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SUMMARY:Reconstruction of degraded medieval music notation in Cambridge li
 braries with multispectral imaging and advanced data representation method
 s - Anna Breger (University of Klagenfurt)
DTSTART:20260128T153000Z
DTEND:20260128T163000Z
UID:TALK243031@talks.cam.ac.uk
CONTACT:125293
DESCRIPTION:*Abstract*\n\nIn this talk we discuss the potential of combini
 ng multi-spectral imaging (MSI) with non-standard projection methods to vi
 sualize the acquired data and to reconstruct illegible bits of medieval mu
 sic notation. Our examples include manuscripts and fragments that suffer f
 rom different kinds of degradations rendering parts of the notation illegi
 ble. Such degradations may happen due to chemical or physical damage\, for
  example from iron-gall acidity or from deliberate erasure. When appropria
 te for the problem at hand\, MSI has the power to envision the invisible\,
  but always comes with the choice of post-processing for visualization. We
  compare the images acquired from different MSI systems and traditional ve
 rsus our advanced post-processing\, and demonstrate the success on medieva
 l manuscripts and fragments with musical notation from Oxbridge libraries.
 \n\n*Biography*\n\nDr Anna Breger has been an Assistant Research Professor
  at the Cambridge Image Analysis group at the Department of Applied Mathem
 atics and Theoretical Physics and a Research Associate at the Gonville & C
 aius college\, and will now continue her path at the University of Klagenf
 urt (Austria) as Senior Scientist and Head of Interdisciplinarity and Coll
 aboration. Her background is in Applied Mathematics and Early Music\, whic
 h is combined in her recent research project "AI meets cultural heritage: 
 Non-invasive imaging and machine learning techniques for the reconstructio
 n of degraded historical sheet music“\, where she collaborates with the 
 Cultural Heritage Imaging laboratory (CHIL) at the University Library\, th
 e Fitzwilliam museum and Gonville & Caius College library. The research pr
 oject aims to recover early musical sources that suffer from degradations 
 and combines advanced imaging with new methodologies for visualization to 
 reconstruct lost notation in collaboration with musicologists. \n\n*Zoom 
 link*\n\nhttps://zoom.us/j/99433440421?pwd=ZWxCQXFZclRtbjNXa0s2K1Q2REVPZz0
 9 (Meeting ID: 994 3344 0421\; Passcode: 714277)
LOCATION:CMS computer room\, Faculty of Music (11 West Road\, Cambridge\, 
 CB3 9DP)
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