Video Production with Generative AI

Metadata

Publisher: SMPTE
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Motion Imaging Jour.
Volume: 134, No. 2, pp. 37–42
Abstract: There are many kinds of Generative AI (GenAI) models, from audio to text generation models. However, video generation models (VGMs) are foundational for video production and are gaining importance as their expressiveness increases. VGMs differ from other GenAI models in that VGM users must have domain-specific knowledge to leverage VGMs to express their artistic vision optimally. Specifically, it can be demonstrated that VGM users must know the basics of the visual language of cinematography to translate their creative vision into quality output correctly. Prompt engineering is used to craft VGM output into something useful and aesthetically viable. Using prompt engineering, it is possible to ask a VGM to instantiate the basic elements of cinematography, such as camera placement, camera movement, shot composition, shot size, focus/depth of field, and lighting. Besides VGMs, other GenAI models are useful for pre-and post-production tasks.
Publication Date: 2025-04-01
DOI: 10.5594/JMI.2025/GGBP2184
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/JMI.2025/GGBP2184
Author(s): Brent Rabowsky
Keyword(s): Generative AI, GenAI, Video Generation, Prompt Engineering
Copyright: © 2025 SMPTE

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Brent Rabowsky; Video Production with Generative AI, MIJ 2025, Volume 134, Number 2 (pp. 37 to 42); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/GGBP2184

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Brent Rabowsky; Video Production with Generative AI, MIJ 2025, Volume 134, Number 2 (pp. 37 to 42); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/GGBP2184

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Brent Rabowsky; Video Production with Generative AI, MIJ 2025, Volume 134, Number 2 (pp. 37 to 42); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/GGBP2184

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<span class="citation">Brent Rabowsky; <cite>Video Production with Generative AI</cite>, MIJ 2025, Volume 134, Number 2 (pp. 37 to 42); SMPTE, 2025. Available at <a href="https://doi.org/10.5594/JMI.2025/GGBP2184" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2025/GGBP2184</a></span>

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Brent Rabowsky; Video Production with Generative AI, MIJ 2025, Volume 134, Number 2 (pp. 37 to 42); SMPTE, 2025
doi: 10.5594/JMI.2025/GGBP2184
url: https://doi.org/10.5594/JMI.2025/GGBP2184

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<li>
Brent Rabowsky; <cite id="bib-10-5594-jmi-2025-ggbp2184">Video Production with Generative AI</cite>, MIJ 2025, Volume 134, Number 2 (pp. 37 to 42); SMPTE, 2025
<span class="doi">10.5594/JMI.2025/GGBP2184</span>
</li>