An efficient video copy detection method based on video signature

With the rapid increasing popularity of web video, video copy detection (VCD) has become a hot research field in content-based video retrieval. Many efforts have been carried out to improve the effectiveness and efficiency of copy detection. In order to solve two challenging problems: video feature extraction and fast search in large database, a novel efficient video copy detection approach was proposed in this paper. A compact video signature was computed based on spatial-temporal features of video sequences. The video similarity is measured by the distance of video signature. For the scalable computing requirement, a new search method via clustering index table was presented by index clustering. The experimental results from query tests in large database show this method is efficient with high recall and precision rate.