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Online detection of video clips that present previously unseen events in a video stream is still an open challenge to date. For this Online New Event Detection (ONED) task, existing studies mainly focus on optimizing the detection accuracy instead of the detection efficiency. As a result, it is difficult for existing systems to detect new events in real time, especially for large-scale video collections such as the video content available on the Web. In this paper, the authors propose several scalable techniques to improve the video processing speed of a baseline ONED system by orders of magnitude without sacrificing much detection accuracy.
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