首页> 外文会议>Proceedings of the International Conference on Imaging Science, Systems, and Technology (CISST'2000) >Chinese Optical Character Recognition for Information Extraction from Video Images
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Chinese Optical Character Recognition for Information Extraction from Video Images

机译:用于从视频图像中提取信息的中文光学字符识别

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A number of research work on text extraction from videos is conducted in these few years, but not many focus on the Chinese language. Due to different characteristics between Chinese and English, new methods are urgently needed for Chinese character extraction. We are applying optical character recognition (OCR) techniques to video frames, and trying to extract character texts from videos. By doing this, we can automatically convert video contents to text, and then exploit the Chinese subtitles for indexing and searching in a digital video library. This paper covers ways we filter the heavy noise and segment out each Chinese character in video segments. We also describe how we perform the optical character recognition for Chinese and evaluate its performance. Some future work will also be described.
机译:近年来,已经进行了许多有关从视频中提取文本的研究工作,但很少有研究重点是中文。由于中英文之间的差异,迫切需要新的汉字提取方法。我们正在将光学字符识别(OCR)技术应用于视频帧,并尝试从视频中提取字符文本。这样,我们可以自动将视频内容转换为文本,然后利用中文字幕在数字视频库中进行索引和搜索。本文介绍了我们如何过滤沉重噪音并在视频片段中对每个汉字进行分割的方法。我们还将描述如何执行中文的光学字符识别并评估其性能。还将描述一些将来的工作。

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