Presentation 2014-10-09
Selection of news story series based on the responses by SNS users for the summarization of multiple news videos
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) are explosively prevalent. SNS users aim to send and receive information in which they are interested. Thus, we considered editing news videos from the viewpoint of the viewers, and we have decided to summarize multiple news videos based on the responses by SNS users. In this report, we introduce a method that selects news story series which will be used for the news video summarization.
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Keyword(in English) News video / news video archive / SNS
Paper # MVE2014-39
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Conference Information
Committee MVE
Conference Date 2014/10/2(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) Selection of news story series based on the responses by SNS users for the summarization of multiple news videos
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 2014-10-09
Paper # MVE2014-39
Volume (vol) vol.114
Number (no) 239
Page pp.pp.-
#Pages 6
Date of Issue