From digital asset management to audience: Bringing content intelligence into the realm of business impact

Randa Minkarah
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Randa Minkarah: Transform

Journal of Digital Media Management, 2019, vol. 8, issue 1, 58-67

Abstract: This paper looks at content intelligence (the automation of fine-grained video analysis to understand its effects on viewer behaviours) and the ways in which it can be used to derive additional value from video that has been stored through digital asset management. The paper lays out the reasons for misplaced scepticism surrounding content intelligence, breaks down its processes and outlines the ways in which it is the logical step beyond the storage and cataloguing of content. It homes in especially on the media industry and its wealth of video content that can be enriched with this type of analysis.

Keywords: digital asset management; DAM; content intelligence; video analysis; annotation; tagging; meta-tagging (search for similar items in EconPapers)
JEL-codes: M11 M15 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:aza:jdmm00:y:2019:v:8:i:1:p:58-67

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