Which Country Is This? Automatic Country Ranking of Street View Photos

Fuente: arXiv
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Autores principales: Menzner, Tim, Leidner, Jochen L., Mittag, Florian
Formato: Preprint
Publicado: 2024
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author Menzner, Tim
Leidner, Jochen L.
Mittag, Florian
author_facet Menzner, Tim
Leidner, Jochen L.
Mittag, Florian
contents In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning and text retrieval methods to compute a ranking of likely countries of the location shown in a given image from Street View. Interestingly, using text-based features to probe large pre-trained language models can assist to provide cross-modal supervision. We are not aware of previous country guessing systems informed by visual and textual features.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07227
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Which Country Is This? Automatic Country Ranking of Street View Photos
Menzner, Tim
Leidner, Jochen L.
Mittag, Florian
Computer Vision and Pattern Recognition
Information Retrieval
In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning and text retrieval methods to compute a ranking of likely countries of the location shown in a given image from Street View. Interestingly, using text-based features to probe large pre-trained language models can assist to provide cross-modal supervision. We are not aware of previous country guessing systems informed by visual and textual features.
title Which Country Is This? Automatic Country Ranking of Street View Photos
topic Computer Vision and Pattern Recognition
Information Retrieval
url https://arxiv.org/abs/2406.07227