Abstract
In this paper we investigate generic methods for placing
photos uploaded to Flickr on the World map. As primary input
for our methods we use the textual annotations provided
by the users to predict the single most probable location
where the image was taken. Central to our approach is a
language model based entirely on the annotations provided
by users. We define extensions to improve over the language
model using tag-based smoothing and cell-based smoothing,
and leveraging spatial ambiguity. Further we demonstrate
how to incorporate GeoNames, a large external database of
locations. For varying levels of granularity, we are able to
place images on a map with at least twice the precision of
the state-of-the-art reported in the literature.
Original language | Undefined |
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Title of host publication | Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval |
Publisher | Association for Computing Machinery |
Pages | 484-491 |
Number of pages | 8 |
ISBN (Print) | 978-1-60558-483-6 |
DOIs | |
Publication status | Published - 2009 |
Event | 32nd Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 - Boston, United States Duration: 19 Jul 2009 → 23 Jul 2009 Conference number: 32 |
Publication series
Name | |
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Publisher | ACM |
Conference
Conference | 32nd Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 |
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Abbreviated title | SIGIR |
Country/Territory | United States |
City | Boston |
Period | 19/07/09 → 23/07/09 |
Keywords
- IR-69904
- METIS-265278
- Measurement
- EC Grant Agreement nr.: FP7/231507
- Experimentation
- Performance
- EWI-17418
- Algorithms