When artificial intelligence and video metadata collide: A learning curve

Mark Milstein
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Mark Milstein: Microstocksolutions

Journal of Digital Media Management, 2019, vol. 8, issue 2, 153-164

Abstract: This article describes the development of a media asset management system supported by artificial intelligence that serves not just as a metadata hub, but also as a content discovery platform. The project sought to rewrite the way video metadata are applied to both digital video and immersive content; create a mobile and cloud-based platform that would support the application of this new metadata standard, as well as the search and discovery of assets embedded with in-frame, time-based metadata; build a proprietary artificial intelligence bot to generate this new metadata standard; deploy it internally, and bring it to market for third-party licensing — all in less than 24 months. This article discusses the setbacks and surprises encountered on this ultimately successful journey.

Keywords: metadata; artificial intelligence; keywording; video; machine learning; media asset management; digital asset management; product development (search for similar items in EconPapers)
JEL-codes: M11 M15 (search for similar items in EconPapers)
Date: 2019
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