Skip to main content

Image Metadata

  • Reference work entry
  • First Online:
Book cover Encyclopedia of Database Systems
  • 19 Accesses

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover 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

Recommended Reading

  1. Ahern S, Davis M, Eckles D, King S, Naaman M, Nair R, Spasojevic M, Hui-I Yang J. ZoneTag: designing context-aware mobile media capture to increase participation. In: Proceedings of the Pervasive Image Capture and Sharing: New Social Practices and Implications for Technology Workshop; 2006.

    Google Scholar 

  2. Blasser A, editor. Database techniques for pictorial applications. Lecture notes in computer science, vol. 81. London: Springer; 1979.

    Google Scholar 

  3. Burkhardt H, Siggelkow S. Invariant features for discriminating between equivalence classes. Nonlinear model-based image video processing and analysis. New York: Wiley; 2001. p. 269–307.

    Google Scholar 

  4. Cox IJ, Miller ML, Minka TP, Papathomas TV. The Bayesian image retrieval system, picHunter: theory, implementation, and pychophysical experiments. IEEE Trans Image Process. 2000;9(1):20–37.

    Article  Google Scholar 

  5. Davis M. Active capture: integrating human-computer interaction and computer vision/audition to automate media capture. In: Proceedings of the IEEE International Conference on Multimedia and Expo; 2003.

    Google Scholar 

  6. Dorai C, Venkatesh S. Bridging the semantic gap in content management systems – computational media aesthetics. In: Dorai C, Venkatesh S, editors. Media computing computational media aesthetics. Boston: Kluwer; 2002.

    Google Scholar 

  7. Eco U. Articulations of the cinematic code. In: Nichols B, editor. Movies and methods. Berkeley: University of California Press; 1976. p. 590–607.

    Google Scholar 

  8. Frederix G, Caenen G, Pauwels EJ. PARISS: panoramic, adaptive and reconfigurable interface for similarity search. In: Proceedings of the International Conference Image Processing; 2000. p. 222–5.

    Google Scholar 

  9. Hardman L, Obrenovic Z, Nack F, Kerherve B, Piersol K. Canonical processes of semantically annotated media production. Multimedia Systems. 2008;14(6):327–40.

    Article  Google Scholar 

  10. Hollink L. Semantic annotation for retrieval of visual resaources. Ph.D thesis, Vrije Universiteit, Amsterdam.

    Google Scholar 

  11. Lin HC, Wang LL, Yang SN. Color image retrieval based on hidden Markov models. IEEE Trans Image Process. 1997;6(2):332–9.

    Article  Google Scholar 

  12. Reference.

    Google Scholar 

  13. Nack F, Windhouwer M, Hardman L, Pauwels E, Huijberts M. The role of highlevel and lowlevel features in style-based retrieval and generation of multimedia presentations. New Rev Hypermedia Multimed. 2001;7(1):7–37.

    Article  Google Scholar 

  14. Smeulders AWM, Worring M, Santini S, Gupta A, Jain R. Content-based image retrieval: the end of the early years. IEEE Trans Pattern Anal Mach Intell. 2000;22(12):1349–80.

    Article  Google Scholar 

  15. Smith SM, Brady JM. SUSANÐA new approach to low level image processing. Int J Comput Vis. 1997;23(1):45–78.

    Article  Google Scholar 

  16. Swain MJ. Searching for multimedia on the World Wide Web, icms. In: Proceedings of the International Conference on Multimedia Computing and Systems; 1999. p. 32–7.

    Google Scholar 

  17. Swain MJ, Ballard BH. Color indexing. Int J Comput Vis. 1991;7(1):11–32.

    Article  Google Scholar 

  18. The Dublin core metadata initiative. Available at: http://www.dublincore.org/. Accessed 12 Oct 2008.

  19. Weber M, Welling M, Perona P. Towards automatic discovery of object categories. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition; 2000. p. 2101–8.

    Google Scholar 

  20. W3C multimedia incubator group. Available at: http://www.w3.org/2005/incubator/mmsem/. Accessed 12 Oct 2008.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Frank Nack .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Nack, F. (2018). Image Metadata. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1521

Download citation

Publish with us

Policies and ethics