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Computer Vision Framework for Analyzing Projections from Video of Lectures

机译:用于分析演讲视频中的投影的计算机视觉框架

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The overhead and computer projectors have become an essential element to the classroom and corporate settings. Users of web-based classes and conferences would like to have access to the projector tools. The bandwidth required to transmit these projections is too large to be useful. This paper proposes a framework for processing images displayed by overhead and computer projectors during presentations. In this way, the projectors can be easily rebroadcast over the internet without loss of quality due to compression. This process requires determining the areas of text, binarizing those areas, and performing Optical Character Recognition on the final image. Several examples are shown, including both successful and unsuccessful data sets. A discussion is also included which explains all of the results.
机译:高架投影仪和计算机投影仪已成为教室和公司环境的重要组成部分。基于Web的课程和会议的用户希望使用投影仪工具。传输这些投影所需的带宽太大,无法使用。本文提出了一个框架,用于处理演示过程中高架投影仪和计算机投影仪显示的图像。这样,可以很容易地在互联网上重新播放投影机,而不会由于压缩而降低质量。此过程需要确定文本区域,对这些区域进行二值化处理,并对最终图像执行光学字符识别。显示了几个示例,包括成功和不成功的数据集。还包括一个讨论,解释所有结果。

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