Geo_ML @ MediaEval Placing Task 2015

نویسندگان

  • Nghia Duong-Trung
  • Martin Wistuba
  • Lucas Drumond
  • Lars Schmidt-Thieme
چکیده

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 find a procedure that is conceptual to understand, simple to implement and flexible to integrate different techniques. In this paper, we present a three-step approach to tackle the locale-based sub-task.

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تاریخ انتشار 2015