Skip to main content
Article thumbnail
Location of Repository

An explorative study of interface support for image searching

By Jana Urban and Joemon M. Jose


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 onceptualise their search tasks and to overcome the query formulation problem. An evaluation, involving young design-professionals and di®erent 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

Topics: QA75
Publisher: Spinger
Year: 2006
OAI identifier:
Provided by: Enlighten

Suggested articles


  1. (2000). A.P.: The role of evaluation in the development of content-based retrieval techniques.
  2. (2003). Automatic image annotation and retrieval using cross-media relevance models. In: doi
  3. (2000). Content-based image retrieval at the end of the early years. doi
  4. (2004). E®ectiv automatic image annotation via a coherent language model and active learning. In: doi
  5. (2005). EGO: A personalised multimedia management and retrieval tool. doi
  6. (2004). Evidence combination for multi-point query learning in content-based image retrieval. In: doi
  7. (1998). Image Processing, Analysis, and Machine Vision. 2nd edn. doi
  8. (1992). Information Retrieval Interaction. doi
  9. (2005). J.M.: Exploring results organisation for image searching. In: doi
  10. (1999). Learnable visual keywords for image classi¯cation. In: doi
  11. (1995). Query by image and video content: The QBIC system. doi
  12. (1999). Query re¯nement for multimedia similarity retrieval in MARS. In: doi
  13. (2003). Relevance feedback in image retrieval: A comprehensive review. doi
  14. (1998). Relevance feedback: A power tool for interactive content-based image retrieval. doi
  15. (1995). Similarity of color images. In: doi
  16. (1998). Spatial querying for image retrieval: A useroriented evaluation. In: doi
  17. (1996). T.P.: Query formulation as an information retrieval problem. doi
  18. (2000). T.S.: Optimizing learning in image retrieval. In: doi
  19. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. doi
  20. (1962). Visual pattern recognition by moment invariants. doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.