Line-Based Drawing Style Description for Manga Classification

Diversity of drawing styles of mangas can be easily perceived by humans, but are hard to be described in text. We design computational features derived from line segments to describe drawing styles, enabling style classification such as discriminating mangas targeting youth boys and youth girls, and discriminating artworks produced by different artists. With statistical analysis, we found that drawing styles can be effectively characterized by the proposed features such that explicit (e.g., density of line segments) or implicit (e.g., included angles between lines) observations can be made to facilitate various manga style classification.