The Classification System of an Artificial Intelligence Animation through Taxonomy
Year: 2024
Type: article
Abstract: 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.
Authors: Ming Yang, Myeong-Sam Kim
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4406747552