CRS4 Repository

Automatic Algorithms for Medieval Manuscript Analysis

Show simple item record

dc.contributor.author Pintus, Ruggero
dc.contributor.author Yang, Ying
dc.contributor.author Rushmeier, Holly
dc.contributor.author Gobbetti, Enrico
dc.date.accessioned 2017-09-25T14:07:19Z
dc.date.available 2017-09-25T14:07:19Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/1138/43
dc.description.abstract Massive digital acquisition and preservation of deteriorating historical and artistic documents is of particular importance due to their value and fragile condition. The study and browsing of such digital libraries is invaluable for scholars in the Cultural Heritage field, but requires automatic tools for analyzing and indexing these datasets. We will describe a set of completely automatic solutions to estimate per-page text leading, to extract text lines, blocks and other layout elements, and to perform query-by-example word-spotting on medieval manuscripts. Those techniques have been evaluated on a huge heterogeneous corpus of illuminated medieval manuscripts of different writing styles, languages, image resolutions, amount of illumination and ornamentation, and levels of conservation, with various problematic issues such as holes, spots, ink bleed-through, ornamentation, and background noise. We also present a quantitative analysis to better assess the quality of the proposed algorithms. By not requiring any human intervention to produce a large amount of annotated training data, the developed methods provide Computer Vision researchers and Cultural Heritage practitioners with a compact and efficient system for document analysis. en_US
dc.description.sponsorship Terms: "European Union (EU)" & "Horizon 2020" / Action: H2020-EU.3.6.3. - Reflective societies - cultural heritage and European identity / Acronym: Scan4Reco / Grant number: 665091 en_US
dc.language.iso en en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject Semantic Feature Extraction en_US
dc.subject Medieval Manuscript en_US
dc.subject Document Layout Analysis en_US
dc.subject Word spotting en_US
dc.subject Multi-spectral analysis en_US
dc.title Automatic Algorithms for Medieval Manuscript Analysis en_US
dc.type info:eu-repo/semantics/article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account