An Automatic Word-spotting Framework for Medieval Manuscripts

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Date
2015
Authors
Pintus, Ruggero
Yang, Ying
Gobbetti, Enrico
Rushmeier, Holly
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
We present a completely automatic and scalable framework to perform query-by-example word-spotting on medieval manuscripts. Our system does not require any human intervention to produce a large amount of annotated training data, and it provides Computer Vision researchers and Cultural Heritage practitioners with a compact and efficient system for document analysis. We have executed the pipeline both in a single-manuscript and a cross-manuscript setup, and we have tested it on a heterogeneous set of medieval manuscripts, that includes a variety of writing styles, languages, image resolutions, levels of conservation, noise and amount of illumination and ornamentation. We also present a precision/recall based analysis to quantitatively assess the quality of the proposed algorithm.
Description

        
@inproceedings{
10.1109:DigitalHeritage.2015.7419446
,
booktitle = {
International Congress on Digital Heritage - Theme 3 - Analysis And Interpretation
},
editor = {
Gabriele Guidi  and Roberto Scopigno and Juan Barceló
},
title = {{
An Automatic Word-spotting Framework for Medieval Manuscripts
}},
author = {
Pintus, Ruggero
 and 
Yang, Ying
 and 
Gobbetti, Enrico
 and 
Rushmeier, Holly
},
year = {
2015
},
publisher = {
IEEE
},
ISBN = {
978-1-5090-0048-7
},
DOI = {
10.1109/DigitalHeritage.2015.7419446
}
}
Citation
URI
https://doi.org/10.1109/DigitalHeritage.2015.7419446
Collections
DH2015 - Track 3