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Relevance feedback (RF) based on Support Vector Machines (SVMs) has been widely used in the Content-based image retrieval (CBIR). However, three problems are confronted: how to choose the optimal input feature subset, how to set the best kernel parameters, and the training data is scare in the RF procedure. To address those problems, an improved relevance feedback system based on hybrid PSO and active...
Having analyzed the drawbacks of image retrieval methods based on content, a novel region-based image retrieval algorithm using hybrid feature is proposed in this paper. The algorithm involves three steps: First, an image is segmented several regions by this algorithm. Second, spatial color distribution entropy is designed for each region, which takes not only the local color feature of the region...
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