Second International Conference on Document Image Analysis for Libraries (DIAL'06)
DOI: 10.1109/dial.2006.2
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AGORA: the Interactive Document Image Analysis Tool of the BVH Project

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Cited by 24 publications
(19 citation statements)
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“…AGORA project [3], [10] gives a user-driven annotation tool to make layout analysis for historical printed documents and to index them. Their segmentation algorithm builds shape map and background map.…”
Section: Related Workmentioning
confidence: 99%
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“…AGORA project [3], [10] gives a user-driven annotation tool to make layout analysis for historical printed documents and to index them. Their segmentation algorithm builds shape map and background map.…”
Section: Related Workmentioning
confidence: 99%
“…Nowadays, several works as [1], [2], [3] perform layout analysis for historical printed documents. For instance, they assist librarians to annotate the physical layout and logical structure of historical documents, as well as to transcript them.…”
Section: Introductionmentioning
confidence: 99%
“…Until now, the activities on DL of illuminated manuscripts have been accomplished by manual annotation and indexing, but some interesting systems deserve to be mentioned. The AGORA [25] software performs a map of the foreground and the background and consequently propose a user interface to assist in the creation of an XML annotation of the page components. The Madonne system [24] is another French initiative to use document image analysis techniques for the purpose of preserving and exploiting cultural heritage documents.…”
Section: Related Workmentioning
confidence: 99%
“…As the visualization assessment made by users is not entirely objective, the evaluation of the perturbation rendering is done with a classifier to evaluate the objective part. We have used a database coming from the digital library BVH [8] which includes 168 printings coming from 42 distinct ornamental letter stamps. The database contains four versions of each ornamental letter stamp, coming from four distinct books.…”
Section: Perturbation Impactmentioning
confidence: 99%