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

fYear

2014

fDate

19-21 Dec. 2014

Firstpage

1758

Lastpage

1761

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-7980-6

Type

conf

DOI

10.1109/CSE.2014.322

Filename

7023833