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Creators/Authors contains: "Jiashen Cao, Ramyad Hadidi"

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  1. (, CODES/ISSS '19: Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion)
    Deep learning algorithms are an essential component of video analytics systems, in which the content of a video stream is analyzed. Although numerous studies target optimizing server-based video analysis, partially processing videos on edge devices is beneficial. Since edge devices are closer to data, they deliver initial insights on data before sending it to cloud. In this paper, we present an edge-tailored video analytics system by using a multi-stage network designed to run on heterogeneous computing resources. 
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    Accepted Manuscript Full Text Available