Improving image representation with relevance judgements from the searchers

Authors:
Liudmila V. Boldareva
Affiliations:
University of Twente, Enschede, The Netherlands
Venue:
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Year:
2005

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Abstract

In visual information retrieval, a semantic gap exists due to the poor match between machine-understood content of an information object and the userpercepted one. The mismatch of perception results in di.culties for a user in formulating the query, and consequently in inability for the retrieval system to produce satisfactory answers. Adding searcher's relevance judgements for (intermediary) search results is known to improve the retrieval. With relevance feedback the system learns the user's information need through interaction.