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

Menzner, T.; Mittag, Florian; Leidner, Jochen L. (2023)

Advances in Information Retrieval: Proceedings of the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2-6, 2023 3, S. 275–280.
DOI: 10.1007/978-3-031-28241-6_26


Peer Reviewed
 

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.

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Prof. Dr. Florian Mittag


Hochschule Coburg

Fakultät Elektrotechnik und Informatik (FEI)
Friedrich-Streib-Str. 2
96450 Coburg

T +49 9561 317 316
Florian.Mittag[at]hs-coburg.de

ORCID iD: 0000-0002-6472-0221