2019 Volume 58 Issue 5 Pages 545-551
In the field of image engineering, this paper introduces that four-scene comics is the one of the most attractive media, which contains complex problems. Especially, four-scene comics is multi-modal contents which is composed of images and languages, the length and the shape is limited so that there has stereotyped patterns. Despite the numbers of scenes is shorter than other types of comics, the comic artists can draw various kinds of stories. Thus, the artists should select appropriate complex objects to draw emotions and background knowledge in daily scenes, cross-domain technologies are required to comprehend stories. In other words, the researchers can find novel technologies by focused on these contents. This paper describes the my research project of “Developing a Dataset and Framework to Analyse Stories in Four-scene Comics Using Deep Neural Networks” adopted as one of projects of JST ACT-I in 2017.
