On Real-Time Detecting Duplicate Web Videos

With the rapid development of telecommunication techniques and digital devices, it is quite easy to copy, modify and republish videos in digital format, resulting in large volume of duplicate videos on the Web in recent years. In this paper we mainly investigate the problem of detecting excessive content duplication, so as to facilitate video search and intelligence propriety protection. A real-time detection method is hence proposed, which first selects videos' representative frames and then reduces each to a 64 bit hash code. Then the similarity of any two videos can be estimated by the proportion of their similar hash codes. The experiments demonstrate that our approach is both efficient and effective in terms of real-time applications.