Structure Analysis on Common Plot in Four-Scene Comic Story Dataset
Structure Analysis on Common Plot in Four-Scene Comic Story Dataset
复制标题
四场景漫画故事数据集中常见情节的结构分析
DOI：
10.1007/978-3-030-05716-9_56
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Miki Ueno
中科院分区：
文献类型：
--
作者：
Zheng Ye;Shugo Nitta;Kentaro Nagamatsu;Naoki Fujimoto;Maki Kushimoto;Manato Deki;Atsushi Tanaka;Yoshio Honda;Markus Pristovsek;Hiroshi Amano;Miki Ueno
漫画是最具吸引力的创作内容之一，它兼具图像成分和文字特征。特别是我一直专注于四场景漫画，这些漫画可以用简单而清晰的结构来代表故事。我的研究目标之一是促进创作者和人工智能之间的合作。为了对该领域做出贡献，我提出了具有创作过程和元数据的原始四场景漫画数据集。根据现有的漫画作品，界定了漫画的结构和内容的典型模式。我提供了角色和一些信息，以保持基于十个情节的两种结构类型的常见二十个场景的平衡。该数据集包含100种四场景漫画，以保留图层信息和五位艺术家的几个注释。因此，可以分析常见场景中的各种表达。在这项研究中，我展示了创建数据集的过程。然后描述了数据集的特征和计算实验的结果。
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.
电脑可以创作漫画和动画吗
DOI：
10.4018/978-1-5225-0432-0.ch006
发表时间：
2016
期刊：
--
影响因子：
--
作者：
Miki Ueno;Kiyohito Fukuda;N. Mori
通讯作者：
N. Mori
DOI：
10.1145/3011549.3011558
发表时间：
2016
期刊：
Proceedings of the 1st International Workshop on coMics ANalysis, Processing and Understanding
影响因子：
--
作者：
Miki Ueno;N. Mori;Toshinori Suenaga;H. Isahara
通讯作者：
H. Isahara
影响因子：
3.6
作者：
Matsui, Yusuke;Ito, Kota;Aizawa, Kiyoharu
通讯作者：
Aizawa, Kiyoharu