The relevance feedback algorithm based on fuzzy semantic relevance matrix in image retrieval

The semantic gap between low level visual features and high level semantic concepts is an obstacle to the development of image retrieval. Relevance feedback techniques narrow the semantic gap to some extent. In this paper a relevance feedback algorithm is presented based on fuzzy semantic relevance matrix (FSRM). During the retrieval process, the weights in the FSRM are adjusted according to user´s feedback and the FSRM are modified by learning more time. Experimental results show the effectiveness of the algorithm in the paper.