인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study proposed a classification of emerging artificial intelligence animations based on the latest technology. A method of understanding the status of artificial intelligence animation in animation was systematized by using a taxonomic hierarchy categorized. Therefore the hierarchical structure of library science's document classification system was used as an example. A theoretical basis was also established through Lev Manovich of media studies. The research methodology used qualitative research methods to present theoretical background and case analysis was conducted using quantitative research methods. The subject of the case is artificial intelligence animation produced between 2023 and 2024. The selection method was to select five works from 2024 in reverse chronological order of production time. As a result of the study, the classification of artificial intelligence animation in animation was found to be L0 Animation(A) and then, L1 digital animation (L1-D·A). The L2 was computer-generated image animation (L2-CGI·A), and the final L3 was AI animation (L3-AI·A). Thus, in this paper, AI animation was newly identified from the animation perspective. In future research, I planning to conduct research on the cultural content of AI animation based on the results of this paper.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-25-02-092169437