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Content extraction from video lectures for low power display

机译:从视频讲座中提取内容以实现低功耗显示

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The exponential growth and proliferation of the MOOC platform in recent years has facilitated easy access to advanced learning materials in the form of video lectures across almost all major specializations. The ever expanding outreach of internet has further boosted the utility and attraction of this medium of learning across the globe. Handheld devices like i-pad and e-notebooks can be used to access such platforms. Such portable devices however, are constrained by their battery capacity and hence need frequent charging. This can limit the access period for streaming or playing saved video-lectures, while traveling or while in a remote/rural set-up. Limited bandwidth may also obstruct the download/streaming of such material. In this work we present techniques that can drastically reduce the power budget for playing such video lectures on portable devices. Using image processing techniques we extract only the essential features from a video lectures, such that there is minimal loss in the information conveyed by the instructor, while the total amount of data transaction and processing is reduced by a large amount. The proposed method can therefore facilitate streaming/playing of video lectures for longer duration for a single charge.
机译:近年来,MOOC平台的呈指数级增长和扩散,使得通过几乎所有主要专业的视频讲座的形式,都可以轻松访问高级学习材料。互联网的不断扩展,进一步提高了这种学习媒介在全球范围内的实用性和吸引力。诸如i-pad和电子笔记本之类的手持设备可用于访问此类平台。但是,这种便携式设备受到其电池容量的限制,因此需要频繁充电。这可能会限制在旅行中或在远程/农村设置中流式播放或播放已保存的视频讲座的访问时间。有限的带宽也可能阻碍此类资料的下载/流式传输。在这项工作中,我们提出了可以大大降低在便携式设备上播放此类视频讲座的功率预算的技术。使用图像处理技术,我们仅从视频讲座中提取基本功能,从而使讲师传达的信息损失最小,而数据交易和处理的总量却大大减少了。因此,所提出的方法可以促进较长时间的单次收费的视频讲座的流式传输/播放。

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