Information Divergence Based Saliency Detection with a Global Center-Surround Mechanism


In this paper a novel technique for saliency detection called Global Information Divergence is proposed. The technique is based on the diversity in information between two regions. Initially patches are extracted at multi-scales from the input images. This is followed by reducing the dimensionality of the extracted patches using Principal Component Analysis… (More)
DOI: 10.1109/ICPR.2014.590

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