Identification of successive correlated camera shots using audio and video information

Author

Saraceno, C. ; Leonardi, R.

Author_Institution

Brescia Univ., Italy

Volume

3

fYear

1997

fDate

26-29 Oct 1997

Firstpage

166

Abstract

Effective creation and utilization of large digital multimedia libraries involves the application of multimedia processing techniques to organize, condense and index media for intelligent searching and selective retrieval. The segmentation of video sequences into scenes and the characterization of each scene has been suggested as a technique for organizing video information. As human beings use both auditory and visual systems to perceive the semantics of audio-visual sources, the analysis of the associated audio signal is shown to serve as a support for organizing video information

Keywords

audio signals; audio-visual systems; correlation methods; image segmentation; image sequences; multimedia computing; video signal processing; audio information; audio signal analysis; audio-visual sources; auditory systems; digital multimedia libraries; intelligent searching; media indexing; multimedia processing techniques; scene change detection; scene characterization; selective retrieval; successive correlated camera shots identification; video information organisation; video sequences segmentation; visual systems; Cameras; Data mining; Gunshot detection systems; Information analysis; Layout; Motion pictures; Organizing; Signal analysis; Video compression; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.632039

Filename

632039