Title :
Automatic Movie Summarization Based on the Visual-Audio Features
Author :
Chen Li ; Yuxiang Xie ; Xidao Luan ; Kaichao Zhang ; Liang Bai
Author_Institution :
Sci. & Technol. on Inf. Syst. Engeineering Lab., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
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.
Keywords :
audio signal processing; face recognition; speech processing; video signal processing; atwitter shot detection; automatic movie summarization; caption end time detection; caption start time detection; face detection; importance evaluation model; movie speech endpoint detection; movie subtitles; video clips; visual-audio features; Educational institutions; Face; Feature extraction; Motion pictures; Semantics; Speech; Visualization; endpoint detection; face detection; video summarization; visual-audio features fusion;
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
DOI :
10.1109/CSE.2014.322
