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News Content Highlight via Fast Caption Text Detection on Compressed Video

机译:新闻内容通过压缩视频上的快速字幕文本检测突出显示

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摘要

Captions present in video frames play an important role in understanding video content. This paper presents a fast algorithm to automatically detect captions in MPEG compressed video. It is based on statistics features of caption text's chrominance components. The paper also discusses its principle and speed-up mechanism in detail. We have successfully exploited the technique to automatically construct the pictorial catalogue, a new content representation. Experiment results show the proposed caption detection algorithm has not only the ideal accuracy 96.6% and recall 100%, but also a detection speed of faster than real time.
机译:视频帧中的字幕在理解视频内容中起着重要作用。本文提出了一种自动检测MPEG压缩视频字幕的快速算法。它基于字幕文本的色度分量的统计功能。本文还详细讨论了其原理和加速机制。我们已经成功地利用了该技术来自动构建图片目录(一种新的内容表示形式)。实验结果表明,所提出的字幕检测算法不仅具有96.6%的理想准确率和100%的查全率,而且检测速度比实时检测还快。

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