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The Development and Evaluation of an Integrated Imagery Access Engine

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Web Intelligence: Research and Development (WI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2198))

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Abstract

Nowadays a lot of engines are proposed but they based on only one point of view; keyword or feature. In this paper, we integrate an engine using both a metadata type and a feature type database. It was built on the Web and all the components are free software. It deals with keywords and allows the result to be grouped by the feature of the contents. We then evaluated it using ten evaluaters, so the grouping method was highly evaluated.

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References

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Author information

Authors and Affiliations

  1. Department of Human System Science Graduate School of Decision Science and Technology, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, JAPAN

    Toru Fukumoto & Kanji Akahori

Authors
  1. Toru Fukumoto
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  2. Kanji Akahori
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Editor information

Editors and Affiliations

  1. Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

  2. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2

    Yiju Yao

  3. Department of Computer Science, Hong Kong Baptist University, 224 Waterloo Road, Kowloon, Hong Kong, China

    Jiming Liu

  4. Department of Information and Computer Science, Waseda University, 3-4-1 Okubo Shinjuku-Ku, Tokyo, 169, Japan

    Setsuo Ohsuga

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© 2001 Springer-Verlag Berlin Heidelberg

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Fukumoto, T., Akahori, K. (2001). The Development and Evaluation of an Integrated Imagery Access Engine. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_44

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  • DOI: https://doi.org/10.1007/3-540-45490-X_44

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42730-8

  • Online ISBN: 978-3-540-45490-8

  • eBook Packages: Springer Book Archive

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