一种基于边缘的视频文本提取方法

Shi Jianyong, Luo Xiling, Zhang Jun
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引用次数: 17

摘要

视频文本是一种简洁而有效的视频索引和摘要线索。本文提出了一种低计算量的基于边缘的视频文本提取方法,可以自动检测和提取复杂视频帧中的文本。我们首先检测强度图像及其二值化图像的边缘映射,并将两者合并为一个边缘映射,该边缘映射包含较少的背景边缘像素,但丰富了文本边缘像素。然后,利用投影轮廓法对得到的边缘图在水平和垂直方向上的分布进行评估。在两个方向上,应用自适应阈值方法来识别包含文本的相邻像素行和列。这些行和列的交点被提取为文本区域。最后,提出了一种基于文本单色性的区域提取方法。提取方法的输出可以直接馈入OCR。通过一组视频片段和静态图像的实验结果证明了该方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Edge-Based Approach for Video Text Extraction
Text in video is a compact but effective clue for video indexing and summarization. In this paper, we propose an edge-based video text extraction approach with low computation, which can automatically detect and extract text from complex video frames. We first detect the edge maps of both an intensity image and its binarized image, and merge the two into one edge map, which contains less edge pixels of background but enriched edge pixels of text. Then, the projection profile method is used to evaluate the distribution of the resulting edge map in both horizontal and vertical directions. In both directions, an adaptive thresholding method is applied to identify adjacent pixel rows and columns which contain text. The intersections of these rows and columns are extracted as text regions. Finally, a novel extraction method based on monochromatism of text is applied to the regions. The output of the extraction method can be directly fed to OCR. The performance of our approach is demonstrated by presenting experimental results for a set of video clips and static images.
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