Pic-a-topic: Gathering information efficiently from recorded TV shows on travel

Tetsuya Sakai, Tatsuya Uehara, Kazuo Sumita, Taishi Shimomori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInformation Retrieval Technology - Third Asia Information Retrieval Symposium, AIRS 2006, Proceedings
PublisherSpringer Verlag
Pages429-444
Number of pages16
ISBN (Print)3540457801, 9783540457800
DOIs
Publication statusPublished - 2006 Jan 1
Event3rd Asia Information Retrieval Symposium, AIRS 2006 - Singapore, Singapore
Duration: 2006 Oct 162006 Oct 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4182 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd Asia Information Retrieval Symposium, AIRS 2006
CountrySingapore
CitySingapore
Period06/10/1606/10/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Sakai, T., Uehara, T., Sumita, K., & Shimomori, T. (2006). Pic-a-topic: Gathering information efficiently from recorded TV shows on travel. In Information Retrieval Technology - Third Asia Information Retrieval Symposium, AIRS 2006, Proceedings (pp. 429-444). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4182 LNCS). Springer Verlag. https://doi.org/10.1007/11880592_33