Automatic processing of video data is essential in order to allow efficient access to large amounts of video content, a crucial point in such applications as video mining and surveillance. In this project we will focus on the problem of identifying interesting parts of the video. Specifically, we seek to identify atypical video events, which are the events a human user would naturally look for.
