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2009 11th IEEE International Symposium on Multimedia
Using Artistic Markers and Speaker Identification for Narrative-Theme Navigation of Seinfeld Episodes
San Diego, California, USA
December 14-December 16
ISBN: 978-0-7695-3890-7
This article describes a system to navigate Seinfeld episodes based on acoustic event detection and speaker identification of the audio track and subsequent inference of narrative themes based on genre-specific production rules. The system distinguishes laughter, music, and other noise as well as speech segments. Speech segments are then identified against pre-trained speaker models. Given this segmentation and the artistic production rules that underlie the ``situation comedy'' genre and Seinfeld in particular, the system enables a user to browse an episode by scene, punchline, and dialog segments. The themes can be filtered by the main actors, e.g. the user can choose to see only punchlines by Jerry and Kramer. Based on the length of the laughter, the top-5 punchlines are identified and presented to the user. The segmentation is then presented in an Applet-based graphical video browser that is intended to extend a typical YouTube videoplayer.
Index Terms:
video navigation, speaker identification, narrative themes, browser
Citation:
Gerald Friedland, Luke Gottlieb, Adam Janin, "Using Artistic Markers and Speaker Identification for Narrative-Theme Navigation of Seinfeld Episodes," ism, pp.511-516, 2009 11th IEEE International Symposium on Multimedia, 2009
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