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Fostering Multi-Modal Summarization for Trend Information

  • Tsuneaki Kato
  • Mitsunori Matsushita
  • Noriko Kando
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4693)

Abstract

It is more important than ever to be able to extract relevant information and to understand or review its content quickly. Spotting trends is one such way of understanding or reviewing. We propose multi-modal summarization for trend information as a new technology to help this activity. We also describe the design of a data set that will foster research in the field, and introduce an ongoing unique workshop using this data set.

Keywords

Semantic Representation Information Extraction Newspaper Article Information Visualization Multimedia Presentation 
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 2007

Authors and Affiliations

  • Tsuneaki Kato
    • 1
  • Mitsunori Matsushita
    • 2
  • Noriko Kando
    • 3
  1. 1.The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902Japan
  2. 2.NTT Communication Science Laboratories, NTT Corp., 2-4 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0237Japan
  3. 3.National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430Japan

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