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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Authors
Contributors
+ Grawert, B
- Department:
- Actor in Portfolio of Thesis
- Role:
- Contributor
+ Gardner, A
- Institution:
- University of Oxford
- Division:
- HUMS
- Department:
- Ruskin School of Art
- Role:
- Supervisor
+ Martin, D
- Institution:
- University of Oxford
- Division:
- HUMS
- Department:
- Ruskin School of Art
- Role:
- Supervisor
+ Reed-Tsocha, K
- Role:
- Supervisor
+ St Catherine's College
More from this funder
- Funding agency for:
- Rapoport, RS
- Grant:
- Graduate Scholarship
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- UUID:
-
uuid:8339bcb5-79f2-44d1-b78d-7bd28aa1956e
- Deposit date:
-
2017-05-11
- ARK identifier:
Terms of use
- Copyright holder:
- Rapoport, R
- Copyright date:
- 2016
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