基于人物出场序列的漫画人物特征群估计

Kodai Imaizumi, Ryosuke Yamanishi, Yoko Nishihara, Takahiro Ozawa
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引用次数: 3

摘要

本文提出了一种估计漫画中任意时期的一组特征人物的方法。漫画有很多吸引人的方面,比如插图和引言。故事情节是漫画的魅力之一,它使我们能够在漫画中欣赏戏剧。在漫画中,故事是由人物的活动驱动的,这些活动以多媒体的形式表现出来:情感、言语和其他一些动作。本文首先对给定时期的一组特征人物进行估计,作为识别故事情节的第一步。为了使用该工具计算漫画的故事情节,所提出的方法使用每页的角色出现序列。实验表明,该方法在估计特征字符组方面优于比较方法,平均f值为0.82,而比较方法的平均f值为0.67和0.48。结果表明,相对容易获得的人物出场序列足以捕捉到故事的简短故事情节,即故事中的特色人物。
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Estimating Groups of Featured Characters in Comics with Sequence of Characters' Appearance
This paper proposes a method to estimate a group of featured characters during an arbitrary period in comics. Comics have so many aspects of attractiveness such as illustrations and quotes. The storyline, which is one of the attractive of comics, enables us to enjoy the dramas in comics. In comics, the story is driven by characters' activities represented in multimedia forms: emotion, speech, and some other actions. This paper, as a first step to recognize the storyline, tackles the estimation of a group of featured characters in a given period. To compute the storyline of comics with the facility, the proposed method uses a sequence of characters' appearances for each page. The experiment showed that the proposed method outperformed the comparative methods in estimating groups of featured characters with a 0.82 F-value on average while comparative methods showed 0.67 and 0.48. The results showed that sequences of characters' appearance, which are relatively easy to obtain, were sufficient to catch the brief storyline i.e. featured characters in a story.
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
23
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