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Visual saliency detection provides an alternative methodology to semantic image understanding in many applications such as region-based image retrieval and adaptive compression of images. In this paper, we propose an approach which utilizes both global and local cues to extract saliency information. Our method can achieve better performance than existing saliency detection methods in terms of precision...
Modeling visual attention is a challenging task for machine vision. In this paper, inspired by the mechanism of human visual system, we propose an integrated model to detect generic salient-regions in a purely bottom-up manner. Instead of only employing early visual features in most relevant works, the saliency of discriminative local regions is also conducted to represent the spatial entropy, which...
Salient regions detection is becoming more and more important due to its useful application in image representation and understanding. The accurate detection of salient regions can reduce the complexity and improve the efficiency of image processing. In this paper, a visual attention model based on multi-scale local contrast of low level features is proposed. In the proposed model, a multi-scale transform...
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