Paper Info
Title
Automated preservation: the case of digital raw photographs
Abstract
In digital preservation, a common approach for preservation actions is the migration to standardized formats. Full validation of the results of such conversion processes is required to ensure authenticity and trust. This process of quality assurance is a key obstacle to achieving scalability for large volumes of content. In this article, we address the quality assurance process for the preservation of born-digital photographs and validate conversions of raw image formats into standard formats such as Adobe Digital Negative. To achieve this, we rely on a systematic planning framework. We classify requirements that have to be evaluated according to their measurement needs. We extend an existing measurement framework using a combination of tools, image similarity algorithms, and purpose-built plugins. By combining metadata extraction, image rendering and comparison, and perceptual-level quality assurance, we evaluate the feasibility of automating the core part of quality assurance that is often the most costly part of preservation processes.
Year
DOI
Venue
2011
10.1007/978-3-642-24826-9_9
ICADL
Keywords
Field
DocType
image rendering,conversion process,quality assurance process,quality assurance,digital raw photograph,preservation process,automated preservation,preservation action,perceptual-level quality assurance,digital preservation,raw image format,image similarity algorithm
Obstacle,Digital preservation,Metadata,Data mining,Computer science,Image file formats,Plug-in,Rendering (computer graphics),Database,Quality assurance,Scalability
Conference
Volume
ISSN
Citations 
7008
0302-9743
2
PageRank 
References 
Authors
0.39
8
2
Name
Order
Citations
PageRank
Stephan Bauer151.16
Christoph Becker220.39