Fine-Tuning LayoutParser for the Analysis of Historical Italian Newspapers

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Date
2025
Authors
Imboden, Silvano
Mattei, Luca
Marconi, Gabriele
Andrucci, Federico
Gianelli, Alex
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present an initiative aimed at fine-tuning the LayoutParser framework to develop an AI model capable of understanding and decomposing newspaper pages. If successful, this effort would enable the large-scale processing of entire years of Italian newspaper issues, offering significant benefits to a wide range of researchers across multiple disciplines.
Description

CCS Concepts: Computing methodologies → Computer vision; Machine learning applications; Information systems → Digital libraries and archives; Applied computing → Document management and text processing

        
@inproceedings{
10.2312:dh.20253275
,
booktitle = {
Digital Heritage
},
editor = {
Campana, Stefano
 and 
Ferdani, Daniele
 and 
Graf, Holger
 and 
Guidi, Gabriele
 and 
Hegarty, Zackary
 and 
Pescarin, Sofia
 and 
Remondino, Fabio
},
title = {{
Fine-Tuning LayoutParser for the Analysis of Historical Italian Newspapers
}},
author = {
Imboden, Silvano
 and 
Mattei, Luca
 and 
Marconi, Gabriele
 and 
Andrucci, Federico
 and 
Gianelli, Alex
},
year = {
2025
},
publisher = {
The Eurographics Association
},
ISBN = {
978-3-03868-277-6
},
DOI = {
10.2312/dh.20253275
}
}
Citation
URI
https://doi.org/10.2312/dh.20253275
 https://diglib.eg.org/handle/10.2312/dh20253275
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