Cartoon Extraction Mechanism via UML Model Based on Natural Language Requirement Specs

Recently, research on the development of artificial intelligence, in particular generative AI, has been active around the current world. Recent research mainly focuses on generating various types of outputs (text, image, video, etc.) from natural language textual inputs. However, understanding the meaning of these prompts in AI remains a challenge. In this paper, we propose a mechanism for extracting Cartoon images via UML Models based on natural language-based specifications, mapping a cut image's cartoon elements with UML properties extracted through linguistic textual analysis in software engineering. We expect software engineers to automatically help toon writers generate a cartoon's image with linguistic mechanisms.