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Image retrieval system using KANSEI features

  • Image Retrieval and Speech Recognition
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PRICAI’98: Topics in Artificial Intelligence (PRICAI 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1531))

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Abstract

We have developed an Image Retrieval System using KANSEI(feeling or sensitivity) features. This system can search the same sensuous image from a large image storage not using text or word but an image. Therefore it doesn’t need indexing on each image for preparing image retrieval. Out system extracts the KANSEI features from each image, and sets adequate weights for combining those features. In order to decide the weights, we introduce a new value called “adaptability”. It judges how much the features are extracted from the image. As a result, adaptability makes it possible to construct a KANSEI model according to each image and to calculate similarity between images.

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Authors and Affiliations

  1. Information Technology Research Center, OMRON Corporation, Shimokaiinji, 617-8510, Nagaokakyo-city, Kyoto, Japan

    Hideyuki Kobayashi, Yoriyuki Okouchi & Shunji Ota

Authors
  1. Hideyuki Kobayashi
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  2. Yoriyuki Okouchi
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  3. Shunji Ota
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Editor information

Hing-Yan Lee Hiroshi Motoda

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© 1998 Springer-Verlag Berlin Heidelberg

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Kobayashi, H., Okouchi, Y., Ota, S. (1998). Image retrieval system using KANSEI features. In: Lee, HY., Motoda, H. (eds) PRICAI’98: Topics in Artificial Intelligence. PRICAI 1998. Lecture Notes in Computer Science, vol 1531. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095306

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  • DOI: https://doi.org/10.1007/BFb0095306

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65271-7

  • Online ISBN: 978-3-540-49461-4

  • eBook Packages: Springer Book Archive

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