视频文字识别(videoopticalcharacterrecognition,Video-OCR)的关键环节是视频文字检测。该文提出一套文字检测与定位算法,综合应用文字的梯度、 .
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其实，把视频里的音轨用语音识别转化成文字索引并时间编码的技术已经有了。
The technology for converting the audio tracks of video via speech recognition to plain text indexed to time-code has been around for a while.
文字信息在描述图象内容时起着重要的作用，因此文字提取及识别是基于内容视频检索的关键技术。
Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.
本文研究的是视频文字的提取和识别，主要包括视频文字定位、跟踪和分割三部分算法及关键技术的研究。
This paper studies the video text extraction and recognition. The main parts are the algorithm and key technology of text localization, text tracking and text segmentation.
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