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Text Detection in Video for Video Indexing

机译:视频索引视频中的文本检测

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Automatic text detection in video is an important task and a prerequisite for video retrieval, annotation, recognition, indexing and content analysis. Video OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Major difficult problem for character recognition for videos is degraded and deformated characters, low resolution characters or very complex background. To tackle the problem preprocessing on text image plays vital role. Most of the OCR engines are working on the binary image so to find a better binarization procedure for image to get a desired result is important. Accurate binarization process minimizes the error rate of video OCR.
机译:视频中的自动文本检测是视频检索,注释,识别,索引和内容分析的重要任务和先决条件。视频OCR是一种技术,可以通过自动提取和读取标题和注释来实现视频中感兴趣的主题。视频中的文本可以提供密钥索引信息。识别搜索应用程序的这些文本至关重要。用于视频的角色识别的主要难题是劣化和变形的字符,低分辨率字符或非常复杂的背景。解决预处理文本图像的问题扮演重要角色。大多数OCR发动机正在研究二进制图像,以便为图像找到更好的二值化过程,以获得所需的结果是重要的。精确的二值化过程可最大限度地减少视频OCR的错误率。

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