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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的快速标题文本检测突出显示

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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:视频帧中存在的标题在了解视频内容中发挥着重要作用。本文介绍了一种快速算法,可自动检测MPEG压缩视频中的字幕。它基于标题文本的色度组件的统计特征。本文还详细讨论了其原理和加速机制。我们已成功利用该技术来自动构建图像目录,新内容表示。实验结果表明,所提出的标题检测算法不仅具有96.6%的理想精度,还记得100%,但也比实时更快的检测速度。

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