利用从视频特征中提取的唤醒曲线对电影进行自动评级

2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) Pub Date : 2014-11-01 DOI:10.1109/HNICEM.2014.7016211

D. S. Tan, S. See, Thomas James Z. Tiam-Lee

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引用次数: 2

摘要

本文讨论了从动作电影中提取电影结构特征来构建唤醒曲线的方法。唤醒曲线被用作训练数据，用于建立一个隐马尔可夫模型来预测电影的评级。对模型的评估结果是70%的准确率，这表明电影的结构和它的感知评级之间存在某种形式的相关性。在相同分类的不同电影之间，唤醒曲线模式也有有趣的相似之处。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)

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