Automatic Movie Rating Using Visual and Linguistic Information
Puvadon Changka, Rachada Kongkachandra · 2010
Today the movie classification also known as“Movie Rating” still does not has the computerized systems to support and still using human help to classify as a censorship. This movie classification process also takes long time and may have some conflicts among the committee because of their background and experience. The committee also needs to use the vote for helping then consents all their conflicts. By applying the computerized systems in the movie classification will help to improve the correctness, speed up the classified process and eliminate the conflicts that may happen among the censorial committee. This paper will apply the image processing and the speech data processing to the computerized systems. The proposed system can classify the video movies by using 2 interested criteria which are violence and language. The system was developed for video movie rating between 13+ through 18+. The accuracy rate of this system is around 66.67%.