Fast collective photographic subject detection without pixels by an assumption about a shoot and its elevation angle

Sora Tanioka, Masao Kubo, Hiroshi Sato
Corresponding Author
Sora Tanioka
Available Online 1 March 2016.
Reality mining; Photograph, Event detection, Geo tagged images
In this paper a method that discovers socially attracted photographic subjects in real time is proposed. This needs only non-pixel information of a digital photograph for this discovery which include a time of shoot, GPS location where a photograph is taken, a bearing of the shoot and so on. Thinformation is sufficiently lightweight so that we expect that a congestion-free photo sharing wireless network service can be achieved. In this paper, a photography behavior model which considers an elevation angle of a shoot makes the accuracy better.

© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
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