Zobrazeno 1 - 5 of 5 pro vyhledávání: '"Ilaria Pastrolin"'
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Akademický článek
A Web Application for Watermark Recognition
Autor: Oumayma Bounou, Tom Monnier, Ilaria Pastrolin, Xi SHEN, Christine Benevent, Marie-Françoise Limon-Bonnet, François Bougard, Mathieu Aubry, Marc H. Smith, Olivier Poncet, Pierre-Guillaume Raverdy
Publikováno v: Journal of Data Mining and Digital Humanities, Vol Atelier Digit\_Hum, Iss Data deluge: which skills for... (2020)
The study of watermarks is a key step for archivists and historians as it enables them to reveal the origin of paper. Although highly practical, automatic watermark recognition comes with many difficulties and is still considered an unsolved challeng
Externí odkaz: https://doaj.org/article/e056f9f8ec3d4b04b40e209e5fc9a42a
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2
Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis
Autor: Xi Shen, Robin Champenois, Shiry Ginosar, Ilaria Pastrolin, Morgane Rousselot, Oumayma Bounou, Tom Monnier, Spyros Gidaris, François Bougard, Pierre-Guillaume Raverdy, Marie-Françoise Limon, Christine Bénévent, Marc Smith, Olivier Poncet, K. Bender, Béatrice Joyeux-Prunel, Elizabeth Honig, Alexei A. Efros, Mathieu Aubry
Publikováno v: International Journal of Computer Vision
International Journal of Computer Vision, Springer Verlag, 2022, ⟨10.1007/s11263-022-01576-x⟩
International Journal of Computer Vision, 2022, ⟨10.1007/s11263-022-01576-x⟩
International audience; Progress in the digitization of cultural assets leads to online databases that become too large for a human to analyze. Moreover, some analyses might be challenging, even for experts. In this paper, we explore two applications
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9389fb7d297f4218f63abcfbd5ebe6f
https://doi.org/10.1007/s11263-022-01576-x
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3
A Web Application for Watermark Recognition
Autor: Pierre-Guillaume Raverdy, François Bougard, Marie-Françoise Limon-Bonnet, Xi Shen, Oumayma Bounou, Tom Monnier, Mathieu Aubry, Marc H. Smith, Christine Benevent, Ilaria Pastrolin, Olivier Poncet
Publikováno v: Journal of Data Mining and Digital Humanities
Journal of Data Mining and Digital Humanities, Episciences.org, 2020, Atelier Digit_Hum (45), pp.33. ⟨10.46298/jdmdh.6220⟩
Journal of Data Mining and Digital Humanities, Episciences.org, 2020, 24 (45), pp.33. ⟨10.46298/jdmdh.6220⟩
Journal of Data Mining and Digital Humanities, 2020, Atelier Digit_Hum (45), pp.33. ⟨10.46298/jdmdh.6220⟩
Journal of Data Mining and Digital Humanities, Vol Atelier Digit_Hum, Iss Data deluge: which skills for wich data? (2020)
The study of watermarks is a key step for archivists and historians as it enables them to reveal the origin of paper. Although highly practical, automatic watermark recognition comes with many difficulties and is still considered an unsolved challeng
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae39b7973829ec7a4bdfbb6d8b5bb50a
https://hal.inria.fr/hal-02513038
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4
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Autor: Marc H. Smith, Xi Shen, Ilaria Pastrolin, Spyros Gidaris, Oumayma Bounou, Mathieu Aubry, Olivier Poncet
Publikováno v: ICPR
Historical watermark recognition is a highly practical, yet unsolved challenge for archivists and historians. With a large number of well-defined classes, cluttered and noisy samples, different types of representations, both subtle differences betwee
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de3bdbdf90434289406e5aae92b0db73
http://arxiv.org/abs/1908.10254
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