Automatic rating of movies using an arousal curve extracted from video features
College
College of Computer Studies
Department/Unit
Software Technology
Document Type
Conference Proceeding
Source Title
2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2014 - 7th HNICEM 2014 Joint with 6th International Symposium on Computational Intelligence and Intelligent Informatics, co-located with 10th ERDT Conference
Publication Date
11-2014
Abstract
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. © 2014 IEEE.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2014.7016211
Recommended Citation
Tan, D., See, S., & Tiam-Lee, T. Z. (2014). Automatic rating of movies using an arousal curve extracted from video features. 2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2014 - 7th HNICEM 2014 Joint with 6th International Symposium on Computational Intelligence and Intelligent Informatics, co-located with 10th ERDT Conference https://doi.org/10.1109/HNICEM.2014.7016211
Disciplines
Computer Sciences
Keywords
Motion pictures—Evaluation—Automation; Image processing
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