An Analysis of Photo Editors' Query Formulations for Image Retrieval

10.6575/JoLIS.2012.80.02

Tsai-Youn Hung

Image retrieval ； Query formulation ； Query analysis

圖書與資訊學刊

80期（2012 / 05 / 01）

13 - 36

英文

The objective of this study is to examine the characteristics of queries raised by searchers in the process of collecting image information. The study involves 30 photo editors using the photo archive database system of the Associated Press (AP) to retrieve specific, general, and subjective photos. The results show that searchers usually raise a great number of queries per search and each query contains few terms. Generally, searchers utilize various combinations of terms on a trial-and-error basis to find relevant photos. Image retrieval for subjective photos is revealed to be the most difficult for searchers to formulate and reformulate queries, and as a result more complex querying strategies are employed. The study suggests that a sensitive and responsive thesaurus system be established, whose display of synonymous and hierarchical terms may help searchers construct their queries more correctly and more efficiently. In addition, an image system that can integrate current theories in human linguistic and visual processing is also desirable, which may offer better support for image retrieval by allowing searchers to simultaneously input both textual and visual queries.

1. Panofsky, E. (1939). Studies in iconology: Humanistic themes in the art of the Renaissance. New York: Oxford University Press
2. Armitage, L.,Enser, P.(1997).Analysis of user need in image archives.Journal of Information Science,23(4),287-299.
3. Chen, H.-L.(2001).An analysis of image queries in the field of art history.Journal of the American Society for Information Science and Technology,52(3),260-273.
4. Choi, Y.,Rasmussen, E.(2003).Searching for images: The analysis of users' queries for image retrieval in American History.Journal of the American Society for Information Science and Technology,54(6),498-511.
5. Enser, P.(2008).The evolution of visual information retrieval.Journal of Information Science,34,531-546.
6. Enser, P.,McGregor, C.(1993).British Library Research and Development Department ReportBritish Library Research and Development Department Report,London:British Library.
7. Escalante, H. J.,Hernández, C.,López, A.,Marín, H.,Montes, M.,Morales, E.(2008).Towards annotation-based query and document expansion for image retrieval.Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007,Berlin, Heidelberg:
8. Feng, S.(2008).Massachusetts,University of Massachusetts Amherst.
9. Fidel, R.(1997).Image retrieval task: Implications for the design and evaluation of image databases.The New Review of Hypermedia and Multimedia,3,181-199.
10. Goodrum, A.,Bejune, M.,Siochi, A.(2003).A state transition analysis of image search patterns on the Web.Image and Video Retrieval: Second International Conference, CIVR 2003,Berlin:
11. Goodrum, A.,Spink, A.(2001).Image searching on the Excite Web search engine.Information Processing & Management,37,295-311.
12. Greisdorf, H.,O''Connor, B.(2002).Modelling what users see when they look at images: a cognitive viewpoint.Journal of Documentation,58(1),6-29.
13. Hastings, S. K.(1995).Query categories in a study of intellectual access to digitized art images.ASIS'95: Proceedings of the 58th ASIS annual meeting,Medford, NJ:
14. Hastings, S. K.(1994).Florida State University.
15. Hung, T. -Y.(2009).Photo editors' search tactics and moves for image retrieval.Journal of Library and Information Science,35(1),23-36.
16. Jansen, B. J.(2008).Searching for digital images on the Web.Journal of Documentation,64(1),81-101.
17. Jansen, M. J.,Spink, A.,Saracevic, T.(2000).Real life, real users, and real needs: A study of analysis of user queries on the Web.Information Processing and Management,36(2),207-227.
18. Jörgensen, C.(1998).Attributes of images in describing tasks.Information Processing & Management,34(2/3),161-174.
19. Jörgensen, C.(1996).Indexing images: Testing an image description template.ASIS '96: Proceedings of the 59th Annual Meeting of the American Society for Information Science,Medford, NJ:
20. Jörgensen, C.(1995).New York State,Syracuse University.
21. Jörgensen, C.,Jörgensen, P.(2003).Image querying by image professionals.ASIST 2003: Proceedings of the 66th ASIST Annual Meeting,Medford, NJ:
22. Keister, L.(1994).User types and queries: Impact on image access systems.Challenges in Indexing Electronic Text and Images,Medford, NJ:
23. Layne, S. S.(1994).Some issues in the indexing of images.Journal of the American Society for Information Science,45(8),583-588.
24. Markkula, M.,Sormunen, E.(1998).Searching for photos - journalists' practices in pictorial IR.The Challenge of Image Retrieval,Newcastle upon Tyne, UK:
25. McCay-Peet, L.,Toms, E.(2009).Image use within the work task model: Image as information and illustration.Journal of the American Society for Information Science and Technology,60(12),2416-2429.
26. Meij, E.,Bron, M.,Hollink, L.,Huurnink, B.,de Rijke, M.(2009).Learning semantic query suggestions.The Semantic Web: 8th International Semantic Web Conference, ISWC 2009,Berlin, Heidelberg:
27. Ornager, S.(1997).Image retrieval: Theoretical analysis and empirical user studies on accessing information in images.Proceedings of the 60th Annual Meeting of the American Society for Information Science
28. Pu, H.-T.(2008).An analysis of failed queries for Web image retrieval.Journal of Information Science,34(3),275-289.
29. Pu, H.-T.(2003).An analysis of Web image queries for search.Proceedings of the 66th Annual Meeting of the American Society for Information Science and Technology,Medford NJ:
30. Santini, S.(2001).Exploring image databases context-based retrieval.San Diego:Academic Press.
31. Shatford, S.(1986).Analyzing the subject of a picture: A theoretical approach.Cataloging & Classification Quarterly,6(3),39-62.
32. Spink, A.,Saracevic, T.(1997).Interactive information retrieval sources and effectiveness of search terms during mediated online searching.Journal of American Society for Information Science,48(8),741-761.
33. Sutcliffe, A.,Enni, M.,Watkinson, S.(2000).Empirical studies on end-user information searching.Journal of American Society for Information Science,51(13),1211-1231.
34. Tjondronegror, D.,Spink, A.,Jansen, B. J.(2009).A study and comparison of multimedia Web searching: 1997-2006.Journal of the American Society for Information Science and Technology,60(9),1756-1768.
35. Turner, J. M.(1995).Comparing user-assigned terms with indexer-assigned terms for storage and retrieval of moving images: Research results.Proceedings of the 58th Annual Meeting of the American Society for Information Science
36. Vakkari, P.(1998).Growth of theories on information seeking: An analysis of growth of a theoretical research program on relation between task complexity and information seeking.Information Processing and Management,34(3/4),361-382.
37. Wang, J. Z.,Grieb, K.,Zhang, Y.,Chen, C.-C.,Chen, Y.,Li, J.(2006).Machine annotation and retrieval for digital imagery of historical materials.International Journal on Digital Libraries,6(1),18-29.
38. Westman, S.,Oittinen, P.(2006).Image retrieval by end-users and intermediaries in a journalistic work context.Proceedings of the 1st International Conference on Information Interaction in Context,New York, NY:
39. Wildemuth, B.,Jacob, E. K.,Fullington, A.,De Bliek, R.,Friedman, C. P.(1991).A detailed analysis of end-user search behaviors.Proceedings of the 54th Annual Meeting of the American Society for Information Science,Medford, N. J.: