A Web Application for Watermark Recognition
Oumayma Bounou
(1, 2, 3, 4)
,
Tom Monnier
(2, 3, 4)
,
Ilaria Pastrolin
(5)
,
Xi Shen
(3)
,
Marie-Françoise Limon-Bonnet
(6, 5)
,
François Bougard
(7)
,
Mathieu Aubry
(3)
,
Marc H. Smith
(2, 5)
,
Olivier Poncet
(8, 5)
,
Pierre-Guillaume Raverdy
(1)
,
Christine Bénévent
(5, 2)
1
SED -
Service Expérimentation et Développement [Paris Rocquencourt]
2 ENC - École nationale des chartes
3 LIGM - Laboratoire d'Informatique Gaspard-Monge
4 WILLOW - Models of visual object recognition and scene understanding
5 CJM - Centre Jean Mabillon
6 Archives nationales
7 IRHT - Institut de recherche et d'histoire des textes
8 CTHS - Comité des travaux historiques et scientifiques
2 ENC - École nationale des chartes
3 LIGM - Laboratoire d'Informatique Gaspard-Monge
4 WILLOW - Models of visual object recognition and scene understanding
5 CJM - Centre Jean Mabillon
6 Archives nationales
7 IRHT - Institut de recherche et d'histoire des textes
8 CTHS - Comité des travaux historiques et scientifiques
François Bougard
- Fonction : Auteur
- PersonId : 3500
- IdHAL : francois-bougard
- ORCID : 0000-0001-8540-8141
- IdRef : 033408149
Mathieu Aubry
- Fonction : Auteur
- PersonId : 945627
- IdHAL : mathieu-aubry
Christine Bénévent
- Fonction : Auteur
- PersonId : 6595
- IdHAL : christine-benevent
- IdRef : 057673594
Résumé
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 challenge. Nonetheless, Shen et al. [2019] recently introduced a new
approach for this specific task which showed promising results. Building upon this approach, this work
proposes a new public web application dedicated to automatic watermark recognition entitled Filigranes
pour tous. The application not only hosts a detailed catalog of more than 17k watermarks manually collected from the French National Archives (Minutier central) or extracted from existing online resources
(Briquet database), but it also enables non-specialists to identify a watermark from a simple photograph
in a few seconds. Moreover, additional watermarks can easily be added by the users making the enrichment of the existing catalog possible through crowdsourcing. Our Web application is available at
http://filigranes.inria.fr/.
Domaines
Héritage culturel et muséologieFormat du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
A Web Application for Watermark Recognition
|
Résumé |
en
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 challenge. Nonetheless, Shen et al. [2019] recently introduced a new
approach for this specific task which showed promising results. Building upon this approach, this work
proposes a new public web application dedicated to automatic watermark recognition entitled Filigranes
pour tous. The application not only hosts a detailed catalog of more than 17k watermarks manually collected from the French National Archives (Minutier central) or extracted from existing online resources
(Briquet database), but it also enables non-specialists to identify a watermark from a simple photograph
in a few seconds. Moreover, additional watermarks can easily be added by the users making the enrichment of the existing catalog possible through crowdsourcing. Our Web application is available at
http://filigranes.inria.fr/.
|
Auteur(s) |
Oumayma Bounou
1, 2, 3, 4
, Tom Monnier
2, 3, 4
, Ilaria Pastrolin
5
, Xi Shen
3
, Marie-Françoise Limon-Bonnet
6, 5
, François Bougard
7
, Mathieu Aubry
3
, Marc H. Smith
2, 5
, Olivier Poncet
8, 5
, Pierre-Guillaume Raverdy
1
, Christine Bénévent
5, 2
1
SED -
Service Expérimentation et Développement [Paris Rocquencourt]
( 542797 )
- France
2
ENC -
École nationale des chartes
( 307249 )
- 65, rue de Richelieu, 75002 Paris
- France
3
LIGM -
Laboratoire d'Informatique Gaspard-Monge
( 1001627 )
- Université Gustave Eiffel, Cité Descartes, Bâtiment Copernic, 5 bd Descartes, 77454 Marne-la-Vallée Cedex 2
- France
4
WILLOW -
Models of visual object recognition and scene understanding
( 454692 )
- France
5
CJM -
Centre Jean Mabillon
( 241921 )
- École nationale des chartes
65 rue de Richelieu, 75002 Paris
- France
6
Archives nationales
( 556329 )
- Centre d'accueil et de recherche des Archives nationales (CARAN)
11 rue des Quatre-Fils, 75003 Paris
Archives nationales - Site de Pierrefitte-sur-Seine
59 rue Guynemer, 93380 Pierrefitte-sur-Seine
- France
7
IRHT -
Institut de recherche et d'histoire des textes
( 423 )
- IRHT-CNRS, Campus Condorcet 14, cours des Humanités
93322 Aubervilliers.
- France
8
CTHS -
Comité des travaux historiques et scientifiques
( 23419 )
- France
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2020-07-17
|
Volume |
Atelier Digit_Hum
|
Nom de la revue |
|
Date de publication électronique |
2020-07-17
|
Revue du Wos |
Non précisé
|
État de l'article |
paru
|
Langue du document |
Anglais
|
Numéro |
45
|
Page/Identifiant |
33
|
Domaine(s) |
|
Projet(s) ANR |
|
Mots-clés |
en
cross-domain recognition, deep learning, watermark recognition, web application, paper analysis
|
arXiv Id | 1802.05064 |
DOI | 10.46298/jdmdh.6220 |
Origine :
Fichiers produits par l'(les) auteur(s)
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