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Comic storyboard extraction via edge segment analysis

机译:通过边缘片段分析提取漫画情节提要

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摘要

Comic storyboard extraction aims to decompose the comic image into several storyboards (or frames), which is the key technique to produce the digital comic documents suitable for mobile reading. Previous methods fail either to detect overlapped storyboards or to produce storyboards without blank margins. To tackle these problems, we propose a novel comic storyboard extraction method based on edge segment analysis. First, we extract edge segments (i.e. contiguous chains of Canny edge points) from the input comic image; second, we detect line segments within each obtained edge segment with a top-down scheme; third, we detect storyboards through line segments combination and storyboard validation, and perform post-processing to handle some special cases. We test the proposed method on two datasets comprising 2237 comic pages from 11 printed comic series. Experimental results demonstrate that the proposed method achieves satisfactory results and outperformed the existing methods on the storyboard and page level.
机译:漫画情节提要板提取旨在将漫画图像分解为几个情节提要板(或框架),这是生产适合移动阅读的数字漫画文档的关键技术。先前的方法无法检测重叠的情节提要或生成没有空白边距的情节提要。为了解决这些问题,我们提出了一种基于边缘片段分析的新颖漫画情节提要提取方法。首先,我们从输入的漫画图像中提取边缘段(即Canny边缘点的连续链);其次,我们采用自顶向下的方案检测每个获得的边缘段内的线段。第三,我们通过线段组合和情节提要验证来检测情节提要,并执行后处理以处理某些特殊情况。我们在包含11个印刷漫画系列的2237个漫画页面的两个数据集上测试了该方法。实验结果表明,该方法取得了令人满意的结果,并且在情节提要和页面级别上均优于现有方法。

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