Skip to main content

Visual Interface for Content-based Query in Image Databases

  • Chapter
  • 625 Accesses

Part of the book series: Studies in Computational Intelligence ((SCI,volume 226))

Abstract

The paper presents a relational database management system for managing and querying visual information. In order to accomplish this, the DBMS has implemented the Image data type. In a record of this type, there are stored the binary image and the automatically extracted color and texture characteristics. The color histogram with 166 colors in HSV space represents the image color information. A vector with 12 values represents the texture information obtained by applying Gabor filters. The two characteristics vectors are used for content-based visual query process. Beside this original way for visual information storage, the DBMS has a visual interface for building content-based queries using color, texture or both. Adapted for this type of queries, a Select command is built and executed by the DBMS. This system might by easily used in areas, where medium sized image collections are collected, in an efficient way and with low cost.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. MySQL 5.0 Reference Manual (2009), http://dev.mysql.com/doc/refman/5.0/en/blob.html

  2. SQL Server 2008 Books Online (January 2009), http://msdn.microsoft.com/en-us/library/ms187993.aspx

  3. Oracle Database SQL Reference 10g Release 2 (10.2), http://download.oracle.com/docs/cd/B19306_01/server.102/b14200/sql_elements001.htm

  4. New interMedia Features in Oracle10g, http://www.oracle.com/technology/products/intermedia/htdocs/imedia_new_features_in_10g.html

  5. Chigrik, A.: SQL Server 2000 vs Oracle 9i (2007), http://www.mssqlcity.com/Articles/Compare/sql_server_vs_oracle.htm

  6. Kratochvil, M.: The Move to Store Image in the Database (2005), http://www.oracle.com/technology/products/intermedia/pdf/why_images_in_database.pdf

  7. Del Bimbo, A.: Visual Information Retrieval. Morgan Kaufmann Publishers, San Francisco (2001)

    Google Scholar 

  8. Smith, J.R.: Integrated Spatial and Feature Image Systems: Retrieval, Compression and Analysis. Ph.D. thesis, Graduate School of Arts and Sciences. Columbia University (1997)

    Google Scholar 

  9. Gevers, T.: Image Search Engines: An Overview. Emerging Topics in Computer Vision. Prentice Hall, Englewood Cliffs (2004)

    Google Scholar 

  10. Stanescu, L., Burdescu, D.D., Brezovan, M., Stoica Spahiu, C., Ion, A.: A New Software Tool For Managing and Querying the Personal Medical Digital Imagery. In: Proceedings of the International Conference on Health Informatics, Porto, Portugal, pp. 199–204 (2009)

    Google Scholar 

  11. Samuel, J.: Query by example (QBE), http://pages.cs.wisc.edu/~dbbook/openAccess/thirdEdition/qbe.pdf

  12. Query by Example, http://en.wikipedia.org/wiki/Query_by_Example

  13. Muller, H., Michoux, N., Bandon, D., Geissbuhler, A.: A Review of Content_based Image Retrieval Systems in Medical Application - Clinical Benefits and Future Directions. Int. J. Med. Inform. 73 (2004)

    Google Scholar 

  14. Khoshafian, S., Baker, A.B.: Multimedia and Imaging Databases. Morgan Kaufmann Publishers, Inc., San Francisco (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Spahiu, C.S., Stanescu, L., Burdescu, D., Brezovan, M. (2009). Visual Interface for Content-based Query in Image Databases. In: Damiani, E., Jeong, J., Howlett, R.J., Jain, L.C. (eds) New Directions in Intelligent Interactive Multimedia Systems and Services - 2. Studies in Computational Intelligence, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02937-0_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02937-0_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02936-3

  • Online ISBN: 978-3-642-02937-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics