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International Conference on Image and Video Retrieval

CIVR 2005: Image and Video Retrieval pp 650–659Cite as

Content-Free Image Retrieval by Combinations of Keywords and User Feedbacks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3568))

Abstract

The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywords obtained from a network game are recycled through collaborative filtering techniques to retrieve images without analyzing actual image pixels. Experimental results show the proposed method outperforms a conventional content-based approach using support vector machine. The result was achieved by the combination of feedback data and keywords. Applications of the proposed scheme in query-by-text image retrieval is also discussed.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering,  

    Shingo Uchihashi

  2. Robotics Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA

    Takeo Kanade

Authors
  1. Shingo Uchihashi
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  2. Takeo Kanade
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, National University of Singapore, Computing 1, 117590, Singapore

    Wee-Kheng Leow

  2. LIACS Media Lab, Leiden University,  

    Michael S. Lew  & Erwin M. Bakker  & 

  3. National University of Singapore, 3 Science Dr, 117543, Singapore

    Tat-Seng Chua

  4. Microsoft Research Asia, 4F, Sigma Center, No.49, Zhichun Road, 100080, Beijing, P.R.China

    Wei-Ying Ma

  5. School of Computing, National University of Singapore, 3 Science Drive 2, 117543, Singapore

    Lekha Chaisorn

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Uchihashi, S., Kanade, T. (2005). Content-Free Image Retrieval by Combinations of Keywords and User Feedbacks. In: Leow, WK., Lew, M.S., Chua, TS., Ma, WY., Chaisorn, L., Bakker, E.M. (eds) Image and Video Retrieval. CIVR 2005. Lecture Notes in Computer Science, vol 3568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526346_68

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  • DOI: https://doi.org/10.1007/11526346_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27858-0

  • Online ISBN: 978-3-540-31678-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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