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The Cram-Rao inequality states that the reciprocal of the Fisher information is a lower bound on the variance of any unbiased estimator, which is used to the analysis of the object matching in the paper. Based on the Fisher information analysis, the lower variance bounds of the object matching transformation parameters are inversely proportional to the total gradient energy. So the pixel point gradient...
This paper presents a new image labeling approach that implicitly incorporates top-down information using content-based image retrieval (CBIR) with conditional random field (CRF) model. To reduce the content ambiguities a small content similar training set for CRF labeling is built using retrieved matches from CBIR. To achieve global consistency of image labeling, a novel CRF probabilistic model with...
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