Efficient Tracking of News Topics Based on Chronological Semantic Structures in a Large-Scale News Video Archive

• IDE Ichiro

  Graduate School of Information Science, Nagoya University National Institute of Informatics, Research Organization of Information and Systems

• KINOSHITA Tomoyoshi

  NetCOMPASS, Ltd.

• TAKAHASHI Tomokazu

  Faculty of Economics and Information, Gifu Shotoku Gakuen University

• MO Hiroshi

  National Institute of Informatics, Research Organization of Information and Systems

• KATAYAMA Norio

  National Institute of Informatics, Research Organization of Information and Systems

• SATOH Shin'ichi

  National Institute of Informatics, Research Organization of Information and Systems

• MURASE Hiroshi

  Graduate School of Information Science, Nagoya University

抄録

Recent advance in digital storage technology has enabled us to archive a large volume of video data. Thanks to this trend, we have archived more than 1,800 hours of video data from a daily Japanese news show in the last ten years. When considering the effective use of such a large news video archive, we assumed that analysis of its chronological and semantic structure becomes important. We also consider that providing the users with the development of news topics is more important to help their understanding of current affairs, rather than providing a list of relevant news stories as in most of the current news video retrieval systems. Therefore, in this paper, we propose a structuring method for a news video archive, together with an interface that visualizes the structure, so that users could track the development of news topics according to their interest, efficiently. The proposed news video structure, namely the “topic thread structure”, is obtained as a result of an analysis of the chronological and semantic relation between news stories. Meanwhile, the proposed interface, namely “mediaWalker II”, allows users to track the development of news topics along the topic thread structure, and at the same time watch the video footage corresponding to each news story. Analyses on the topic thread structures obtained by applying the proposed method to actual news video footages revealed interesting and comprehensible relations between news topics in the real world. At the same time, analyses on their size quantified the efficiency of tracking a user's topic-of-interest based on the proposed topic thread structure. We consider this as a first step towards facilitating video authoring by users based on existing contents in a large-scale news video archive.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E95.D (5), 1288-1300, 2012

  一般社団法人 電子情報通信学会

キーワード

• news video
• video archive
• semantic structure
• topic tracking
• topic threads

詳細情報

• CRID: 1390282679354579328
• NII論文ID: 10030942659
• NII書誌ID: AA10826272
• DOI: 10.1587/transinf.e95.d.1288
• BIBCODE: 2012IEITI..95.1288I
• ISSN: 17451361
• ISSN: 09168532
• HANDLE: 2237/21415
• Web Site: https://nagoya.repo.nii.ac.jp/records/19323
• Web Site: https://www.jstage.jst.go.jp/article/transinf/E95.D/5/E95.D_5_1288/_pdf
• 本文言語コード: en
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