Extraction of Ancient Map Contents Using Trees of Connected Components

From LRDE

Abstract

Ancient maps are an historical and cultural heritage widely recognized as a very important source of information, but exploiting such maps is complicated. In this project, we consider the Linguistic Atlas of France (ALF), built between 1902 and 1910. This cartographical heritage produces firstrate data for dialectological researches. In this paper, we focus on the separation of the content in layers for facilitating the extraction, the analysis, the visualization and the diffusion of the data contained in these ancient linguistic atlases.

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Bibtex (lrde.bib)

@InProceedings{	  drapeau.17.grec,
  author	= {Jordan Drapeau and Thierry G\'eraud and Micka\"el Coustaty
		  and Joseph Chazalon and Jean-Christophe Burie and
		  V\'eronique Eglin and St\'ephane Bres},
  title		= {Extraction of Ancient Map Contents Using Trees of
		  Connected Components},
  booktitle	= {Proceedings of the 12th IAPR International Workshop on
		  Graphics Recognition (GREC)},
  year		= 2017,
  address	= {Kyoto, Japan},
  month		= nov,
  doi		= {10.1007/978-3-030-02284-6_9},
  abstract	= {Ancient maps are an historical and cultural heritage
		  widely recognized as a very important source of
		  information, but exploiting such maps is complicated. In
		  this project, we consider the Linguistic Atlas of France
		  (ALF), built between 1902 and 1910. This cartographical
		  heritage produces firstrate data for dialectological
		  researches. In this paper, we focus on the separation of
		  the content in layers for facilitating the extraction, the
		  analysis, the visualization and the diffusion of the data
		  contained in these ancient linguistic atlases.}
}