[AG-TECH] Seminar Today "Digging into image data: answering medieval authorship questions using e-science"

[Martin Turner]

  Today at 2pm (UK Time) and available over Access Grid (see bottom of 
the message) as well as at Manchester (sorry about the short notice).

"Digging into image data: answering medieval authorship questions using 
e-science"
Mike Meredith, Humanities Research Institute, University of Sheffield

Can adaptive image analytics attribute authorship? And if so how 
accurate and computationally scalable are they when applied to diverse 
collections of image data?

The topic of authorship is a common research question across multiple 
disciplines of humanities, arts and social sciences that unites 
researchers from the field of computational image analysis. The Digging 
into image data (DiD) project is about collaboratively undertaking 
e-science research and consists of researchers from the University of 
Sheffield, Michigan State University and the University of Illinois.

For the Sheffield team the work is specifically about identifying the 
characteristic stylistic, orthographic and iconographic 'signatures' of 
particular scribes and artists. Research is undertaken through the 
application of algorithms that include image-edge detection, polygonal 
model-fitting and geometric comparisons.  High-performance computers 
will also be deployed to facilitate the processing of the large 
collection of high-resolution datasets.

Further Information: 
http://www.sheffield.ac.uk/hri/projects/projectpages/did_images

Friday 15 October, 2-3pm Room 1.10, Kilburn Building, The University of 
Manchester.

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