Structure Analysis on Common Plot in Four-Scene Comic Story Dataset
Comic is the one of the most attractive creative contents and it contains both components of image and words features. Especially, I have been focused in four-scene comics which can represent stories with the simple and clear structure. One of my aims of the researches is to promote collaboration between creators and artificial intelligence. To contribute for the field, I have proposed the original four-scene comics dataset with creative process and meta-data. According to the existing comics, I defined the typical patterns of structure and contents. I provided the character and several information to keep balance of common twenty scenarios based on two types of structure for ten plots. The dataset contains 100 kinds of four-scene comics to keep layer information and several annotations by five artists. Thus, it can be analyzed various expressions in common scenarios. In this research, I show the procedure of creating the dataset. Then, I describe the features of the dataset and results of computational experiment.
KeywordsStory patterns of four-scene comics Contents creators and artificial intelligence Creating process Deep learning Comic computing
I thank to the comic artists and Spoma Inc. to corporate with this research. This work is supported by ACT-I, JST. Grant Number: JPMJPR17U4. A part of this work was supported by JSPS KAKENHI Grant, Grant-in-Aid for Scientific Research(C), 26330282.
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