基于灰度的新闻视频文本提取方法

F. Xiaoling, Gao Hua
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引用次数: 6

摘要

在新闻视频中,视频文本作为一种高级的语义特征,对新闻视频的语义理解、视频分析、快速视频剪辑检索起着至关重要的作用。提出了一种新的基于灰度的视频字符提取方法。它充分利用视频图像的灰度信息和新闻视频的文本特征来检测含有文本信息的视频帧,并利用数理统计的方法找到文本出现的位置,然后对候选区域图像进行二值处理,最后使用OCR软件包对文本进行识别。本文还完成了一个简单的新闻视频检索系统,并将文本提取算法应用到系统中。在中国CCTV新闻视频上的实验结果表明了该算法令人鼓舞的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gray-based news video text extraction approach
In the news video, As a high-level semantic features, video text play a crucial role for the semantics understanding, video analysis, quick video clips retrieval of news video. We propose a new video character extraction method that is gray-based. It makes full use of gray information of the video image and the news video text features to detect the video frame which contain text information, and uses mathematical statistical method to find the location where text appears, then do the binary processing of the candidate region image, at last uses OCR software package to recognize the text. This article also finish a simple news video retrieval system, and text extraction algorithm is applied to the system. Experiment results on Chinese CCTV news video show the encouraging performance of the proposed algorithm.
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