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Lecture Summarization using Video Processing and Automatic Text Summarization

机译:使用视频处理和自动文本概述讲座摘要

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Nowadays machine learning has achieved a lot of success in technical fields. One of these is video processing but text is recognized which is in a computer readable format, our paper is focusing on detection of handwritten text and summarizing the document for which we found a better result with some methods which are clearly explained in this paper. This paper is following three modules to achieve the better result as from video selecting keyframes without losing whiteboard data, after selecting keyframes to identify the text which is a difficult task can be achieved. Preparing short notes with more accuracy is required for that this paper shows some ML libraries.These paper will give us a brief idea about which methods are used for modules to achieve a good accuracy.
机译:如今机器学习在技术领域取得了很大的成功。 其中之一是视频处理,但识别文本是计算机可读格式,我们的论文专注于检测手写文本并概述我们发现的文档,其中一些方法在本文中清楚地解释了一些方法。 本文涉及三个模块,以实现从视频选择关键帧的情况下实现更好的结果,而无需丢失白板数据,在选择关键帧以识别可以实现困难任务的文本之后。 本文需要更准确地准备更准确的笔记,这篇论文显示了一些ML图书馆。这些论文将为我们简要了解哪些方法用于模块以实现良好的准确性。

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