Presentation 2015-03-03
Summarization of multiple news videos based on term scores using responses of SNS users
Kosuke KATO, Ichiro IDE, Daisuke DEGUCHI, Hiroshi MURASE,
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Abstract(in English) Archiving news videos is regarded as important since they are valuable as sources of important social information. When exploiting archived news videos as information sources, it is important to track the flow of topics to understand their contents comprehensively. Concerning it, a method that structures the chronological semantic relations between news stories, namely the "topic thread structure" has been proposed. It allows the understanding of the circumstance of the topic by tracking related stories one after another from the initial story. However, it imposes a user to watch many stories along the topic thread structure when it contains various topics. On the other hand, social networking services (SNS) have become very popular. SNS users often send and receive information in which they are interested while watching broadcast video. Thus, we propose a method that summarizes news videos based on term scores using responses of SNS users, in order to edit it from the viewpoint of the viewers.
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Keyword(in English) News video / news video archive / SNS
Paper # IMQ2014-39,IE2014-100,MVE2014-87
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Conference Information
Committee MVE
Conference Date 2015/2/24(1days)
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Paper Information
Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Summarization of multiple news videos based on term scores using responses of SNS users
Sub Title (in English)
Keyword(1) News video
Keyword(2) news video archive
Keyword(3) SNS
1st Author's Name Kosuke KATO
1st Author's Affiliation Nagoya University, Graduate School of Information Science()
2nd Author's Name Ichiro IDE
2nd Author's Affiliation Nagoya University, Graduate School of Information Science
3rd Author's Name Daisuke DEGUCHI
3rd Author's Affiliation Nagoya University, Information and Communications Headquarters:Nagoya University, Graduate School of Information Science
4th Author's Name Hiroshi MURASE
4th Author's Affiliation Nagoya University, Graduate School of Information Science
Date 2015-03-03
Paper # IMQ2014-39,IE2014-100,MVE2014-87
Volume (vol) vol.114
Number (no) 487
Page pp.pp.-
#Pages 6
Date of Issue