Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to automatically process facsimiles and extract information thereby are multiplying with, as a first essential step, document...
Main Authors: | Raphaël Barman, Maud Ehrmann, Simon Clematide, Sofia Ares Oliveira, Frédéric Kaplan |
---|---|
Format: | Article |
Language: | English |
Published: |
Nicolas Turenne
2021-01-01
|
Series: | Journal of Data Mining and Digital Humanities |
Subjects: | |
Online Access: | https://jdmdh.episciences.org/7097/pdf |
Similar Items
Similar Items
-
Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
by: Raphaël Barman, et al.
Published: (2021-01-01) -
Computer Analysis of Architecture Using Automatic Image Understanding
by: Fan Wei, et al.
Published: (2019-01-01) -
Computer Analysis of Architecture Using Automatic Image Understanding
by: Fan Wei, et al.
Published: (2019-01-01) -
The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique
by: Beatrice Couture, et al.
Published: (2023-12-01) -
Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri
by: Graham West, et al.
Published: (2024-02-01)