An analysis of failed queries for web image retrieval

Journal of Information Science

Volumn 34, Issue 3, 2008, Pages 275-289

  Pu, Hsiao Tieh ^a  

^a NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

Author keywords

Image retrieval; Image user studies; Query log analysis; Web image search engines

Indexed keywords

CONTENT BASED RETRIEVAL; IMAGE CLASSIFICATION; QUALITY OF SERVICE; SEARCH ENGINES; WEB SERVICES;

IMAGE USER STUDIES; QUERY LOG ANALYSIS; WEB IMAGE SEARCH ENGINES;

QUERY PROCESSING;

EID: 43449135346     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/0165551507084140     Document Type: Article

References (45)

1. E. Rasmussen, Indexing images, Annual Review of Information Science and Technology 32 (1997) 169-96.
2. N.G. Tomaiuolo, When image is everything, Searcher 10 (1) (2002). Available at: www.infotoday.com/searcher/jan02/tomaiuolo.htm (accessed September 2006 ).
3. TASI (Technical Advisory Service for Images), A Review of Image Search Engines (2006). Available at: www.tasi.ac.uk/resources/searchengines.html (accessed September 2006 ).
4. J. Smith and S. Chang, An image and video search engine for the world wide web. In: I.K. Sethi and R.C. Jain (eds), Storage and Retrieval for Image and Video Databases: Proceedings of SPIE, Volume 3022 (1997) 84-95.
5. Y. Choi and E. Rasmussen, 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) (2003) 498-511.
6. C. Silverstein, M. Henzinger, H. Marais and M. Moricz, Analysis of a very large Web search engine query log, SIGIR Forum 33 (1) (1999) 6-12.
7. B.J. Jansen, A. Spink and T. Saracevic, Real life, real users, and real needs: a study and analysis of user queries on the web, Information Processing and Management 36 (2) (2002) 207-27.
8. Hsiao-Tieh Pu, Shui-Lung Chuang and Chyan Yang, Subject categorization of query terms for exploring Web users' search interests, Journal of the American Society for Information Science and Technology 53 (8) (2002) 617-30.
9. Hsiao-Tieh Pu, An analysis of web image queries for search. In: R.J. Todd (ed.), Proceedings of 66th Annual Meeting of the American Society for Information Science and Technology (ASIST 2003), 2003, Long Beach, CA (Information Today, Medford, NJ, 2003) 340-48.
10. Hsiao-Tieh Pu, A comparative analysis of web image and textual queries, Online Information Review 25 (5) (2005) 457-67.
11. P.G.B. Enser and C. McGregor, Analysis of Visual Information Retrieval Queries, British Library Research and Development Report 6104 ( British Library, London, 1993 ).
12. R.S. Taylor, Question-negotiation and information seeking in libraries: the process of asking questions, College and Research Libraries 29 (1968) 178-94.
13. H.P. Jespersen and J.K. Jespersen, The problem of subject access to visual materials, Journal of Educational Media and Library Science 42 (1) (2004) 37-48.
14. P. G.B. Enser and C.J. Sandom, Towards a comprehensive survey of the semantic gap in visual image retrieval. In: E.M. Bakker et al. (eds), Proceedings of the 2nd International Conference on Image and Video Retrieval (CIVR2003), Urbana-Champaign, IL (Springer, Berlin, 2003) 279-87. [Lecture Notes in Computer Science, 2728.]
15. J.S. Hare, P.H. Lewis, P.G.B. Enser and C.J. Sandom, Mind the gap: another look at the problem of the semantic gap in image retrieval. In: E.Y. Chang et al. (eds), Multimedia Content Analysis, Management and Retrieval: Proceedings of SPIE 6073 (2006) 75-86.
16. L. Hollink, A. Schreiber, A.T.G. Wielemaker and B. Wielinga, Semantic annotation of image collections. In: R. Dieng-Kuntz and F. Gandon (eds), Proceedings of KCAP'2003 Workshop on Knowledge Management and the Semantic Web, 2003, Sanibel, FL. Available at: www.cs.vu.nl/∼laurah/1/papers/ Hollink03_saic.pdf (accessed September 2006 )
17. J. Jeon, V. Lavrenko and R. Manmatha, Automatic image annotation and retrieval using cross-media relevance models. In: J. Challan et al. (eds), Proceedings of 26th Annual International ACM SIGIR Conference, 2003, Toronto, Canada (ACM, New York, 2003) 119-26.
18. M. Srikanth, J. Varner, M. Bowden and D. Moldovan, Exploiting ontologies for automatic image annotation. In: G. Marchionini et al. (eds), Proceedings of 28th Annual International ACM SIGIR Conference, 2005, Salvador, Brazil (ACM, New York, 2005) 552-8.
19. K. Markey, Access to iconographical research collections, Library Trends 37 (2) (1988) 154-74.
20. S. Hastings, Query categories in a study of intellectual access to digitised art images. In: T. Kinney (ed.), Proceedings of the ASIS 58th Annual Meeting, 1995, Chicago, IL (Information Today, Medford, NJ, 1995) 3-8.
21. H. Chen, An analysis of image queries in the field of art history, Journal of the American Society for Information Science and Technology 52 (3) (2001) 260-73.
22. S. Ornager, Image retrieval: theoretical and empirical user studies on accessing information in images. In: C.Schwartz (ed.), Proceedings of the ASIS 60th Annual Meeting, 1997, Washington, DC (Information Today, Medford, NJ, 1997) 202-11.
23. M. Markkula and E. Sormunen, End-user searching challenges indexing practices in the digital newspaper photo archive, Information Retrieval 1 (4) (2000) 259-85.
24. L.H. Keister, User types and queries: impact on image access systems. In R. Fidel et al. (eds), Challenges in Indexing Electronic Text and Images (Learned Information, Medford, NJ, 1994) 7-22.
25. L. Hollink, A. Schreiber, B. Wielinga and M. Worring, Classification of user image descriptions, International Journal of Human-Computer Studies 61 (5) (2004) 601-26.
26. C. Jrgensen and P. Jrgensen, Image querying by image professionals, Journal of the American Society for Information Science and Technology 56 (12) (2005) 1346-59.
27. P. G.B. Enser, Progress in documentation: pictorial information retrieval, Journal of Documentation 51 (2) (1995) 126-70.
28. C. Jrgensen, Attributes of images in describing tasks, Information Processing and Management 34 (2 / 3) (1998) 161-74.
29. R. Fidel, The image retrieval task: implications for the design and evaluation of image databases, The New Review of Hypermedia and Multimedia 3 (1997) 181-99.
30. M.L. Kherfi, D. Ziou and A. Bernardi, Image retrieval from the world wide web: issues, techniques, and systems, ACM Computing Surveys 36 (1) (2004) 35-67.
31. B.J. Jansen and U. Pooch, A review of web searching studies and a framework for future research, Journal of the American Society for Information Science 52 (3) (2001) 235-46.
32. A. Goodrum and A. Spink, Image searching on the Excite web search engine, Information Processing and Management 37 (2) (2001) 295-312.
33. D.T. Covey, Usage and Usability Assessment: Library Practices and Concerns (Digital Library Federation, Council on Library and Information Resources, Washington, DC, 2002). Available at: www.clir.org/pubs/reports/ pub105/pub105.pdf (accessed September 2006 ).
34. P. Brown, R. Hidderley, H. Griffin and S. Rollason, The democratic indexing of images, The New Review of Hypermedia and Multimedia 2 (1996) 107-21.
35. B. Glaser and A. Strauss, The Discovery of Grounded Theory ( Aldine, Chicago, 1967 ).
36. L.H. Armitage and P.G.B. Enser, Analysis of user need in image archives, Journal of Information Science 23 (4) (1997) 287-99.
37. S. Westman and P. Oittinen, Image retrieval by end-users and intermediaries in a journalistic work context. In: I. Ruthven (ed.), Proceedings of the 1st International Conference on Information Interaction in Context, Copenhagen, Denmark, 2006 (ACM, New York, 2006) 102-10.
38. K. Roddy, Subject access to visual resources: what the 90s might portend, Library Hi Tech 9 (1) (1991) 45-9.
39. J.M. Turner, Subject access to pictures: considerations in the surrogation and indexing of visual documents for storage and retrieval, Visual Resources 9 (3) (1993) 241-71.
40. E. Panofsky, Studies in Iconology: Humanistic Themes in the Art of the Renaissance ( HarperCollins, London / Glasgow, 1972 ).
41. S. Shatford, Analysing the subject of a picture: a theoretical approach, Cataloguing and Classification Quarterly 6 (3) (1986) 39-62.
42. J. Eakins, Techniques for Image Retrieval, Library and Information Briefings 85 (1998) 1-15.
43. A. Jaimes and S.-F. Chang, A conceptual framework for indexing visual information at multiple levels. In: G.B. Beretta and R. Schettini (eds), Internet Imaging: Proceedings of SPIE 3964 ( 2000 ).
44. P.G.B. Enser, Visual image retrieval: seeking the alliance of concept-based and content-based paradigms, Journal of Information Science 26 (4) (2000) 199-210.
45. E. Rosch, Natural categories, Cognitive Psychology 4 (3) (1973) 328-50.