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

Author

Listed:
  • West, Dony

    (Paramount Pictures, USA)

  • Denny, Caitlin

    (Paramount Pictures, USA)

  • Ruud, Rebecca

    (Paramount Pictures, USA)

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.

Suggested Citation

  • West, Dony & Denny, Caitlin & Ruud, Rebecca, 2021. "Case study: Integrating artificial intelligence metadata within Paramount’s digital asset management system," Journal of Digital Media Management, Henry Stewart Publications, vol. 9(3), pages 198-208, March.
    • Handle: RePEc:aza:jdmm00:y:2021:v:9:i:3:p:198-208
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    More about this item

    Keywords

    artificial intelligence; computer learning; metadata; photography; celebrity detection; Stills Archive;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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