Name
Abstract | ||
|---|---|---|
Tourist photographs constitute a large part of the images uploaded to photo sharing platforms. But filtering methods are needed before one can extract useful knowledge from noisy user-supplied metadata. Here we show how to extract clean trip related information (what people visit, for how long, panoramic spots) from Flickr metadata. We illustrate our technique on a sample of metadata and images covering 183 cities of different size and from different parts of the world. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1645953.1646211 | CIKM |
Keywords | Field | DocType |
different part,large part,useful knowledge,people visit,clean trip,user-supplied collection,mining tourist information,panoramic spot,noisy user-supplied metadata,flickr metadata,different size,tourist photograph,k nearest neighbors,image classification,k nearest neighbor | Data mining,Metadata,World Wide Web,Information retrieval,Computer science,Upload,Tourism,Contextual image classification | Conference |
Citations | PageRank | References |
28 | 1.19 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adrian Popescu | 1 | 263 | 20.15 |
| Gregory Grefenstette | 2 | 1129 | 147.00 |
| Pierre-Alain Moëllic | 3 | 139 | 11.16 |