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The Implementation of Long Take in AI Video: Technical Approaches and Aesthetic Exploration
University of Skövde, School of Informatics.
2025 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This study examines the application of long takes in AI video, with a focus on technical approaches and aesthetic concerns. Through the use of AI video generation tools, this study discusses how AI may simulate traditional long-take filmmaking. Chief challenges include stability of motion trajectories, spatial consistency, and narrative consistency.

The study employs experimental research, literature review, and visual analysis to assess the feasibility of AI-generated long takes. By means of technical experimentation and audience perception research, this study will determine the limitations and advantages of AI-based long takes and propose optimization strategies. The outcome will progress AI cinematography by offering insights into its possible application in filmmaking, virtual production, and automated narrative.

Place, publisher, year, edition, pages
2025. , p. 30, vii
Keywords [en]
AI video, long take, virtual cinematography, AI video generation
National Category
Artificial Intelligence Film Film Studies
Identifiers
URN: urn:nbn:se:his:diva-25454OAI: oai:DiVA.org:his-25454DiVA, id: diva2:1982192
Subject / course
Media, Aesthetics and Narration
Educational program
Digital Narration: Game and Cultural Heritage - Master's Programme
Supervisors
Examiners
Available from: 2025-07-07 Created: 2025-07-07 Last updated: 2025-09-29Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
  • rtf