DocumentCode
341897
Title
Scene determination based on video and audio features
Author
Lienbart, R. ; Pfeiffer, Silvia ; Effelsberg, Wolfgang
Author_Institution
Intel Res. Lab., Santa Clara, CA, USA
Volume
1
fYear
1999
fDate
36342
Firstpage
685
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 shots which group them into scenes. Certain basic attributes such as dialogs, like settings and continuing sounds are consistent indicators. We have therefore developed a scheme for identifying scenes by clustering shots according to detected dialogs, like settings and similar audio. Results from experiments show automatic identification of these types of scenes to be reliable
Keywords
content-based retrieval; multimedia databases; video databases; audio features; automatic scene identification; consecutive shots; content based analysis; continuing sounds; dialogs; experiments; multimedia; scene determination; shot clustering; video features; Atomic measurements; Clustering algorithms; Gunshot detection systems; Humans; Layout; Video sharing;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Computing and Systems, 1999. IEEE International Conference on
Conference_Location
Florence
Print_ISBN
0-7695-0253-9
Type
conf
DOI
10.1109/MMCS.1999.779282
Filename
779282
Link To Document