An Automatic Word-spotting Framework for Medieval Manuscripts
| dc.contributor.author | Pintus, Ruggero | en_US |
| dc.contributor.author | Yang, Ying | en_US |
| dc.contributor.author | Gobbetti, Enrico | en_US |
| dc.contributor.author | Rushmeier, Holly | en_US |
| dc.contributor.editor | Gabriele Guidi and Roberto Scopigno and Juan Barceló | en_US |
| dc.date.accessioned | 2016-01-06T08:25:47Z | |
| dc.date.available | 2016-01-06T08:25:47Z | |
| dc.date.issued | 2015 | en_US |
| dc.description.abstract | We 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.sectionheaders | Full Papers - Analysis & Interpretation (I/II) | en_US |
| dc.description.seriesinformation | International Congress on Digital Heritage - Theme 3 - Analysis And Interpretation | en_US |
| dc.identifier.doi | 10.1109/DigitalHeritage.2015.7419446 | en_US |
| dc.identifier.isbn | 978-1-5090-0048-7 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/DigitalHeritage.2015.7419446 | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | Document Layout Analysis | en_US |
| dc.subject | Word | en_US |
| dc.subject | spotting | en_US |
| dc.subject | Medieval Manuscript | en_US |
| dc.title | An Automatic Word-spotting Framework for Medieval Manuscripts | en_US |