Research on Hybrid Film Production Focusing on the Combination of Actual Footage and AI Footage: Focusing on the Short Film <JOY>

Amidst the recent paradigm shift in the film industry driven by generative AI technology, this study proposes and analyzes a production workflow for ‘hybrid films’ that combine live-action footage with AI-generated video, verifying its effectiveness through the actual production case of the short film <JOI>. This research centers on a production method that cross-edits live-action footage, which depicts objective reality, with generative AI video that expresses the subjective inner world of the AI protagonist. Specifically, <JOI> applied AI in four domains, including generating weather conditions linked to the audience’s IP address and creating animal performances that were impossible to direct. The results showed that the proposed five-step workflow achieved significant success in terms of expanding creative expression and production efficiency. However, it also revealed clear technical limitations, such as maintaining visual consistency between live-action footage and AI-generated results, and the uncertainty of controlling the AI. Ultimately, the significance of this study lies in its contribution of a practical production process as research data for future creators, and in its exploration of the potential for a new cinematic aesthetic that visualizes the psychology of a non-human subject through AI.

Authors

Publication Details

Journal
Journal of Korea Multimedia Society
Published
2025-08-31
DOI
https://doi.org/10.9717/kmms.2025.28.8.1170
Primary Topic
Asian Culture and Media Studies
Type
article
Field-Weighted Citation Impact
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article

Research on Hybrid Film Production Focusing on the Combination of Actual Footage and AI Footage: Focusing on the Short Film <JOY>

Jeong-Hwan Kim, Young-Ju Lee
Journal of Korea Multimedia Society
Asian Culture and Media Studies
article

Research on Hybrid Film Production Focusing on the Combination of Actual Footage and AI Footage: Focusing on the Short Film <JOY>

Jeong-Hwan Kim, Young-Ju Lee
article en

Abstract

Amidst the recent paradigm shift in the film industry driven by generative AI technology, this study proposes and analyzes a production workflow for ‘hybrid films’ that combine live-action footage with AI-generated video, verifying its effectiveness through the actual production case of the short film <JOI>. This research centers on a production method that cross-edits live-action footage, which depicts objective reality, with generative AI video that expresses the subjective inner world of the AI protagonist. Specifically, <JOI> applied AI in four domains, including generating weather conditions linked to the audience’s IP address and creating animal performances that were impossible to direct. The results showed that the proposed five-step workflow achieved significant success in terms of expanding creative expression and production efficiency. However, it also revealed clear technical limitations, such as maintaining visual consistency between live-action footage and AI-generated results, and the uncertainty of controlling the AI. Ultimately, the significance of this study lies in its contribution of a practical production process as research data for future creators, and in its exploration of the potential for a new cinematic aesthetic that visualizes the psychology of a non-human subject through AI.

Journal of Korea Multimedia SocietyVol. 28(8)
Openalex Percentile: Top 70%
Asian Culture and Media Studies
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Research on Hybrid Film Production Focusing on the Combination of Actual Footage and AI Footage: Focusing on the Short Film &lt;JOY&gt; — Jeong-Hwan Kim, Young-Ju Lee · Journal of Korea Multimedia Society (2025) | TGRS Research Map | TGRS