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Visual Interaction with Electronic Art Gallery

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Database and Expert Systems Applications

Abstract

This paper describes the ideas of visual interaction and their implementations on an image database system. The visual interaction includes a query by visual example (QVE) and a query by subjective descriptions (QBD). The former provides a sketch retrieval function and the latter provides a sense retrieval function. This paper shows the detail algorithms of these functions developed on our experimental database system ART MUSEUM. These functions use a pictorial index created by image analysis and a personal index automatically learned as the user model. They formed visual interaction in a truly user-friendly manner. This paper also summarizes the requirements to a multimedia data model from a cognitive aspect.

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Author information

Authors and Affiliations

  1. Electrotechnical Laboratory, 1-1-4, Umezono, Tsukuba Science City 305, Japan

    Toshikazu Kato & Takio Kurita

Authors
  1. Toshikazu Kato
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  2. Takio Kurita
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Editor information

Editors and Affiliations

  1. Institut für Statistik und Informatik, Universität Wien, Vienna, Austria

    A. Min Tjoa

  2. Institut für Informatik, Johannes Kepler Universität Linz, Linz, Austria

    Roland Wagner

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© 1990 Springer-Verlag/Wien

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Kato, T., Kurita, T. (1990). Visual Interaction with Electronic Art Gallery. In: Tjoa, A.M., Wagner, R. (eds) Database and Expert Systems Applications. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7553-8_38

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  • DOI: https://doi.org/10.1007/978-3-7091-7553-8_38

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82234-0

  • Online ISBN: 978-3-7091-7553-8

  • eBook Packages: Springer Book Archive

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