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Improving Saliency Detection Via Multiple Kernel Boosting and Adaptive Fusion

Brand:Image Atlas
Product Code:PROJ7190
Availability:In Stock
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  • 4,500.00INR

Novel framework to improve the saliency detection performance of an existing saliency model, which is used to generate the initial saliency map. First, a novel regional descriptor consisting of regional self-information, regional variance, and regional contrast on a number of features with local, global, and border context is proposed to describe the segmented regions at multiple scales. Then, regarding saliency computation as a regression problem, a multiple kernel boosting method based on support vector regression (MKB-SVR) is proposed to generate the complementary saliency map.

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Tags: Matlab-Digital Image Processing

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