Skip to main content
SpringerLink
Log in

An Integrated Multimedia System with Learning Capabilities

  • Conference paper
  • First Online:
Advances in Visual Information Systems (VISUAL 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1929))

Included in the following conference series:

  • 496 Accesses

Abstract

This paper describes the main features of the multimedia information retrieval engine of Quicklook2. Quicklook2 allows the user to query image and multimedia databases with the aid of sample images, or a user-made sketch and/or textual descriptions, and progressively refine the system’s response by indicating the relevance, or nonrelevance of the retrieved items. The performance of the system is illustrated with examples from various application domains.

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 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. Aigrain O., Zhang H., Petkovic D.: Content-Based Representation and Retrieval of Visual Media: A State-of-the-Art Review. Multimedia Tools and Applications, 3 (1996) 179–182.

    Article  Google Scholar 

  2. Amadasun M., King R.: Textural features corresponding to textural properties, IEEE Transaction on System, Man and Cybernetics, 19 (1989) 1264–1274.

    Article  Google Scholar 

  3. Bach J.R., C. Fuller, A Gupta, A. Humpapur, H. Horowitz, R. Jain, C. Shu, The Virage image search engine: an opne framework for image management. Proc. SPIE Storage and Retrieval for Still Image and Video Database IV, S. Jose, 1996.

    Google Scholar 

  4. Berman A.P., Shapiro L.G., A flexible image database system for content-based retrieval. Computer Vision and Image Understanding, Vol. 75, Nos. 1/2, July/August, (1999) 175–195.

    Article  Google Scholar 

  5. Carrara P., Della Ventura A., Gagliardi I., “Designing hypermedia information retrieval systems for multimedia art catalogues”, The New Review of Hypermedia and Multimedia, vol. 2, pp. 175–195, 1996.

    Article  Google Scholar 

  6. Cinque L., Levialdi S., and Pellicano’ A., Color-Based Image Retrieval Using Spatial-Chromatic Histograms, IEEE Multimedia Systems 99, IEEE Computer Society, Vol. II, (1999) 969–973

    Article  Google Scholar 

  7. Ciocca G., Gagliardi I., Schettini R Content-based color image retrieval with relevance feedback, Proc. International Conference on Image Processing, Kobe (Japan), Special session “Image Processing Based on Color Science”, (1999).

    Google Scholar 

  8. Ciocca G., Gagliardi I., Schettini R., Quicklook: a content-based image retrieval system with learning capabilities, IEEE Multimedia Systems 99, IEEE Computer Society, Vol. II, (1999) 1028–1029.

    Article  Google Scholar 

  9. Ciocca G., Gagliardi I., Schettini R.: Retrieving color images by content. In: Del Bimbo A., Schettini R. (eds.) Proc. of the Image and Video Content-Based Retrieval Workshop (1998)

    Google Scholar 

  10. Ciocca G., R. Schettini, A relevance feedback mechanism for content-based imageretrieval, Information Processing and Management, 35 (1999) 605–632.

    Article  Google Scholar 

  11. Ciocca G., Schettini R., Content-based similarity retrieval of trademarks using relevance feedback, Pattern Recognition, 2000 (in print)

    Google Scholar 

  12. Ciocca G., Gagliardi I., Schettini R, Interactive Visual Information Retrieval, 2000 IEEE International Symposium on Circuits and Systems, 28–31 may 2000(Special Session on Digital Photography).

    Google Scholar 

  13. Cox I.J., M.L. Miller, S.O. Omohundro, P.N. Yianilos, PicHunter: Bayesian Relevance Feedback for Image Retrieval. Proc. ICPR’96, pp. 361–369, (1996)

    Google Scholar 

  14. Faloutsos C., Barber R., Flickner M., Hafner J., Niblack W., Petrovic D. Efficient and effective querying by image content, Journal of Intelligent Systems, 3 (1994) 231–262.

    Article  Google Scholar 

  15. Gagliardi I., Schettini R.: A method for the automatic indexing of color images for effective image retrieval. The New Review of Hypermedia and Multimedia, 3 (1997), 201–224.

    Article  Google Scholar 

  16. Gudivada V.N, Rahavan V.V.: Modeling and retrieving images by content. Information Processing and Management, 33 (1997) 427–452.

    Article  Google Scholar 

  17. Harmandas V., Mark Sanderson, Mark D. Dunlop: Image Retrieval by Hypertext Links. SIGIR 1997: 296–303

    Google Scholar 

  18. Hu M., Visual pattern recognition by moment invariants, IRE Trans. Inf. Theory 8, 179–187, (1962).

    Google Scholar 

  19. La Cascia M., S. Sethi, and S. SclaroffCombining Textual and Visual Cues for Contentbased Image Retrieval on the World Wide Web Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, June, 1998

    Google Scholar 

  20. Ma W.Y, B.S. Manjunath, Netra: a toolbox for navigating large image databases, Proc. EEE International Conference on Image Processing, 1996.

    Google Scholar 

  21. Y. Miyake, H. Saitoh, H. Yaguchi, and N. Tsukada. Facial pattern detection and color orrection from television picture for newspaper printing. Journal of Imaging Technology, 6:165–169, 1990.

    Google Scholar 

  22. Minka T., Picard R.W., Interactive learning with a “Society of Models”. Pattern ecognition, Vol. 30(4), pp. 565–581, 1997.

    Article  Google Scholar 

  23. Mood A.M, Graybill F.A., & Boes D.C: Introduzione alla statistica. McGraw-Hill (1988)

    Google Scholar 

  24. Mukherjea S., J. Cho, Automatically determining semantics for Word Wide Web ultimedia information Retrieval, Journal of Visual Languages and Computing, Vol. 10, p. 585–606, 1999.

    Article  Google Scholar 

  25. Pass G., Zabih R., Miller J.: Comparing Images Using Color Coherence Vectors. Proc. ourth ACM Multimedia 96 Conference (1996).

    Google Scholar 

  26. Rousseeuw P.J., Leroy A.M.: Robust regression and outlier detection, John Wiley & Sons (1987).

    Google Scholar 

  27. Rui Y., T.S. Huang, M. Ortega, S. Mehrotra, Relevance feedback: a power tool in interactive content-based retrieval, IEEE Transaction on Circuits and Systems for Video Technologies, Special Issue on Interactive Multimedia Systems for the Internet, Vol. 8(5), pp. 644–655, 1998.

    Article  Google Scholar 

  28. Rui Y., T.S. Huang, Image retrieval: current technologies, promising directions, and open issues, Journal of Visual Communication and Image Representation, Vol. 10, pp. 39–62 (1999).

    Article  Google Scholar 

  29. Salton G., A. Singhal, M. Mitra, C. Buckley, “Automatic text structuring and summarization”, Information Processing & Management, Vol. 33(2), pp. 193–207, 1997, Elsevier Science Ltd.

    Article  Google Scholar 

  30. Salton G., Automatic text processing, Addison-Wesley, 1989, New York.

    Google Scholar 

  31. Stricker M., Orengo6M.: Similarity of Color Images. Proc. of the SPIE Storage and Retrieval for Image and Video Databases III Conference (1995).

    Google Scholar 

  32. Tamura H., S. Mori and T. Yamawaki, “Textural features corresponding to visual perception”, IEEE Transaction on System, Man and Cybernetics 8, pp.460–473, 1978.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Istituto Tecnologie Informatiche Multimediali, Consiglio Nazionale delle Ricerche, Via Ampere 56, 20131, Milano, Italy

    G. Ciocca, I. Gagliardi, R. Schettini & B. Zonta

Authors
  1. G. Ciocca
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. I. Gagliardi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. Schettini
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. B. Zonta
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Claude Bernard University of Lyon, LISI - 502, INSA de Lyon, 69621, Villeurbanne Cedex, France

    Robert Laurini

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ciocca, G., Gagliardi, I., Schettini, R., Zonta, B. (2000). An Integrated Multimedia System with Learning Capabilities. In: Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2000. Lecture Notes in Computer Science, vol 1929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40053-2_28

Download citation

  • DOI: https://doi.org/10.1007/3-540-40053-2_28

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41177-2

  • Online ISBN: 978-3-540-40053-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation