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Geo_ML@MediaEval Placing Task 2015
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 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.
Publication Type
ConferencePaper
Author
Editor • • • • • • • • • • • •
Larson, Martha
Ionescu, Bogdan
Sjöberg, Mats
Anguera, Xavier
Poignant, Johann
Riegler, Michael
Eskevich, Maria
Hauff, Claudia
Sutcliffe, Richard
Jones, Gareth J.F.
Yang, Yi-Hsuan
Soleymani, Mohammad
Papadopoulos, Symeon
Date Issued
2015
Faculty
Institute / Institution
Published in
MediaEval 2015: Working Notes Proceedings of the MediaEval 2015 Workshop
Conference
MediaEval 2015 Multimedia Benchmark Workshop, Wurzen, 14.09.-15.09.2015
Publisher
CEUR-WS
Page Start
1
Page End
2
Series Name
CEUR Workshop Proceedings
Issue Number
1436
Link to the original publication
HilPub short link