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EXTRACTION OF SUPERIMPOSITION WHEN THE COLOR OF CHARACTERS ARE SIMILAR TO THE BACKGROUND

机译:当字符的颜色与背景相似时,提取多余的字符

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摘要

Superimposition in videos is one of the most important information to make indexes of image contents automatically. In the case of license plates or signboards, it is easy to distinguish characters from the background by using the brightness. The reason is that they usually have two different colors assigned to characters and the background. On the other hand, in the case of superimposition, it is difficult to separate them by using only the brightness because it has not a monotone background color like signboards. In this paper, we propose a new method to extract superimposition from videos based on the information of edge and labeling images. Applying the method to 19 kinds of super imposition of a real video, we extracted almost every characters.
机译:视频中的叠加是自动为图像内容建立索引的最重要信息之一。在车牌或招牌的情况下,通过使用亮度很容易将字符与背景区分开。原因是它们通常将两种不同的颜色分配给字符和背景。另一方面,在重叠的情况下,由于其不具有像招牌那样的单调背景色,因此仅通过亮度难以分离。在本文中,我们提出了一种基于边缘和标签图像信息从视频中提取叠加的新方法。将该方法应用于19种实际视频的超级拼版中,我们几乎提取了每个字符。

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