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

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Table (3)
Contents (3)

 name link intern personenkennziffer
0 T. Menzner false 
1 Florian Mittag https://www.hs-coburg.de/personen/prof-dr-florian-mittag/ true 
2 Jochen Leidner https://www.hs-coburg.de/personen/prof-dr-jochen-leidner/ true

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	name	link	intern
0	T. Menzner		`false`
1	Florian Mittag	https://www.hs-coburg.de/personen/prof-dr-florian-mittag/	`true`
2	Jochen Leidner	https://www.hs-coburg.de/personen/prof-dr-jochen-leidner/	`true`

⇄titel => string (70) "Which Country Is This? Automatic Country Ranking of Street View Photos" $post['titel']

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Advances in Information Retrieval: Proceedings of the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2-6, 2023

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<p>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.<br></p>

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Menzner, T.; Mittag, Florian; Leidner, Jochen L. (2023): Which Country Is This? Automatic Country Ranking of Street View Photos. 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

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https://www.hs-coburg.de/publikation/3567-which-country-is-this-automatic-country-ranking-of-street-view-photos/

The website of Coburg University of Applied Sciences was translated using translation software provided by a third-party provider such as DeepL. The official text is the German version of the website. No liability is assumed, either explicitly or implicitly, for the accuracy, reliability, or correctness of the translations into another language.

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

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.

Titel:

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

Veröffentlichungsdatum:

16.03.2023

Publikationsart:

Beitrag zu wissenschaftlicher Konferenz/Tagung

Forschungsschwerpunkt:

kein FSP zugeordnet

Medien:

Advances in Information Retrieval: Proceedings of the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2-6, 2023

DOI:

https://doi.org/10.1007/978-3-031-28241-6_26

Weblink:

Heft:

Band:

Artikelnummer:

ISBN:

978-3-031-28240-9

Autoren:

T. Menzner, Florian Mittag, Jochen Leidner

Medien:

Advances in Information Retrieval: Proceedings of the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2-6, 2023

Herausgeber:

Springer

Seiten:

275–280

Open Access:

Peer reviewed:

Zitierung:

Menzner, T.; Mittag, Florian; Leidner, Jochen L. (2023): Which Country Is This? Automatic Country Ranking of Street View Photos. 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

Autoren:

T. Menzner, Florian Mittag, Jochen Leidner

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

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