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Full-Text Articles in Computer Engineering
Presentation On Optimized Still Image Batch Processing Of Special Collections Bound Monographs And Manuscripts Using Dng, Jpeg 2000, And Embedded Xmp Metadata, Michael J. Bennett
Presentation On Optimized Still Image Batch Processing Of Special Collections Bound Monographs And Manuscripts Using Dng, Jpeg 2000, And Embedded Xmp Metadata, Michael J. Bennett
UConn Library Presentations
No abstract provided.
Optimized Still Image Batch Processing Of Special Collections Bound Monographs And Manuscripts Using Dng, Jpeg 2000, And Embedded Xmp Metadata, Michael J. Bennett
Optimized Still Image Batch Processing Of Special Collections Bound Monographs And Manuscripts Using Dng, Jpeg 2000, And Embedded Xmp Metadata, Michael J. Bennett
Published Works
Batch still image processing is examined in the context of operational bound monographs and manuscripts reformatting. The scaling of overall workflows through the flexible use of Lightroom, Photoshop, VueScan, and Jhove on parametrically-edited raw DNG and batch-rendered JPEG 2000 files is surveyed. Potential gains in processing efficiency, in comprehensive device data capture and preservation, in adaptable master image repurposing capabilities, and in the smoother growth of the required large-scale digital storage capacities that surround such operational conversions are considered.
The Uconn Vpc: A Collaborative Story About Desktop Virtualization, Tony Molloy, Jeremy Pollack, Ed Swindelles
The Uconn Vpc: A Collaborative Story About Desktop Virtualization, Tony Molloy, Jeremy Pollack, Ed Swindelles
UConn Library Presentations
The UConn vPC is a collaborative IT project among the UConn School of Business, the School of Engineering, and the University Libraries. The project delivered virtual desktops to UConn students beginning the fall semester of 2011. Students now have access to UConn-licensed applications from their PCs, Macs, and mobile devices from anywhere in the world where they have Internet access. This session discusses both the technology behind the service and the collaboration between the academic units that built a scalable, centralized service. An overview of the service can be found at http://vpc.uconn.edu.