Information retrieval interaction
Information retrieval interaction
Spatial querying for image retrieval: a user-oriented evaluation
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Learnable visual keywords for image classification
Proceedings of the fourth ACM conference on Digital libraries
Query refinement for multimedia similarity retrieval in MARS
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Effective automatic image annotation via a coherent language model and active learning
Proceedings of the 12th annual ACM international conference on Multimedia
Evidence Combination for Multi-Point Query Learning in Content-Based Image Retrieval
ISMSE '04 Proceedings of the IEEE Sixth International Symposium on Multimedia Software Engineering
EGO: A personalized multimedia management and retrieval tool: Research Articles
International Journal of Intelligent Systems
Exploring results organisation for image searching
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Can a workspace help to overcome the query formulation problem in image retrieval?
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
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In this paper we study interfaces for image retrieval systems. Current image retrieval interfaces are limited to providing query facilities and result presentation. The user can inspect the results and possibly provide feedback on their relevance for the current query. Our approach, in contrast, encourages the user to group and organise their search results and thus provide more fine-grained feedback for the system. It combines the search and management process, which – according to our hypothesis – helps the user to conceptualise their search tasks and to overcome the query formulation problem. An evaluation, involving young design-professionals and different types of information seeking scenarios, shows that the proposed approach succeeds in encouraging the user to conceptualise their tasks and that it leads to increased user satisfaction. However, it could not be shown to increase performance. We identify the problems in the current setup, which when eliminated should lead to more effective searching overall.