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Thesis

The iterative frame: algorithmic video editing, participant observation and the black box

Abstract:

Machine learning is increasingly involved in both our production and consumption of video. One symptom of this is the appearance of automated video editing applications. As this technology spreads rapidly to consumers, the need for substantive research about its social impact grows. To this end, this project maintains a focus on video editing as a microcosm of larger shifts in cultural objects co-authored by artificial intelligence. The window in which this research occurred (2010-2015) s...

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Department:
Ruskin School of Art
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Author

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Department:
Actor in Portfolio of Thesis
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Contributor
Department:
Ruskin School of Art
Role:
Supervisor
Department:
Ruskin School of Art
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Supervisor
Role:
Supervisor
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Funding agency for:
Robert S. Rapoport
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Grant:
Graduate Scholarship
Funding agency for:
Robert S. Rapoport
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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