An Automatic Word-spotting Framework for Medieval Manuscripts

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dc.contributor.authorPintus, Ruggeroen_US
dc.contributor.authorYang, Yingen_US
dc.contributor.authorGobbetti, Enricoen_US
dc.contributor.authorRushmeier, Hollyen_US
dc.contributor.editorGabriele Guidi and Roberto Scopigno and Juan Barcelóen_US
dc.date.accessioned2016-01-06T08:25:47Z
dc.date.available2016-01-06T08:25:47Z
dc.date.issued2015en_US
dc.description.abstractWe 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.en_US
dc.description.sectionheadersFull Papers - Analysis & Interpretation (I/II)en_US
dc.description.seriesinformationInternational Congress on Digital Heritage - Theme 3 - Analysis And Interpretationen_US
dc.identifier.doi10.1109/DigitalHeritage.2015.7419446en_US
dc.identifier.isbn978-1-5090-0048-7en_US
dc.identifier.urihttps://doi.org/10.1109/DigitalHeritage.2015.7419446en_US
dc.publisherIEEEen_US
dc.subjectDocument Layout Analysisen_US
dc.subjectWorden_US
dc.subjectspottingen_US
dc.subjectMedieval Manuscripten_US
dc.titleAn Automatic Word-spotting Framework for Medieval Manuscriptsen_US
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