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

DOI

10.2991/jrnal.2016.2.4.7How to use a DOI?

Keywords

Reality mining; Photograph, Event detection, Geo tagged images

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Sora Tanioka
AU  - Masao Kubo
AU  - Hiroshi Sato
PY  - 2016
DA  - 2016/03/01
TI  - Fast collective photographic subject detection without pixels by an assumption about a shoot and its elevation angle
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 234
EP  - 237
VL  - 2
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2016.2.4.7
DO  - 10.2991/jrnal.2016.2.4.7
ID  - Tanioka2016
ER  -