Pic-A-Topic: Gathering Information Efficiently from Recorded TV Shows on Travel

  • Tetsuya Sakai
  • Tatsuya Uehara
  • Kazuo Sumita
  • Taishi Shimomori
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4182)


We introduce a system called Pic-A-Topic, which analyses closed captions of Japanese TV shows on travel to perform topic segmentation and topic sentence selection. Our objective is to provide a table-of-contents interface that enables efficient viewing of desired topical segments within recorded TV shows to users of appliances such as hard disk recorders and digital TVs. According to our experiments using 14.5 hours of recorded travel TV shows, Pic-A-Topic’s F1-measure for the topic segmentation task is 82% of manual performance on average. Moreover, a preliminary user evaluation experiment suggests that this level of performance may be indistinguishable from manual performance.


Broadcast News Shot Boundary Topic Sentence Topic Word Electronic Program Guide 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tetsuya Sakai
    • 1
  • Tatsuya Uehara
    • 1
  • Kazuo Sumita
    • 1
  • Taishi Shimomori
    • 1
  1. 1.Toshiba Corporate R&D CenterKawasakiJapan

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