Skip to main content

Similarity Search Using Multiple Examples in MARS

  • Conference paper
  • First Online:
Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

Included in the following conference series:

Abstract

Unlike traditional database management systems, in multimedia databases that support content-based retrieval over multimedia objects, it is difficult for users to express their exact information need directly in the form of a precise query. A typical interface supported by content-based retrieval systems allows users to express their query in the form of examples of objects similar to the ones they wish to retrieve. Such a user interface, however, requires mechanisms to learn the query representation from the examples provided by the user. In our previous work, we proposed a query refinement mechanism in which a query representation is modified by adding new relevant examples based on user feedback. In this paper, we describe query processing mechanisms that can efficiently support query expansion using multidimensional index structures.

This work was supported by NSF awards IIS-9734300, and CDA-9624396; in part by the Army Research Laboratory under Cooperative Agreement No. DAAL01-96-2-0003. Michael Ortega is supported in part by CONACYT grant 89061 and MAVIS fellowship.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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.

References

  1. Jeffrey R. Bach, Charles Fuller, Amarnath Gupta, Arun Hampapur, Bradley Horowitz, Rich Humphrey, Ramesh Jain, and Chiao fe Shu. The Virage image search engine: An open framework for image management. In SPIE Conf. on Vis. Commun. and Image Proc., 1996.

    Google Scholar 

  2. S. Berchtold, D. A. Keim, and H. P. Kriegel. The x-tree: An index structure for high-dimensional data. In VLDB, 1996.

    Google Scholar 

  3. Kaushik Chakrabarti and Sharad Mehrotra. High dimensional feature indexing using hybrid trees. In ICDE, 1999.

    Google Scholar 

  4. M. Flickner, Harpreet Sawhney, Wayne Niblack, Jonathan Ashley, Q. Huang, Byron Dom, Monika Gorkani, Jim Hafine, Denis Lee, Dragutin Petkovic, David Steele, and Peter Yanker. Query by image and video content: The QBIC system. IEEE Computer, Sep 1995.

    Google Scholar 

  5. Robert M. Haralick, K. Shanmugam, and Its’hak Dinstein. Texture features for image classification. IEEE Trans. on Sys., Man, and Cyb., SMC-3(6), 1973.

    Google Scholar 

  6. Thomas S. Huang, Sharad Mehrotra, and Kannan Ramchandran. Multimedia analysis and retrieval system (MARS) project. In Annual Clinic on Library Application of Data Processing-Digital Image Access and Retrieval, 1996.

    Google Scholar 

  7. Yoshiharu Ishikawa, Ravishankar Subramanya, and Christos Faloutsos. Mindreader: Querying databases through multiple examples. In VLDB, 1998.

    Google Scholar 

  8. Michael Ortega, Yong Rui, Kaushik Chakrabarti, Sharad Mehrotra, and Thomas S. Huang. Supporting similarity queries in MARS. In ACM Multimedia, 1997.

    Google Scholar 

  9. A. Pentland, R.W. Picard, and S. Sclaroff. Photobook: Content-based manipulation of image databases. Int’l Journal of Computer Vision, 18(3), 1996.

    Google Scholar 

  10. Kriengkrai Porkaew, Sharad Mehrotra, and Michael Ortega. Query reformulation for content based multimedia retrieval in MARS. In IEEE Int’l Conf. on Multimedia Computing and Systems, 1999.

    Google Scholar 

  11. Yong Rui, Thomas S. Huang, and Sharad Mehrotra. Content-based image retrieval with relevance feedback in MARS. In IEEE Int’l Conf. on Image Proc., 1997.

    Google Scholar 

  12. Yong Rui, Thomas S. Huang, Michael Ortega, and Sharad Mehrotra. Relevance feedback: A power tool for interactive content-based image retrieval. IEEE Trans. on Circuits and Video Technology, Sep 1998.

    Google Scholar 

  13. Markus Stricker and Markus Orengo. Similarity of color images. In SPIE Conf. on Vis. Commun. and Image Proc., 1995.

    Google Scholar 

  14. Michael Swain and Dana Ballard. Color indexing. Int’l Journal of Computer Vision, 7(1), 1991.

    Google Scholar 

  15. D. White and R. Jain. Similarity indexing with the ss-tree. In ICDE, 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Porkaew, K., Mehrotra, S., Ortega, M., Chakrabarti, K. (1999). Similarity Search Using Multiple Examples in MARS. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_9

Download citation

  • DOI: https://doi.org/10.1007/3-540-48762-X_9

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics