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A Large Scale System for Searching and Browsing Images from the World Wide Web

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Image and Video Retrieval (CIVR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4071))

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Abstract

This paper outlines the technical details of a prototype system for searching and browsing over a million images from the World Wide Web using their visual contents. The system relies on two modalities for accessing images — automated image annotation and NNk image network browsing. The user supplies the initial query in the form of one or more keywords and is then able to locate the desired images more precisely using a browsing interface.

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References

  1. Yavlinsky, A., Schofield, E., Rüger, S.: Automated image annotation using global features and robust nonparametric density estimation. In: Leow, W.-K., Lew, M., Chua, T.-S., Ma, W.-Y., Chaisorn, L., Bakker, E.M. (eds.) CIVR 2005. LNCS, vol. 3568, pp. 507–517. Springer, Heidelberg (2005)

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  2. Heesch, D., Rüger, S.: NNk networks for content-based image retrieval. In: McDonald, S., Tait, J.I. (eds.) ECIR 2004. LNCS, vol. 2997, pp. 253–266. Springer, Heidelberg (2004)

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  3. Heesch, D., Pickering, M., Yavlinsky, A., Rüger, S.: Video retrieval within a browsing framework using keyframes. In: Proc. TREC Video (2004)

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  7. Heesch, D., Rüger, S.: Three interfaces for content-based access to image collections. In: Enser, P.G.B., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds.) CIVR 2004. LNCS, vol. 3115, pp. 491–499. Springer, Heidelberg (2004)

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  8. Heesch, D., Rüger, S.: Image browsing: Semantic analysis of nNk networks. In: Leow, W.-K., Lew, M., Chua, T.-S., Ma, W.-Y., Chaisorn, L., Bakker, E.M. (eds.) CIVR 2005. LNCS, vol. 3568, pp. 609–618. Springer, Heidelberg (2005)

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Author information

Authors and Affiliations

  1. Department of Computing, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK

    Alexei Yavlinsky & Stefan Rüger

  2. Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK

    Daniel Heesch

Authors
  1. Alexei Yavlinsky
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  2. Daniel Heesch
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  3. Stefan Rüger
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Editor information

Editors and Affiliations

  1. Arts, Media and Engineering Program, Arizona State University, 85281, Tempe, AZ,  

    Hari Sundaram

  2. Intelligent Information Management Department, IBM T.J. Watson Research Center, 19 Skyline Drive, 10532, Hawthorne, NY, USA

    Milind Naphade

  3. Intelligent Information Management Department, IBM T. J. Watson Research Center, 19 Skyline Drive, 10532, Hawthorne, NY, USA

    John R. Smith

  4. Microsoft Corporation, Microsoft China R&D Group, 49 Zhichun Road, 100080, Beijing, China

    Yong Rui

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© 2006 Springer-Verlag Berlin Heidelberg

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Yavlinsky, A., Heesch, D., Rüger, S. (2006). A Large Scale System for Searching and Browsing Images from the World Wide Web. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds) Image and Video Retrieval. CIVR 2006. Lecture Notes in Computer Science, vol 4071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788034_63

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  • DOI: https://doi.org/10.1007/11788034_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36018-6

  • Online ISBN: 978-3-540-36019-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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