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Culture Convergence (CC)

Transforming Text into Video: A Proposed Methodology for Video Production Using the VQGAN-CLIP Image Generative AI Model

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초록

영어

With the development of AI technology, there is a growing discussion about Text-to-Image Generative AI. We presented a Generative AI video production method and delineated a methodology for the production of personalized AI-generated videos with the objective of broadening the landscape of the video domain. And we meticulously examined the procedural steps involved in AI-driven video production and directly implemented a video creation approach utilizing the VQGAN-CLIP model. The outcomes produced by the VQGAN-CLIP model exhibited a relatively moderate resolution and frame rate, and predominantly manifested as abstract images. Such characteristics indicated potential applicability in OTT-based video content or the realm of visual arts. It is anticipated that AI-driven video production techniques will see heightened utilization in forthcoming endeavors.

목차

Abstract
1. Introduction
2. Text-to-Image Generative AI and Video
3. Video Image Creation and Video Production Process Using VQGAN-CLIP
3.1 Subject of Research
3.2 Video Production Process Using Generative AI
4. Designing Video Production with the VQGAN-CLIP Model
4.1 System and Input Value Settings
4.2 Video Output
4.3 Proposal for a Production Methodology of Video Imagery Outcomes Using Generative AI
5. Conclusion
Reference

저자정보

  • SukChang Lee Prof., Dept. of Digital Contents, Konyang Univ., Korea

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