Automatic Movie Summarization Based on the Visual-Audio Features

Automatic Movie Summarization Based on the Visual-Audio Features

Automatic movie summarization based on the visual-audio features is introduced. The importance evaluation model for video clips chooses face detection and atwitter shot detection as the basis. Against the difficult of movie's speech endpoint detection, speech endpoint detection based on subtitl...

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Bibliographic Details
Published in:2014 IEEE 17th International Conference on Computational Science and Engineering pp. 1758 - 1761
Main Authors: Chen Li, Yuxiang Xie, Xidao Luan, Kaichao Zhang, Liang Bai
Format: Conference Proceeding
Language:English
Published: IEEE 01-12-2014
Subjects:
Educational institutions
endpoint detection
Face
face detection
Feature extraction
Motion pictures
Semantics
Speech
video summarization
visual-audio features fusion
Visualization
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Description
Summary:Automatic movie summarization based on the visual-audio features is introduced. The importance evaluation model for video clips chooses face detection and atwitter shot detection as the basis. Against the difficult of movie's speech endpoint detection, speech endpoint detection based on subtitles of movie is introduced, which can help detect the captions' start or end time exactly. Compared with other summarization algorithm, the introduced algorithm is suitable for movie summarization.
DOI:10.1109/CSE.2014.322