The CNI spring 2020 in-person meeting has been canceled but we are developing a virtual meeting. Please visit the CNI meeting website for updated information. Meeting registrants have received information on how to sign up for live webcasts (to take place between Monday, March 30 and Friday, May 29). Videos of most participating project briefings will be made available publicly as soon as possible. Please contact diane@cni.org if you did not receive this information and believe you should have. Visit https://www.cni.org/mm/spring-2020 for more information. Twitter: #cni20s Looking for a specific timezone? We have it covered...
Academic libraries and archives are dealing with increasing numbers of digital audio and video (AV) files, acquired through digitization of analog collections and acquisition of born-digital AV resources. While the emergence of low-cost storage options and maturity of streaming platforms have made it easier to store and deliver AV, these collections often lack metadata needed to make them discoverable and usable by researchers and other users. The Indiana University Libraries have been working with partners at the University of Texas at Austin, New York Public Library, and digital consultant AVP to develop an open-source software platform, known as AMP (Audiovisual Metadata Platform), that leverages automated machine learning-based tools together with human expertise to build workflows to create and augment metadata for AV resources that enable discovery, rights determination, and use. We will present an update on the progress of the AMP project and its successes and challenges to date, including issues of workflows and integration of open-source and cloud-based machine learning tools. This presentation follows on a presentation given at CNI in spring 2018 on the planning project that led to this current phase of work, which is generously funded by a grant from The Andrew W. Mellon Foundation. https://www.cni.org/topics/special-collections/amp-project-update-leveraging-machine-learning-and-human-expertise-for-av-collections-access
