Skip to main content

Content-Based Image Retrieval in Digital Libraries of Art Images Utilizing Colour Semantics

  • Conference paper
Research and Advanced Technology for Digital Libraries (TPDL 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6966))

Included in the following conference series:

Abstract

The paper presents the architecture of experimental Content-Based Image Retrieval (CBIR) system APICAS ("Art Painting Image Colour Aesthetics and Semantics"). This system has been developed within a doctoral thesis which aims to provide a suite of specialized tools for CBIR within a digital library of art images. The high-level architecture suggested in this work takes OAIS as a basis and adds a designated layer to it allowing CBIR functions to be used both within ingest and access to the digital library.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. OAIS: Reference Model for an Open Archival Information System (OAIS): Blue book. Consultative Committee for Space Data Systems, p. 148 (January 2002)

    Google Scholar 

  2. Ivanova, K., Stanchev, P., Dimitrov, B.: Analysis of the distributions of color characteristics in art painting images. Serdica Journal of Computing 2/2, 111–136 (2008)

    Google Scholar 

  3. Ivanova, K., Stanchev, P.: Color harmonies and contrasts search in art image collections. In: 1st Int. Conf. on Advances in Multimedia, Colmar, France, pp. 180–187 (2009)

    Google Scholar 

  4. Ivanova, K., Stanchev, P., Vanhoof, K.: Automatic tagging of art images with color harmonies and contrasts characteristics in art image collections. Int. Journal on Advances in Software 3(3&4), 474–484 (2010)

    Google Scholar 

  5. Ivanova, K., Stanchev, P., Velikova, E., Vanhoof, K., Depaire, B., Kannan, R., Mitov, I., Markov, K.: Features for art painting classification based on vector quantization of MPEG 7 descriptors. In: 2nd Int. Conf. ICDEM, India. LNCS (2010)

    Google Scholar 

  6. Amato, G., Gennaro, C., Rabitti, F., Savino, P.: Milos: A multimedia content management system for digital library applications. In: Heery, R., Lyon, L. (eds.) ECDL 2004. LNCS, vol. 3232, pp. 14–25. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. Demsar, J., Zupan, B., Leban, G., Curk, T.: Orange: From Experimental Machine Learning to Interactive Data Mining. White Paper, University of Ljubljana (2004)

    Google Scholar 

  8. Karypis, G.: CLUTO: A Clustering Toolkit Release 2.1.1. University of Minnesota, Department of Computer Science, Minneapolis, Technical Report: #02-017 (2003)

    Google Scholar 

  9. Mitov, I., Ivanova, K., Markov, K., Velychko, V., Vanhoof, K., Stanchev, P.: PaGaNe – a classification machine learning system based on the multidimensional numbered information spaces. World Scientific Proceedings Series on Computer Engineering and Information Science (2), 279–286 (2009)

    Google Scholar 

  10. Witten, I., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ivanova, K. (2011). Content-Based Image Retrieval in Digital Libraries of Art Images Utilizing Colour Semantics. In: Gradmann, S., Borri, F., Meghini, C., Schuldt, H. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2011. Lecture Notes in Computer Science, vol 6966. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24469-8_62

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24469-8_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24468-1

  • Online ISBN: 978-3-642-24469-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics