Skip to main content
SpringerLink
Log in

Image Presentation

  • Chapter
  • First Online:
Fundamentals of Image Data Mining

Part of the book series: Texts in Computer Science ((TCS))

  • 2451 Accesses

Abstract

This chapter deals with image presentation, a technique to present images to user after images are retrieved from an image database. Variety of ways of presenting images to users or visualizing an image database are demonstrated to readers in this chapter. The chapter begins with simple caption browsing to category browsing which is very common on the web. More powerful and sophisticated content browsing techniques are introduced in the next, including content browsing in 3D, with focus and force-directed content browsing. The chapter is highlighted and concluded with Google image search which is a sophisticated application of variety of image presentation techniques discussed earlier in the chapter.

The best usually is also the simplest.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. WordNet. https://wordnet.princeton.edu/. Accessed Feb 2019

  2. Schöffmann K, Ahlström D (2011) Similarity-based visualization for image browsing revisited. In: IEEE international symposium on multimedia

    Google Scholar 

  3. Quadrianto N, Kersting K, Tuytelaars T, Buntine WL (2010) Beyond 2D-grids: a dependence maximization view on image browsing. In: Proceedings of the international conference on multimedia information retrieval, pp 339–348,

    Google Scholar 

  4. Wang C et al (2015) Similarity-based visualization of large image collections. Inf Vis 14(3):183–203

    Article  MathSciNet  Google Scholar 

  5. Google.com. Accessed Oct 2018

  6. Islam M (2009) SIRBOT—semantic image retrieval based on object translation. PhD thesis, Monash University

    Google Scholar 

  7. Zhang D, Islam M, Lu G (2013) Structural image retrieval using automatic image annotation and region based inverted file. J Vis Commun Image Represent 24(7):1087–1098

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Federation University Australia, Churchill, VIC, Australia

    Dr. Dengsheng Zhang

Authors
  1. Dr. Dengsheng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dengsheng Zhang .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zhang, D. (2019). Image Presentation. In: Fundamentals of Image Data Mining. Texts in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-17989-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-17989-2_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17988-5

  • Online ISBN: 978-3-030-17989-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation