Scene Determination Based on Video and Audio Features

Pfeiffer, Silvia ; Lienhart, Rainer ; Effelsberg, Wolfgang

Document Type: Conference or workshop publication
Year of publication: 1999
Book title: Proceedings : June 7 - 11, 1999, Florence, Italy
The title of a journal, publication series: Proceedings of the IEEE Conference on Multimedia Computing and Systems, Florence, Italy, 07.-11. June 1999
Volume: 1
Page range: 685-690
Conference title: IEEE International Conference on Multimedia Computing and Systems
Publisher: Martin, Danielle C.
Place of publication: Los Alamitos, Calif. [u.a.]
Publishing house: IEEE Computer Soc. Press
ISBN: 0-7695-0253-9 , 0-7695-0255-5
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg 1989-2017)
Subject: 004 Computer science, internet
Abstract: Determining automatically what constitutes a scene in a video is a challenging task, particularly since there is no precise definition of the term scene. It is left to the individual to set attributes shared by consecutive shot which group them into scenes. Certain basic attributes such as dialogs, like settings and continuing sounds are consis-tent indicators. We have therefore developed a scheme for identifying scenes which clusters shots according to detected dialogs, like settings and similar audio. Results from experiments show automatic identification of these types of scenes to be reliable.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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