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


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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: Stills Archive; artificial intelligence; celebrity detection; computer learning; metadata; photography

Document Type: Research Article

Affiliations: Paramount Pictures

Publication date: January 1, 2021

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  • Journal of Digital Media Management is the essential peer-reviewed, professional journal for all those involved in the capture, storage and effective application of digital media assets.

    Each quarterly 100-page issue publishes in-depth articles, real world case studies and reviews written by some of the leading experts in the field. Topics range from lessons learned in DAM procurement, to the challenges of digital content work flow, and to monetizing digital assets in new and innovative ways. It cuts through the deluge of information facing DAM professionals to deliver authoritative, practical content that provides genuine thought-leadership on digital media management, with actionable advice and ‘lessons learned’ from end users on selecting and using DAM systems in practice.

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    • Does not promote a service or product

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