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B9 raines venice_timemachine_minimized

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2014 EVA/Minerva Jerusalem International Conference on Digitisation of Cultural Heritage
http://2014.minervaisrael.org.il
http://www.digital-heritage.org.il

Published in: Internet
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B9 raines venice_timemachine_minimized

  1. 1. The Venice Time Machine A new way of navigating in the past Frédéric Kaplan Dorit Raines Ecole Polytecnique Fédérale de Lausanne Università Ca’ Foscari Venice
  2. 2. Battista Nani (1616-1678), Venetian ambassador, writer, historiographer
  3. 3. Birth act of Battista Nani in the Venetian State Archives
  4. 4. The Frari convent – today’s State Archives of Venice
  5. 5. The ambition of The Venice Time Machine project is to transform this huge archive into a digital information system.
  6. 6. How can one find all records regarding Battista Nani in 80 km. of documents?
  7. 7. The Venice Time Machine project aims to address this question by structuring the information contained in the records
  8. 8. 1. Digitization of all documents 2. Semi-automatic transcription of handwritten documents 3. Data mining and structured data base * We are currently in the experimental phase
  9. 9. Digitization of documents
  10. 10. Virtual X-ray reading “Reading” manuscripts using x-ray tomography. A single tomographic set could indeed yield the same information of traditional digitization process with minimized interaction with the document, drastically reducing the risk of damage and speeding up the process.
  11. 11. The X-ray imaging of the writings is made possible by the use, for many centuries and all over Europe, of iron-based inks generically denominated “iron gall”. There is a direct correlation between the ink iron content and the quality of x-ray attenuation-contrast images: a fundamental issue of the studies is the chemistry of the inks.
  12. 12. Semi-automatic Transcription of Handwritten Documents The framework based on machine-vision and machine-learning techniques is comprised of the following steps:
  13. 13. 1. Pre-processing algorithms used to enhance the readability of the textual content Optimal binarization
  14. 14. 2. The pre-filtered images go through a classification process with the purpose of classifying the document contents in graphical and textual elements and layout structure
  15. 15. 3. The textual content is finally processed using a semi-automatic transcription tool in order incrementally construct a digital version of the documents
  16. 16. Data mining and structured data base Each archival series will need its own structure (reduced to minimum to match others) BUT On a metacontent level ONLY 4 categories are important: Persons Places Institutions Objects + date The search will be done using the above 4 categories (metacontent), with sub divisions: METACONTENT: Painting 16th century; GRANULAR LEVEL: Titian; woman METACONTENT: Pietro Basadonna 1675; GRANULAR LEVEL: Capuchin order; mansionary Each source creates the link between dates and facts
  17. 17. Let’s turn back to Battista Nani
  18. 18. But we can do better still – we can create 3D representations of Venice and link documents to each palace in order to tell its history and the urbanistic changes throughout the ages
  19. 19. The Rialto bridge area - 1500
  20. 20. A 3D rendering of the Rialto bridge area
  21. 21. And many more projects to come! Garzoni. Aprenticeship, labor and society, by Valentina Sapienza
  22. 22. The Venice Time Machine Project Our website: dhvenice.eu Partner Institutions Archivio di Stato di Venezia, direttore Raffaele Santoro École Polytechnique Fédérale de Lausanne (EPFL), president Patrick Aebischer Università Ca’ Foscari di Venezia, rettore Michele Bugliesi With the support of Fondation Lombard Odier Director Frédéric Kaplan, École Polytechnique Fédérale de Lausanne (EPFL) Project Management Giovanni Colavizza, École Polytechnique Fédérale de Lausanne (EPFL) Isabella di Lenardo, École Polytechnique Fédérale de Lausanne (EPFL) Katerina Kunz, École Polytechnique Fédérale de Lausanne (EPFL) Andrea Mazzei, École Polytechnique Fédérale de Lausanne (EPFL) Giovanni Caniato, Archivio di Stato di Venezia Simon Levis Sullam, Università Ca’ Foscari di Venezia Dorit Raines, Università Ca’ Foscari di Venezia Partner projects “Garzoni project”, coordinator Valentina Sapienza, Université de Lille “Visualizing Venice”, Steering Committee: Caroline Bruzelius, Donatella Calabi, Andrea Giordano, Mark Olson, Andrea Rinaldo, Victoria Szabo, Guido Zucconi. Technical support 4DigitalBooks, Ivo Iossiger, scanner provider, Ecublens, Switzerland Bread and Butter, digital media, Lausanne, Switzerland AMstudio, 3D modelling, Venezia, Italy Olivo Bondesan, foto-riproduzione, Archivio di Stato di Venezia Thank you!

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