Classification of Two Comic Books based on Convolutional Neural Networks

Miki UENO, Toshinori SUENAGA, Hitoshi ISAHARA
2017 Advances in Distributed Computing and Artificial Intelligence Journal  
Computational model of comics; Comic engineering Unphotographic images are the powerful representations described various situations. Thus, 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 Convolutional neural features, features relating to continuous scene etc., was pursued. Especially, the length network and
more » ... ength network and each scene of four-scene comics are limited so as to ensure a clear interpretation of the contents. In this study, as the first step in this direction, the problem to classify two four-scene comics by the same artists were focused as the example. Several classifiers were constructed by utilizing a Convolutional Neural Network (CNN), and the results of classification by a human annotator and by a computational method were compared. From these experiments, we have clearly shown that CNN is efficient way to classify unphotographic gray scaled images and found that characteristic features of images to classify incorrectly.
doi:10.14201/adcaij201761512 fatcat:nvddjh6pc5fy3icij5pxyxsdru