In this paper, we propose a video copy detection system by adopting a video fingerprinting technique as kernel. To achieve fast speed, the video fingerprints are generated from videos uploaded by users, and then are put into a retrieval system which prepares references by using a direct hashing algorithm for fast decision. To demonstrate the superiority of this method, several video fingerprints
... [Show full abstract] are used for comparisons. The experimental results indicate that our proposed method can perform well. The best performance that we can obtain is 0.35% for false negative rate and 0.1% for false positive rate, by using 1,295 videos for evaluation.