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In this paper, we present a saliency-aware image completion method which takes full advantage of a saliency detection result. On one hand, the saliency map is incorporated into the completion order computation procedure to take human visual attention into account. On the other hand, the saliency map used in patch matching makes the searched result more accurate and smooth. Furthermore, we employ an...
A frequency domain algorithm using the image anisotropic is proposed for visual saliency in this paper. Based on the SSS algorithm, we generate 8 saliency maps corresponding 8 Gaussian kernels. Then, use the Renyi entropy to divide these saliency maps into two classes and select one optimal map for each class. Finally, combine these two optimal maps for the finally saliency map. The experimental comparison...
Saliency detection has been a very active research area in recent years. Most traditional methods suffer from the problem that existing visual features are not discriminative or not robust enough to predict salient locations. As a result, the experimental results of these previous methods are still far from satisfactory. In this paper, we propose to utilize a two-layer Deep Boltzmann Machine (DBM)...
Saliency detection can find important target of scene to improve the subsequent processing speed, so it has important applications in image and video processing fields. But almost all the saliency detection methods depend on the differences between target and background, i.e., the target priors. In this paper we provide a new method using the background priors. Firstly, we decompose an image into...
In this paper we present a salient object detection model from an over-segmented image. The input image is initially segmented by the mean-shift segmentation algorithm and then over-segmented by a quad mesh to even smaller segments. Such segmented regions overcome the disadvantage of using patches or single pixels to compute saliency. Segments that are similar and spread over the image receive low...
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