Automatic generated recommendation for movie trailers

Author

Zhe Xu ; Ya Zhang

Author_Institution

Shanghai Key Lab. of Multimedia Process. & Transmissions, Shanghai Jiao Tong Univ., Shanghai, China

fYear

2013

fDate

5-7 June 2013

Firstpage

1

Lastpage

6

Abstract

Trailer generation is an important part of movie industry. Editing trailers manually is both time consuming and labor intensive. In this paper, we present an automatic scheme to select candidate movie clips for generating movie trailers. The candidates are well classified and ordered, allowing human editors to choose different types of clips systematically. We analyze professional trailers to guide the training process. The system leverages multimedia analysis techniques to generate candidates for movie trailers. Experiments have shown that clips chosen by the system can significantly outperform randomly picked clips.

Keywords

feature extraction; video signal processing; automatic generated recommendation; automatic scheme; data acquisition; editing trailers; feature extraction process; human editors; movie industry; movie trailers; multimedia analysis techniques; professional trailers; trailer generation; training algorithms; Computer vision; Face; Face recognition; Feature extraction; Motion pictures; Support vector machines; Training; Face Recognition; Video Analysis; Video Skim; Video Summarization;

fLanguage

English

Publisher

ieee

Conference_Titel

Broadband Multimedia Systems and Broadcasting (BMSB), 2013 IEEE International Symposium on

Conference_Location

London

ISSN

2155-5044

Type

conf

DOI

10.1109/BMSB.2013.6621738

Filename

6621738