科研之友
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摘要
The increasing demand for copyright protection has brought extensive interest in video fingerprinting technology, which is considered as an effective way for digital content authentication. In this paper, an innovative method for video authenticity based on the fingerprint of scene frame has been proposed. Since the probability of 5 identical scene frames existing successively in different videos is extremely low, the proposed method firstly extract 5 successive different scene frames to make up the video fingerprint. This video fingerprint is then combined with the ID information of video to form meta fingerprint data. The metadata is stored in Bag-words format, leading to the saving of 75% storage space. In the process of authentication, a binary search of inverted file is applied to accelerate the matching speed. The results of simulation experiments using MATLAB show that the video authenticity method proposed in this paper achieves excellent detection performance, with the average accuracy over 98% at an average speed of 12 s per video. This makes the real-time detection become possible on the Internet.
