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Content-based Image Retrieval via Multi-scale Graph-based Segmentation Host Publication: Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet Authors: I. Vanhamel, C. Mihai, H. Sahli and I. Pratikakis Publication Date: Mar. 2007 Number of Pages: 8
Abstract: A region oriented strategy for content-based image retrieval is presented. It is based on a meaningful segmentation procedure that can provide proper distributions for matching through the Earth Mover's Distance (EMD) as a similarity metric. The segmentation procedure is based on a multiscale watershed-driven algorithm which extracts meaningful regions using a graph-cut algorithm that operates on a multiscale region adjacency graph. In this framework, the proposed robust feature extraction and the many-to-many region matching along with the region weighting for enhancing feature discrimination play a major role. Experimental results demonstrate the performance of the proposed strategy.
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