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Recent Developments in Intelligent Computing, Communication and Devices pp 1–7Cite as

Interactive Browsing of Large Image Repositories

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 752))

Abstract

Image database navigation systems provide an interesting approach of managing and finding images in databases of large image repositories. Here, an image collection is visualised, typically based on features extracted from the images, in such a way that similar images are placed close to each other in an arrangement that aids understanding and supports interactive browsing of the image set. In this paper, we provide an overview of image browsing systems, focussing on some of the systems that we have developed in our lab to enable effective and efficient interactive exploration of large image collections.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Loughborough University, Loughborough, UK

    Gerald Schaefer

Authors
  1. Gerald Schaefer
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Corresponding author

Correspondence to Gerald Schaefer .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  2. Victoria Business School, Victoria University of Wellington, Wellington, New Zealand

    Vipul Jain

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Schaefer, G. (2019). Interactive Browsing of Large Image Repositories. In: Patnaik, S., Jain, V. (eds) Recent Developments in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 752. Springer, Singapore. https://doi.org/10.1007/978-981-10-8944-2_1

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