Automatic movie summarization based on the visual-audio features

作者：Li Chen; Xie Yuxiang; Luan Xidao; Zhang Kaichao; Bai Liang

来源：17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014, 2014-12-19 To 2014-12-21.

DOI：10.1109/CSE.2014.322

• Audio features
• End point detection
• Evaluation modeling
• Movie summarization
• Shot detection
• Speech endpoint detection
• Video clips
• Video summarization

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.

• 出版日期2015