Computational interpretation of comic scenes

Abstract

Understanding intellectual products such as comics and picture books is one of the important topics in the field of artificial intelligence. Hence, stepwise analysis of a comic story, i.e., features of a part of the image, information features, features relating to continuous scene etc., by human and by a combination of several classifiers was pursued. As the first step in this direction, several classifiers for comics are constructed in this study by utilizing a convolutional neural network, and the results of classification by a human annotator and by a computational method are compared.