Skip to main content
SpringerLink
Log in

Adaptively browsing image databases with PIBE

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Browsing large image collections is a complex and often tedious task, due to the semantic gap existing between the user subjective notion of similarity and the one according to which a browsing system organizes the images. In this paper we propose PIBE, an adaptive image browsing system, which provides users with a hierarchical view of images (the Browsing Tree) that can be customized according to user preferences. A key feature of PIBE is that it maintains local similarity criteria for each portion of the Browsing Tree. This makes it possible both to avoid costly global reorganization upon execution of user actions and, combined with a persistent storage of the Browsing Tree, to efficiently support multiple browsing tasks. We present the basic principles of PIBE and report experimental results showing the effectiveness of its browsing and personalization functionalities.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Bartolini I, Ciaccia P, Patella M (2004) The PIBE personalizable image browsing engine. In: Proc. of the 1st international workshop on computer vision meets databases (CVDB 2004), Paris, France, pp. 43–50

  2. Bartolini I, Ciaccia P, Waas F (2001) FeedbackBypass: a new approach to interactive similarity query processing. In: Proc. of the 27th international conference on very large data bases (VLDB 2001), Rome, Italy, pp. 201–210

  3. Chakrabarti K, Ortega M, Mehrotra S, Porkaew K (2004) Evaluating refined queries in top-k retrieval systems. IEEE Trans Knowl Data Eng 16(2):256–270

    Article  Google Scholar 

  4. Chen J, Bouman C, Dalton J (1999) Active browsing using similarity pyramids. In: Proc. of international conference on storage and retrieval for image and video databases (SPIE 1999), San Jose, California, pp. 144–154

  5. Combs TTA, Bederson BB (1999) Does zooming improve image browsing?. In: Proc. of the fourth ACM conference on digital libraries, Berkeley, California, pp. 130–137 (1999)

  6. Graham A, Garcia-Molina H, Paepcke A, Winograd T (2002) Time as essence for photo browsing through personal digital libraries. In: Proc. ofACM/IEEE joint conference on digital libraries (JCDL 2002), Portland, Oregon, USA, pp. 326–335

  7. Jain AK, Dubes RC (1988) Algorithms for clustering data. Prentice Hall, New Jersey

    MATH  Google Scholar 

  8. Laaksonen J, Koskela M, Laakso S, Oja E (2000) Self-organising maps as a relevance feedback technique in content-based image retrieval. Pattern Anal Appl 2(4):140–152

    Google Scholar 

  9. Loui AC, Wood MD (1999) A software system for automatic albuming of consumer pictures. In: Proc. of the 7th ACM international conference on multimedia ’99, Orlando, Florida, USA, pp. 159–162

  10. Platt JC, Czerwinski M, Field BA (2003) PhotoTOC: automatic clustering for browsing personal photographs. In: Proc. of the 4th IEEE pacific rim conference on multimedia vol 1, Singapore, pp. 6–10

  11. Rodden K, Basalaj W, Sinclair D, Wood K (2001) Does organisation by similarity assist image browsing?. In: Proc. of the SIG-CHI human factors in computing systems (CHI 2001), Seattle, Washington, USA, pp. 190–197

  12. Rubner Y, Tomasi C, Guibas LJ (1998) A metric for distributions with applications to image databases. In: Proc. of the 6th international conference on computer vision (ICCV 1998), Mumbai, India, pp. 59–66

  13. Santini S, Jain R (2000) Integrated browsing and querying for image databases. IEEE Multimed 7(3):26–39

    Article  Google Scholar 

  14. Smeulders AWM, Worring M, Santini S, Gupta A, Jain R (2000) Content-based image retrieval at the end of the early years. IEEE Trans Pattern Anal Mach Intell 22(12):1349–1380

    Article  Google Scholar 

  15. Wallace M, Karpouzis K, Stamou G, Moschovitis G, Kollias S, Schizas C (2003) The electronic road: personalized content browsing. IEEE Multimed 10(3):49–59

    Article  Google Scholar 

  16. Wojna A (2003) Center-based indexing in vector and metric spaces. Fundam Inform 56(3):1–26

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. DEIS, University of Bologna, Bologna, Italy

    Ilaria Bartolini, Paolo Ciaccia & Marco Patella

Authors
  1. Ilaria Bartolini
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Paolo Ciaccia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marco Patella
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ilaria Bartolini.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bartolini, I., Ciaccia, P. & Patella, M. Adaptively browsing image databases with PIBE. Multimed Tools Appl 31, 269–286 (2006). https://doi.org/10.1007/s11042-006-0044-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-006-0044-0

Keywords

Search

Navigation