Case study: Integrating artificial intelligence metadata within Paramount’s digital asset management system

Dony West, Caitlin Denny and Rebecca Ruud
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Dony West: Paramount Pictures, USA
Caitlin Denny: Paramount Pictures, USA
Rebecca Ruud: Paramount Pictures, USA

Journal of Digital Media Management, 2021, vol. 9, issue 3, 198-208

Abstract: The Stills Archive team at Paramount Pictures Asset Management Group is responsible for the preservation and digitisation of all photography and artwork created in conjunction with each title produced by the studio. The studio’s digital asset management (DAM) system is a customised solution built on a trusted and widely used asset management platform. By partnering with a third-party artificial intelligence (AI) service, the DAM system creates AI metadata to coexist with human-generated metadata. Over the past year, Paramount’s Stills Archive team has experimented with this new metadata technology with the goal of streamlining workflow procedures in preservation and reducing the time spent on research requests. This paper outlines the vision, goals, implementation process and challenges associated with this endeavour.

Keywords: artificial intelligence; computer learning; metadata; photography; celebrity detection; Stills Archive (search for similar items in EconPapers)
JEL-codes: M11 M15 (search for similar items in EconPapers)
Date: 2021
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