In this paper, an efficient content-based video copy detection method is proposed by using video signatures. Consecutive frame features are mapped into hashes with a time constraint. We employ a winnowing scheme to generate video signatures, which are a subset of the hashes of a video, resulting in notably reduced computing complexity. Experimental results on test videos show that the proposed method is promising.