Data Modelling and Analysis of Sequential Images Used in Comic Books

Tu Xing, Yang Qian, Zhang Hongyu

2022

Abstract

Sequential images used in comic books are not simple cases of composing single images together. The motivated sequential images contained meaningful information to attract people and suit their reading behaviour. Previous research argued that the way of sequential images used in comics belong to a visual language used in the visual narratives, and panel transitions between sequential images in comics have been considered as a basic structure of visual language. Our study used major types of panel transitions to research the difference of visual language usage between the genres of seinen and shonen comics through accounting their frequency of appearance in 18 books. The results showed that each type of panel transitions recur in both genres of comics. However, some of the particular panel transitions have been found different proportions of usage in each genre, which implies that each genre constitutes their own preference of the structure of visual language.

Paper Citation

in Harvard Style

Xing T., Qian Y. and Hongyu Z. (2022). Data Modelling and Analysis of Sequential Images Used in Comic Books. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 699-702. DOI: 10.5220/0012018000003612

in Bibtex Style

@conference{isaic22,
author={Tu Xing and Yang Qian and Zhang Hongyu},
title={Data Modelling and Analysis of Sequential Images Used in Comic Books},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={699-702},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012018000003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Data Modelling and Analysis of Sequential Images Used in Comic Books
SN - 978-989-758-622-4
AU - Xing T.
AU - Qian Y.
AU - Hongyu Z.
PY - 2022
SP - 699
EP - 702
DO - 10.5220/0012018000003612
PB - SciTePress