ChronSeg: Novel dataset for segmentation of handwritten historical chronicles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962097" target="_blank" >RIV/49777513:23520/21:43962097 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/349201748_ChronSeg_Novel_Dataset_for_Segmentation_of_Handwritten_Historical_Chronicles" target="_blank" >https://www.researchgate.net/publication/349201748_ChronSeg_Novel_Dataset_for_Segmentation_of_Handwritten_Historical_Chronicles</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0010317203140322" target="_blank" >10.5220/0010317203140322</a>
Alternative languages
Result language
angličtina
Original language name
ChronSeg: Novel dataset for segmentation of handwritten historical chronicles
Original language description
The segmentation of document images plays an important role in the process of making their content electronically accessible. This work focuses on the segmentation of historical handwritten documents, namely chronicles. We take image, text and background classes into account. For this goal, a new dataset is created mainly from chronicles provided by Porta fontium. In total, the dataset consists of 58 images of document pages and their precise annotations for text, image and graphic regions in PAGE format. The annotations are also provided at a pixel level. Further, we present a baseline evaluation using an approach based on a fully convolutional neural network. We also perform a series of experiments in order to identify the best method configuration. It includes a novel data augmentation method which creates artificial pages.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
ISBN
978-989-758-484-8
ISSN
2184-433X
e-ISSN
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Number of pages
9
Pages from-to
314-322
Publisher name
ScitePress
Place of publication
Setúbal
Event location
Online Streaming
Event date
Feb 4, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000661455800031