Clipping the Page – Automatic Article Detection and Marking Software in Production of Newspaper Clippings of a Digitized Historical Journalistic Collection
| Autor: | Kimmo Kettunen, Erno Liukkonen, Tuula Pääkkönen |
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| Přispěvatelé: | Doucet, Antoine, Isaac, Antoine, Golub, Koraljka, Aalberg, Trond, Jatowt, Adam, The National Library of Finland, Research Library |
| Rok vydání: | 2019 |
| Předmět: |
business.industry
National library Computer science 518 Media and communications 05 social sciences Usability 113 Computer and information sciences 050905 science studies Newspaper Set (abstract data type) World Wide Web Software Clipping (photography) 0509 other social sciences 050904 information & library sciences business |
| Zdroj: | Digital Libraries for Open Knowledge ISBN: 9783030307592 TPDL |
| DOI: | 10.1007/978-3-030-30760-8_33 |
| Popis: | This paper describes utilization of article detection and extraction on the Finnish Digi (https://digi.kansalliskirjasto.fi/etusivu?set_language=en) newspaper material of the National Library of Finland (NLF) using data of one newspaper, Uusi Suometar 1869–1918. We use PIVAJ software [1] for detection and marking of articles in our collection. Out of the separated articles we can produce automatic clippings for the user. The user can collect clippings for own use both as images and as OCRed text. Together these functionalities improve usability of the digitized journalistic collection by providing a structured access to the contents of a page. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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