Automatic rating of movies using an arousal curve extracted from video features
Daniel Stanley Tan, Solomon See, Thomas James Tiam-Lee · 2014
This paper discusses the extraction of film structure features from action films to build an arousal curve. The arousal curve is used as training data for building a Hidden Markov Model for predicting the rating of a movie. Evaluation of the model resulted in a 70% accuracy, which shows that there is some form of correlation between the structure of a film and its perceived rating. Interesting similarities were also observed in the arousal curve patterns between different movies in the same classifications.