| Title: | OS10-1 Fast collective photographic subject detection without pixels by an assumption about a shoot and its elevation angle |
|---|---|
| Publication: | ICAROB2016 |
| Volume: | 21 |
| Pages: | 416-419 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2016.OS10-1 |
| Author(s): | Sora Tanioka, Masao Kubo, Hiroshi Sato |
| Publication Date: | January 29, 2016 |
| 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, not pixel information of a digital photograph for this discovery, but at time of shoot, a GPS location, a bearing of the shoot and so on. This information 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. |
| PDF File: | https://alife-robotics.co.jp/members2016/icarob/data/papers/OS/OS10-1.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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