Abstract
Surprisingly little is known about how different users conduct image searches. As a result, even the most sophisticated systems available have limited appeal to the end-user. This paper describes a study eliciting user requirements for future image databases through an online questionnaire. 125 experienced image searchers were questioned about the functions and modes of interaction that they currently use, and those they would like to see in future systems. The results of this survey, and their implications for retrieval systems design, are discussed in some detail.
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References
Bjarnestam, A.: Description of an image retrieval system. presented at The Challenge of Image Retrieval research workshop, Newcastle upon Tyne, February 5 (1998)
Eakins, J.P., Graham, M.E.: Content-based Image Retrieval: A report to the JISC Technology Applications Programme (1999), http://www.unn.ac.uk/iidr/report.html
Smeulders, A.W. M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Transactions of Pattern Analysis and Machine Intelligence 22(12), 1349–1380 (2000)
Enser, P.G.B.: Pictorial Information Retrieval. Journal of Documentation 51, 126–170 (1995)
Eakins, J.P.: Key issues in image retrieval research. In: Keynote address to ASCI 2002 conference, Lochem, the Netherlands (2002)
Flickner, M., et al.: Query by image and video content: the QBIC system. IEEE Computer 28(9), 23–32 (1995)
Burford, B., Briggs, P., Eakins, J.P.: A taxonomy of the image: on the classification of content for image retrieval. Visual Communication 2(2), 123–161 (2003)
Conniss, L.R., Ashford, J.A., Graham, M.E.: Information seeking behaviour in image retrieval: VISOR I Final Report. Institute for Image Data Research (Library and Information Commission Research Report 95) (2000)
Davis, F.D.: Perceived usefulness, perceived ease of use. and user acceptance of information technology. I 13(3), 319–340 (1989)
Enser, P.G.B.: Visual image retrieval: seeking the alliance of concept-based and content-based paradigms. Journal of Information Science 26(4), 199–210 (2000)
Athitsos, V., Swain, M.J., Frankel, C.: Distinguishing photographs and graphics on the World Wide Web. In: Proc IEEE Workshop on Content-based Access of Image and Video Libraries, pp. 10–17 (1997)
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© 2004 Springer-Verlag Berlin Heidelberg
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Eakins, J.P., Briggs, P., Burford, B. (2004). Image Retrieval Interfaces: A User Perspective. In: Enser, P., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds) Image and Video Retrieval. CIVR 2004. Lecture Notes in Computer Science, vol 3115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27814-6_73
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DOI: https://doi.org/10.1007/978-3-540-27814-6_73
Publisher Name: Springer, Berlin, Heidelberg
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