Skip to main content

Relevance Judgments for Image Retrieval in the Field of Journalism: A Pilot Study

  • Conference paper
Digital Libraries: Implementing Strategies and Sharing Experiences (ICADL 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3815))

Included in the following conference series:

Abstract

The objective of this pilot study is to investigate relevance judgments made by end-users when searching for image information. The pilot study involved 10 undergraduate students from the Department of Journalism and Media Studies at Rutgers University using the AccuNet/AP Photo Archive to retrieve specific, general, and subjective photos. The study identified core relevance criteria used across the three different image searches, and found that the participants in the general and subjective image searches relied more on personal feelings and textual information of photos to make relevance judgments, while the participants in the specific image search depended more on the features of objects in photos. Four textual representations–caption, object name, location, and creation date, were chosen to see how useful they were for the participants making relevance judgments. The results show that location was the most useful information among the four textual representations.

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.

References

  1. Saracevic, T.: Relevance: A review of and a framework for the thinking on the notion in information science. Journal of the American Society for Information Science 26, 321–343 (1975)

    Article  Google Scholar 

  2. Saracevic, T.: Modeling interaction in information retrieval (IR): A review and proposal. In: Proceedings of the 59th Annual Meeting of the American Society for Information Science, vol. 33, pp. 3–9 (1996)

    Google Scholar 

  3. Schamber, L.: Relevance and information behavior. Annual Review of Information Science and Technology 29, 3–48 (1994)

    Google Scholar 

  4. Shatford, L.S.: Some issues in the indexing of images. Journal of the American Society for Information Science 4, 583–588 (1994)

    Google Scholar 

  5. Schamber, L.: User’s criteria for evaluation in a multimedia environment. Proceedings of the American Society of Information Science 28, 126–133 (1991)

    Google Scholar 

  6. Barry. C. L.: User-defined relevance criteria: An exploratory study. Journal of the American Society for Information Society, 45, 149-159 (1994)

    Google Scholar 

  7. Park, T.K.: The natural of relevance in information retrieval: An empirical study. Library Quarterly 63, 318–351 (1993)

    Article  Google Scholar 

  8. Wang, P.: A cognitive model of document selection of real users of information retrieval systems. Doctoral dissertation, University of Maryland, College Park, MD (1994)

    Google Scholar 

  9. Hirsh, S.G.: Relevance determination in children’s use of electronic resources: A case study. Proceedings of the American Society for Information Science 35, 63–72 (1998)

    Google Scholar 

  10. Choi, Y., Rasmussen, E.: Users’ relevance criteria in image retrieval in American history. Information Processing and Management 38, 695–726 (2002)

    Article  MATH  Google Scholar 

  11. Markkula, M., Sormunen, E.: End-user searching challenges indexing practices in the digital newspaper photo archive. Information Retrieval 1, 259–285 (2000)

    Article  MATH  Google Scholar 

  12. Enser, P., McGregor, C.: Analysis of visual information retrieval queries. Report on Project G16412 to the British Library Research and Development Department. British Library, London (1992)

    Google Scholar 

  13. Chen, H.-L.: An analysis of image queries in the field of art history. Journal of the American Society for Information Science and Technology 52, 260–273 (2001)

    Article  Google Scholar 

  14. Shatford, S.: Analyzing the subject of a picture: A theoretical approach. Cataloging & Classification Quarterly 6, 39–62 (1986)

    Article  Google Scholar 

  15. Ornager, S.: The newspaper image database: Empirical supported analysis of users’ topology and word association clusters. In: Proceedings of the 19th Annual Conference on Research and Development in Information Retrieval. SIGIR, pp. 190–197 (1995)

    Google Scholar 

  16. Jorgensen, C.: Indexing images: Testing an image description template. In: Proceedings of the 59th Annual Meeting of the American Society for Information Science, vol. 33, pp. 209-213(1996)

    Google Scholar 

  17. Fidel, R.: Image retrieval task: Implications for the design and evaluation of image databases. The New Review of Hypermedia and Multimedia 3, 181–199 (1997)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hung, TY., Zoeller, C., Lyon, S. (2005). Relevance Judgments for Image Retrieval in the Field of Journalism: A Pilot Study. In: Fox, E.A., Neuhold, E.J., Premsmit, P., Wuwongse, V. (eds) Digital Libraries: Implementing Strategies and Sharing Experiences. ICADL 2005. Lecture Notes in Computer Science, vol 3815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599517_9

Download citation

  • DOI: https://doi.org/10.1007/11599517_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30850-8

  • Online ISBN: 978-3-540-32291-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics