Content Based Image Retrieval Using Region Labelling


This paper proposes a content based image retrieval system that uses semantic labels for determining image similarity. Thus, it aims to bridge the semantic gap between human perception and low-level features. Our approach works in two stages. Image segments, obtained from a subset of images in the database by an adaptive k-means clustering algorithm, are… (More)
DOI: 10.1007/11949619_78


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