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An efficient scheme for detecting MSER regions and text localization in video

机译:检测视频中MSER区域和文本本地化的有效方案

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In the present period of IT and correspondence innovation, use of video based data is expanding enormously. Efficient algorithms are very highly demanded Detection of scene text and caption text in the video in the area of image processing. Every single video contains some imperative data which should be separated without losing any data from the video, much consideration is currently given to the video processing innovation. In this paper, A method has been proposed to efficiently extract the frames from the videos based on color moments and then detecting Maximally Stable Extremely Regions (MSER). This method is done only on key frames which will work until text localization. This method is helped in reducing the processing time of algorithm for text localization.
机译:在当前的IT和通信创新时期,基于视频的数据的使用正在极大地扩展。在图像处理领域中,非常需要高效的算法来检测视频中的场景文本和字幕文本。每个视频都包含一些命令性数据,应将这些命令性数据分开,而不会丢失任何数据,目前,视频处理创新得到了很多考虑。本文提出了一种基于色矩从视频中高效提取帧,然后检测最大稳定极端区域(MSER)的方法。仅在关键帧上可以使用此方法,直到文本本地化为止。该方法有助于减少文本本地化算法的处理时间。

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