感叹号直方图及其在漫画分析中的应用

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) Pub Date : 2017-11-01 DOI:10.1109/ICDAR.2017.294

Sotaro Hiroe, S. Hotta

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引用次数: 1

摘要

本文提出了一种通过统计漫画中感叹号数量而形成的直方图，用于漫画分析。在漫画书中，感叹号是用来表达人物情感的，经常出现在激动人心的场景中。他们也很容易从不同作者写的不同漫画书中发现。因此，我们将每个漫画书的感叹号分布表示为直方图，并使用该直方图进行主题变化检测和漫画书之间关系的可视化。在真实漫画书上的实验结果表明，我们的大胆方法具有利用所提出的直方图近似漫画书内容的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Histogram of Exclamation Marks and Its Application for Comics Analysis

This paper proposes a histogram formed by counting the number of exclamation marks in comic books for comics analysis. Exclamation marks in comic books are used for expressing character's emotion and are depicted in frequently excited scenes. Also they are easy to detect from different comic books written by various authors. Hence we represent each comic book by its distribution of exclamation marks as a histogram and use such histogram for topic change detection and visualization of relationships between comic books. Experimental results on real comic books show that our bold approach has potential for approximating of contents of comic books by using the proposed histograms.

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来源期刊

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

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