Detection of text captions in compressed domain video

Yi Zhang, Tat-Seng Chua
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引用次数: 28

Abstract

In this paper, we propose a new method for detecting text captions in MPEG video stream. It is based on the observation that text captions in video frames typically possess high contrast against the background for them to be visible. The method operates on DCT coefficients in MPEG domain. The main contribution of this work is in developing a binarzied contrast feature domain in which the presence of text in video frames can be highlighted. A weighting function is defined to deduce the probability of a text frame. From the set of representative text frames located, further techniques are developed to outline, segment, and recognise text captions. The techniques have been tested on commercial and news videos from the MPEG7 data set and local TCS news video. The results demonstrate that our approach is effective in detecting and locating text captions in general video.
压缩域视频中文本字幕的检测
本文提出了一种检测MPEG视频流中文本字幕的新方法。这是基于观察视频帧中的文本字幕通常与背景具有高对比度以使其可见。该方法对MPEG域的DCT系数进行运算。这项工作的主要贡献是开发了一个二值化的对比度特征域,其中视频帧中文本的存在可以突出显示。定义一个加权函数来推断文本框架的概率。从一组有代表性的文本框架中,进一步开发了概述、分割和识别文本标题的技术。这些技术已经在MPEG7数据集的商业和新闻视频以及本地TCS新闻视频上进行了测试。结果表明,我们的方法对一般视频中的文本字幕检测和定位是有效的。
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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