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.
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© 2016 Springer International Publishing Switzerland
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Ueno, M. (2016). Computational Interpretation of Comic Scenes. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_42
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DOI: https://doi.org/10.1007/978-3-319-40162-1_42
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-40162-1
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