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
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;
Conference_Titel :
Multimedia Computing and Systems, 1999. IEEE International Conference on
Conference_Location :
Florence
Print_ISBN :
0-7695-0253-9
DOI :
10.1109/MMCS.1999.779282