Cascaded active learning for object retrieval using multiscale coarse to fine analysis


In this paper, we describe an active learning scheme which performs coarse to fine testing using a multiscale patch-based representation of images to retrieve objects in large satellite image repositories. The proposed hierarchical top-down approach reduces step by step the size of the analysis window, eliminating each time large parts of the images… (More)
DOI: 10.1109/ICIP.2011.6116251


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