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Research on K-Contents Production Technology Using Generative AI

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초록

This study is about the use of generative AI in the production of K-content, a term referring to various media contents in Korea. In particular, it emphasizes the innovative influence of AI technology in all stages of video content production, including pre-production, production, and post-production. By leveraging AI-based tools for tasks such as script writing, trend analysis, casting, scene editing, and visual effects, producers can enhance creativity, increase efficiency, and improve production quality. Key findings show that generative AI can significantly streamline production processes by automating repetitive tasks, generating novel and creative ideas, and ensuring consistency of quality. For example, AI tools can assist with script writing and storyboard, while facial recognition algorithms and geographic data analysis can recommend actor casting and locations. During post-production, AI-based video editing and visual effects tools can be utilized to enhance the narrative cohesion and visual appeal of content, while generative audio tools can create custom sound effects. The significance of this paper is that it explores the potential of generative AI in K-content production and explores implications for the K-content industry to further grow and prosper in the global market in the future.

Abstract

This study is about the use of generative AI in the production of K-content, a term referring to various media contents in Korea. In particular, it emphasizes the innovative influence of AI technology in all stages of video content production, including pre-production, production, and post-production. By leveraging AI-based tools for tasks such as script writing, trend analysis, casting, scene editing, and visual effects, producers can enhance creativity, increase efficiency, and improve production quality. Key findings show that generative AI can significantly streamline production processes by automating repetitive tasks, generating novel and creative ideas, and ensuring consistency of quality. For example, AI tools can assist with script writing and storyboard, while facial recognition algorithms and geographic data analysis can recommend actor casting and locations. During post-production, AI-based video editing and visual effects tools can be utilized to enhance the narrative cohesion and visual appeal of content, while generative audio tools can create custom sound effects. The significance of this paper is that it explores the potential of generative AI in K-content production and explores implications for the K-content industry to further grow and prosper in the global market in the future.

참고문헌 (5)

  1. Jinyi Jung, "Development of K-Visual Image Contents using Sea in Gangneung", Literary Criticism, 90, pp.277~303 (2023)
  2. Donghan Jeon, "Combination and Evolution of Metaverse and Contents : A Study on the Southeast Asia K-Contents Market Analysis", Korea International Commercial Review, 37(2), pp.281~299 (2022)
  3. Sehyun Kim, "Create and analyze Text-to-Video content with Generative AI", The Korean Institute of Broadcast and Media Engineers Fall Conference (2023)
  4. Yunchao Zhang, "A Curriculum Proposal for Diversified Convergent Content Production", Creation through Generative AI-Focusing on Video Content, 2024, pp.87, 296~311
  5. Insun Jung, "Film Production Using Generative Artificial Intelligence and its Aesthetic Possibilities", Preview, 21(1), pp.137~159 (2024)

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