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In image retrieval, users' search intention is usually specif ed by textual queries, exemplar images, concept maps, and even sketches, which can only express the search intention partially. These query strategies lack the abilities to indicate the Regions Of Interests (ROIs) and represent the spatial or semantic correlations among the ROIs, which results in the so-called semantic gap between users' search intention and images' low-level visual content. In this paper, we propose a novel imagedoi:10.1145/2647868.2654972 dblp:conf/mm/CaoWGHT14 fatcat:wbe6d7mfxvcxjghhv5eibycmfu