Social tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. Such information can be valuable in building automatic systems to create tags for movies. Automatic tagging systems can help recommendation engines to improve the retrieval of similar movies as well as help viewers to k...

Video files are large and usually take long time to view. Manual browsing and organizing a big collection of video files is tedious and impractical. The goal of this project is to develop an automatic method for video classification based on their genre,. Take movie as examples, the program will classify movies into action movies, comedy movies, tragedy movies, etc. In other words, our algorith...