Can a Workspace Help to Overcome the Query Formulation Problem in Image Retrieval?
We have proposed a novel image retrieval system that incorporates a workspace where users can organise their search results. A task-oriented and user-centred experiment has been devised involving design professionals and several types of realistic search tasks. We study the workspace’s effect on two aspects: task conceptualisation and query formulation. A traditional relevance feedback system serves as baseline. The results of this study show that the workspace is more useful with respect to both of the above aspects. The proposed approach leads to a more effective and enjoyable search experience.
KeywordsImage Retrieval Search Task Relevance Feedback Relevant Image Query Formulation
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- 1.Urban, J., Jose, J.M.: EGO: A personalised multimedia management and retrieval tool. In: International Journal of Intelligent Systems (IJIS), Special Issue on ‘Intelligent Multimedia Retrieval’ (2005) (to appear)Google Scholar
- 4.Rui, Y., Huang, T.S.: Optimizing learning in image retrieval. In: IEEE Proc. of Conf. on Computer Vision and Pattern Recognition (CVPR 2000), pp. 236–245. IEEE Computer Society Press, Los Alamitos (2000)Google Scholar
- 5.Berkley’s Digital Library Project (2005), http://elib.cs.berkeley.edu/photos/corel/
- 7.Urban, J., Jose, J.M.: Evidence combination for multi-point query learning in content-based image retrieval. In: Proc. of the IEEE Sixth Int. Symposium on Multimedia Software Engineering (ISMSE 2004), pp. 583–586 (2004)Google Scholar
- 10.Ingwersen, P.: Information Retrieval Interaction. Taylor Graham, London (1992)Google Scholar