Discover partially copied web videos
In this paper we address the problem of detecting partially copied web video. Discovery of copy relationship among web videos could facilitates clustering, recommendation and other applications. A hierarchical framework for rapid copy location is proposed. Utilizing the near neighbor search of ANN kdtree algorithm, the copy location problem can be converted into an optimal problem to solve. To retrieval copies from large scale database, we use image edge histogram and key-point trajectory base features for matching. Experiments on web video dataset demonstrate that propose framework is capable to discover common segments. Based on discovered copied matches we explore the migration relationship of web videos.