Abstract
the paper describes a new relevance feedback mechanism that evaluates the distribution of the features of images judged relevant or not relevant by the user, and dynamically updates both the similarity measure and query in order to accurately represent the user’s particular information needs. Experimental results are reported to demonstrate the effectiveness of this mechanism.
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© 1999 Springer-Verlag Berlin Heidelberg
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Ciocca, G., Schettini, R. (1999). Using a Relevance Feedback Mechanism to Improve Content-Based Image Retrieval. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_14
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DOI: https://doi.org/10.1007/3-540-48762-X_14
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