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| Content Provider | ACM Digital Library |
|---|---|
| Author | Dulay, Naranker Choujaa, Driss |
| Abstract | Today's high-end mobile phones commonly include one or two digital cameras. These devices, also known as cameraphones, allow their owners to take photographs anywhere, at any time with practically no cost. As a result, many urban dwellers are photographed everyday without even being aware of it. Although in many countries, legislation recognises the right of people to veto the dissemination of their image, snapshots including recognisable passers-by often end up on photo-sharing websites. In this paper, we present a cooperative system for cameraphones which automatically anonymises faces of people photographed involuntarily. Our system, called BlurMe, uses Bluetooth awareness to inform a photographer's cameraphone when people around this photographer do not wish for their picture being taken. It then identifies subjects on the photograph and anonymises other people's faces. BlurMe was tested on 876 face regions detected on 150 real-life photographs collected from a photo-sharing website and manually labelled for subject faces. The system achieved very promising results on photographs with up to three subjects. |
| Starting Page | 137 |
| Ending Page | 144 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781605581927 |
| DOI | 10.1145/1543137.1543166 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-12-03 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Context awareness Anonymity Cameraphone Face blurring |
| Content Type | Text |
| Resource Type | Article |
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