Improving Image Processing Through Iteration and Automation

Simple item page
dc.contributor.authorJones, Jerrell
dc.contributor.authorWatkins, Sean
dc.date.accessioned2021-08-05T18:48:56Z
dc.date.available2021-08-05T18:48:56Z
dc.date.issued2021-05-25
dc.description.abstractUH Libraries has been building a robust and flexible digital collections ecosystem since 2016. In 2020, UH Libraries launched its digital collections ecosystem that supports efficient digital collections management, effective digital preservation, and integration with library systems. These goals encompassed new tooling in the image processing workflow to help manage the demand at scale and facilitate the production of high-quality output. UH Libraries has implemented command-line based scripts to address inefficient legacy workflows. We will give examples of what workflows were created, tools developed and utilized for key processes, the progression of these tools through the digital projects agile team, and automation developed into UH Libraries digital projects management application, Mason. We will also examine some of the transformative knowledge gained during these iterative processes that contribute to a more efficient production environment. As UH Libraries continues its migration of collections into a new repository, these tools continue to be applied and improvements are being made to the image processing workflow and its tools.en_US
dc.description.departmentLibrariesen_US
dc.identifier.urihttps://hdl.handle.net/10657/8004
dc.language.isoen_USen_US
dc.subjectDigital collectionsen_US
dc.subjectImage processingen_US
dc.subjectImage toolsen_US
dc.subjectImageMagicken_US
dc.subjectMasonen_US
dc.subjectAutomationen_US
dc.titleImproving Image Processing Through Iteration and Automationen_US
dc.typePresentationen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
JonesWatkins_ImprovingImageProcessing_TCDL2021.pdf
Size:
4.21 MB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.67 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UH Faculty, Staff, and Student Works