Personal photo browser that can classify photos by participants and situations

  • Authors:
  • Tomoya Onishi;Ryosuke Tokuami;Yasuyuki Kono;Satoshi Nakamura

  • Affiliations:
  • Kwansei Gakuin University, Gakuen, Sanda, Hyogo, Japan;Kwansei Gakuin University, Gakuen, Sanda, Hyogo, Japan;Kwansei Gakuin University, Gakuen, Sanda, Hyogo, Japan;Kyoto University, Yoshida-Honmachi, Sakyo, Kyoto, Japan

  • Venue:
  • Proceedings of the International Working Conference on Advanced Visual Interfaces
  • Year:
  • 2012

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Abstract

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 her-selected cluster on either a map or timelines.