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Near-duplicate video retrieval is becoming more and more important with the exponential growth of the Web. Though various approaches have been proposed to address this problem, they are mainly focusing on the retrieval accuracy while infeasible to query on Web scale video database in real time. This paper proposes a novel method to address the efficiency and scalability issues for near-duplicate Web video retrieval. We introduce a compact spatiotemporal feature to represent videos and constructdoi:10.1145/1873951.1874021 dblp:conf/mm/ShangYWCH10 fatcat:6nkcqzg3xjg3bc3gbn2exfmimi