A Fast CBIR System of Old Ornamental Letter
Graphics Recognition. Recent Advances and New Opportunities
A Non-symmetrical Method of Image Local-Difference Comparison for Ancient Impressions Dating
Graphics Recognition. Recent Advances and New Opportunities
A Vectorial Representation for the Indexation of Structural Informations
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Picture extraction from digitized historical manuscripts
Proceedings of the ACM International Conference on Image and Video Retrieval
Medieval manuscript layout model
Proceedings of the 10th ACM symposium on Document engineering
Surfing on artistic documents with visually assisted tagging
Proceedings of the international conference on Multimedia
Automatic segmentation of digitalized historical manuscripts
Multimedia Tools and Applications
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In this paper, we describe how meta-data of indexation can be extracted from historical document images using an interactive process with a software called AGORA. The algorithms involved in AGORA use two maps to segment noisy images: a shape map that focuses on connected components and a background map that provides information on white areas corresponding to block separations in the page. Using a first segmentation result obtained by using these two maps, meta-data can be extracted according to scenarios produced by the users. These scenarios are defined very simply during an interactive stage. The user is able to make processing sequences adapted to the different kinds of images he is likely to meet and according to the desired meta-data. Finally, we describe different experimentations that have been done during the BVH project to test the usability and the performances of AGORA software.