[Ohiodig] Audiovisual Metadata Platform (AMP) planning project report released

Fri Apr 6 08:51:53 EDT 2018

In the last meeting AV transcription tools were brought up. The white paper below contains an appendix of various tool types and examples.

Tressa

[The Ohio State University]
Tressa Graves, MLIS | AV Assessment & Process Assistant
The Ohio State University Libraries | Libraries Tech Center
1165 Kinnear Road, Columbus, OH 43212
graves.387 at osu.edu<mailto:graves.387 at osu.edu>

From: Dunn, Jon William Butcher<mailto:jwd at IU.EDU>
Sent: Thursday, April 5, 2018 12:15 PM
To: AMIA-L at LSV.UKY.EDU<mailto:AMIA-L at LSV.UKY.EDU>
Subject: [AMIA-L] Audiovisual Metadata Platform (AMP) planning project reportreleased

Members of the Audiovisual Metadata Platform (AMP) project team at Indiana University Libraries<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Flibraries.indiana.edu%2F&data=02%7C01%7CAMIA-L%40lsv.uky.edu%7C167f8f32f93548d077b108d59afe9d3f%7C2b30530b69b64457b818481cb53d42ae%7C0%7C1%7C636585340701535580&sdata=yamNWV2cGTStdYyJAcNxc%2BdVa0rgfh9KgfEimdRoTOk%3D&reserved=0>, the University of Texas at Austin School of Information<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ischool.utexas.edu%2F&data=02%7C01%7CAMIA-L%40lsv.uky.edu%7C167f8f32f93548d077b108d59afe9d3f%7C2b30530b69b64457b818481cb53d42ae%7C0%7C1%7C636585340701535580&sdata=bBvfyC%2BpguRnF2NweNcWx8SWmo4xlt5ZCqOh6uThVA4%3D&reserved=0>, and AVP<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.weareavp.com%2F&data=02%7C01%7CAMIA-L%40lsv.uky.edu%7C167f8f32f93548d077b108d59afe9d3f%7C2b30530b69b64457b818481cb53d42ae%7C0%7C1%7C636585340701535580&sdata=Wu8dM3ahe3cTTLelSjhoVtr7mgyy5ym6cjMPyGL8Rbg%3D&reserved=0> are pleased to announce the release of a public white paper reporting on the outcomes of a planning project and workshop conducted in Fall 2017 to explore design and development of an open source software platform to support mass description of audiovisual content. This proposed system, known as AMP, is intended to utilize automated mechanisms linked together with human labor in a recursive and reflexive workflow to generate and manage metadata at scale for libraries and archives. This work was generously supported by a grant from the Andrew W. Mellon Foundation.

The report is available for download and viewing at http://hdl.handle.net/2022/21982<https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fhdl.handle.net%2F2022%2F21982&data=02%7C01%7CAMIA-L%40lsv.uky.edu%7C167f8f32f93548d077b108d59afe9d3f%7C2b30530b69b64457b818481cb53d42ae%7C0%7C1%7C636585340701535580&sdata=QvVWRGvZ3%2BXNs3pntR11M9rf4%2F1IOTBGErNOKjS6u%2Fc%3D&reserved=0>

Feedback on the report is very much welcomed and may be sent to any AMP project team member.

- Jon Dunn, on behalf of the AMP project team:

Jon W. Dunn, Indiana University Libraries, jwd at iu.edu<mailto:jwd at iu.edu>
Juliet L. Hardesty, Indiana University Libraries, jlhardes at iu.edu<mailto:jlhardes at iu.edu>
Tanya Clement, University of Texas at Austin School of Information, tclement at utexas.edu<mailto:tclement at utexas.edu>
Chris Lacinak, AVP, chris at weareavp.com<mailto:chris at weareavp.com>
Amy Rudersdorf, AVP, amy at weareavp.com<mailto:amy at weareavp.com>

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