Computational Interpretation of Comic Scenes

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.