs which were detected around the moment when it was taken. Employing the tag information, the system classifies the user's photo archive into a layered cluster tree in terms of tag similarity, and shows its user the photos of herselected cluster on either a map or timelines.
Abstract. One kind of pleasure that jam sessions bring is deciding a melody or an accompaniment while mutually predicting what the other participants are going to play. We propose a jam session system, called BayesianBand, which provides this kind of musical pleasure through sessions with computers. With this system, the chord progression in a session is not fixed in advance but rather is determined in real time by predicting the user's melody. The user, while improvising, is also expected to predict the chord progression generated by the system; accordingly, a cooperative jam session based on the mutual prediction will be achieved. To build this system, we constructed a model for melody prediction and chord inference based on a Bayesian network.
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