Conference/ProceedingsNEM Summit 2011
Start date27.09.2011
End date29.09.2011
AddressTorino, Italy, September 27-29 2011
OrganisationNEM Summit
EditorEurescom – the European Institute for Research and Strategic Studies in Telecommunications – GmbH
PublisherSigma Orionis
Author(s)Pascal Kelm, Sebastian Schmiedeke, Kai Clüver, Thomas Sikora
TitleAutomatic Geo-referencing of Flickr Videos
AbstractWe present a hierarchical, multi-modal approach for geo-referencing Flickr videos. Our approach makes use of external resources to identify toponyms in the metadata and of visual features to identify similar content. We use a database of more than 3.6 million Flickr images to group them into geographical areas and to build a hierarchical model. First, the geographical boundaries extraction method identifies the country and its dimension. Then, a visual method is used to classify the videos’ location into plausible areas. Next, the visually nearest neighbour method is used to find correspondences with the training images within the pre-classified areas. As the processed video sequences are represented using low-level feature vectors from multiple key frames, we also present techniques for video to image matchings. The Flickr videos are tagged with the geo-information of the visually most similar training item within the areas previously filtered in the pre-classification step. The results show that we are able to tag one third of our videos correctly within an error margin of 1 km.
Key wordsmultimedia analysis, geo-localization, gazetteers, MPEG-7 visual features
NoteCopyright © 2011 – Eurescom GmbH – On behalf of NEM Initiative
All rights on Proceedings of 2011 NEM Summit (Torino, Italy, September 27-29 2011)
reserved. All rights on individual papers, published in the proceedings, remain unaffected.

ISBN 978-3-00-035465-6

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