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Web Image Retrieval for Abstract Queries Using Text and Image Information

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Information Retrieval Technology (AIRS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5839))

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Abstract

In this paper, we propose a method for image retrieval on the web. In this task, we focus on abstract words that do not directly link to images that we want. For example, a user might use a query “summer” to retrieve images of “fireworks” or “a white sand beach with the sea”. In this case retrieval systems need to infer direct words for the images from the abstract query of the user. In our method, we extract related words about a query from the web first. Second, we retrieve images from the web by using the extracted words. Then, a user selects relevant images from the retrieved images. Next, the system computes a similarity between selected images and other images and ranks the images on the basis of the similarity. We use the Earth Mover’s Distance as the similarity. The experimental result shows the effectiveness of our method that uses text and image information for the image retrieval process.

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Author information

Authors and Affiliations

  1. Department of Artificial Intelligence, Kyushu Institute of Technology, 680-4 Iizuka, Fukuoka, 820-8502, Japan

    Kazutaka Shimada, Suguru Ishikawa & Tsutomu Endo

Authors
  1. Kazutaka Shimada
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  2. Suguru Ishikawa
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  3. Tsutomu Endo
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Nam-gu, 790-784, Pohang, Korea

    Gary Geunbae Lee

  2. School of Computing, The Robert Gordon University, St Andrew Street, AB25 1HG, Aberdeen, UK

    Dawei Song

  3. Microsoft Reseach Asia, 5F Beijing Sigma Center, 49 Zhichun Road, Haidian District, 100190, Beijing, P.R. China

    Chin-Yew Lin

  4. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, 101-8430, Tokyo, Japan

    Akiko Aizawa

  5. School of Literature, Shirayuri College, 1-25 Midorigaoka, Chofu-shi, 182-8525, Tokyo, Japan

    Kazuko Kuriyama

  6. Graduate School of Information Science and Technology, Hokkaido University, North 14 West 9, Kita-ku. Sapporo-shi, 060-0814, Hokkaido, Japan

    Masaharu Yoshioka

  7. Microsoft Research Asia, 5F Beijing Sigma Center, 49 Zhichun Road, Haidian District, 100190, Beijing, P.R. China

    Tetsuya Sakai

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© 2009 Springer-Verlag Berlin Heidelberg

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Shimada, K., Ishikawa, S., Endo, T. (2009). Web Image Retrieval for Abstract Queries Using Text and Image Information. In: Lee, G.G., et al. Information Retrieval Technology. AIRS 2009. Lecture Notes in Computer Science, vol 5839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04769-5_26

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  • DOI: https://doi.org/10.1007/978-3-642-04769-5_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04768-8

  • Online ISBN: 978-3-642-04769-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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