Name
Abstract | ||
|---|---|---|
We participated in the MediaEval Benchmarking whose goal is to concentrate on the multimodal geo-location prediction on the Yahoo! Flickr Creative Commons 100M dataset - the placing task. It challenges participants to develop models and/or techniques to estimate the geographic locations of the Flickr resources based on textual metadata, e.g. titles, descriptions and tags. We aim to nd a procedure that is conceptual to understand, simple to implement and exible to integrate dierent techniques. In this paper, we present a three-step approach to tackle the locale-based sub-task. |
Year | Venue | Field |
|---|---|---|
2015 | MediaEval | Metadata,World Wide Web,Locale (computer software),Geography,Benchmarking,Creative commons |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nghia Duong-Trung | 1 | 9 | 4.40 |
| Martin Wistuba | 2 | 154 | 19.66 |
| Lucas Drumond | 3 | 395 | 24.27 |
| Lars Schmidt-Thieme | 4 | 3802 | 216.58 |