Earticle

초록

영어

While generative AI's Video-to-Video technology has rapidly advanced, challenges remain in video production requiring complex camera movements and precise angle control. This study proposes a workflow that validates precise camera control by inputting reference videos created with Unity game engine into Video-to-Video generative AI. We designed five camera control missions (120⁰ rotation, vertical crane shot, compound dolly zoom, spiral orbit, and multi-angle transition) and created reference videos using Unity for each mission, then generated final videos using Runway Gen-3's Video-to-Video functionality. Focus group interviews with 5 video production experts showed that Unity references accurately conveyed camera movements across all missions (average 4.6/5 points), maintaining high accuracy (4.5 points) even in complex spiral orbit missions. Experts identified frame-level precise control, ease of iterative modification, and predictable results as key advantages, with all participants expressing intention to apply this in professional practice. This study empirically demonstrates that game engine-based reference generation is a practical solution to camera control challenges in generative AI video production.

목차

ABSTRACT
1. 서론
2. 관련 연구
3. Unity 레퍼런스 기반 Video-to-Video 워크플로우
4. 과제의 설계
5. 실험방법
6. 실험결과
6.1 카메라 제어 과제의 결과
6.2 시나리오 구현 과제의 결과
6.3 정성적 평가 결과
6.4 포커스 인터뷰 결과
7. 결과 분석
8. 결론
참고문헌

키워드

저자

• Joohun Lee [ 이주헌 | Department of New Media Contents, Dong-Ah Institute of Media and Arts, Anseong, Gyeonggi-do, Korea ] Corresponding Author
• Ok-Hue CHO [ 조옥희 | Department of Animation, College of Convergence Engineering, 20 Hongjimun 2-gil, Jongno-gu, Seoul, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  컴퓨터게임및콘텐츠논문지(구 한국컴퓨터게임학회논문지) [Journal of Computer Games and Contents]

• 간기

  월간

• pISSN

  3091-7409

• eISSN

  3092-3638

• 수록기간

  2002~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 691 DDC 793