Automatic rating of movies using an arousal curve extracted from video features

• Main Authors: Tan, Daniel Stanley, See, Solomon, Tiam-Lee, Thomas James Z.
• Format: text
• Published: Animo Repository 2014
• Subjects: Motion pictures—Evaluation—Automation; Image processing; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1858; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2857/type/native/viewcontent/HNICEM.2014.7016211
• Institution: De La Salle University

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 i...