Joke-o-mat: browsing sitcoms punchline by punchline

  • Authors:

  • Gerald Friedland;Luke Gottlieb;Adam Janin

  • Affiliations:

  • International Computer Science Institute, Berkeley, CA, USA;International Computer Science Institute, Berkeley, CA, USA;International Computer Science Institute, Berkeley, CA, USA

  • Venue:
  • MM '09 Proceedings of the 17th ACM international conference on Multimedia
  • Year:
  • 2009

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Abstract

This paper summarizes our contribution to the Yahoo! task of the ACM Multimedia Grand Challenge. This challenge asks for the robust automatic segmentation of videos according to "narrative themes". Based on the automatic segmentation methods presented in [1] and partly [2], we describe a system to navigate Seinfeld episodes based on automatic segmentation of the audio track only. The system distinguishes laughter, music, and other noise as well as speech segments. Speech segments are identified against pre-trained speaker models of the actors. Given this segmentation and the artistic production rules that underlie the genre situation comedy and Seinfeld in particular, the system enables a user to browse an episode by scene, by punchline, and by dialog segments. The themes can be filtered by the main actors, e.g. the user can select to see only punchlines by Jerry and Kramer. Based on the length of the laughter, the top 5 punchlines are also identified and presented to the user.