A parameter adjustment method for relevance feedback
Wan, H., Chowdhury, Morshed and Sajjanhar, Atul 2003, A parameter adjustment method for relevance feedback, in CISST 2003 : Proceedings of the international conference on imaging science, systems, and technology, CSREA Press, Las Vegas, Nev., pp. 619-625.
Imaging Science, Systems, and Technology Conference
Place of publication
Las Vegas, Nev.
Various relevance feedback techniques have been applied in Content-Based Image Retrieval (CBIR). By using relevance feedback, CBIR allows the user to progressively refine the system's response to a query. In this paper, after analyzing the feature distributions of positive and negative feedbacks, a new parameter adjustment method for iteratively improving the query vector and adjusting the weights is proposed. Experimental results demonstrate the effectiveness of this method.
Field of Research
080305 Multimedia Programming
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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