Automated Quality Assurance for Migration of Born-digital Images

A. Kulmukhametov, M. Plangg, C. Becker:
"Automated Quality Assurance for Migration of Born-digital Images";
Vortrag: IS&T Archiving 2014, Berlin, Germany; 13.05.2014 - 16.05.2014; in:"IS&T Archiving Conference 2014", Society for Imaging Science&Technology, Berlin, Germany (2014), ISBN: 978-0-89208-309-1.

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Abstract:


Migration to standardized formats is a common approach for
the preservation of digital objects. To ensure the authenticity of
the resulting artefacts and the validity of the migration, quality assurance is essential. For large-scale migration, automated quality assurance processes are an essential prerequisite. This paper focuses on the migration processes of born-digital photographs.
We describe the particular requirements for successful automation
of quality assurance. A key aspect of this is the authenticity
of the image, the fidelity of the rendering as it appears to an expert viewer. Automation requires us to substitute the human expert viewer with a software algorithm. The key question is whether existing image comparison mechanisms can be applied. To address
it, we introduce a publicly available automated workflow relying
on perceptual quality assurance measures and present an experiment
testing the correlation of the automated measures to human
perception.