An Efficient Implementation of Context-aware Saliency Using a Stochastic Approach

The computation of saliency from an image and a video is an interesting challenge in image processing and computer vision. Context-aware saliency, which addresses the saliency based on the geometric structure of an image, is known as one of the most powerful schemes for computing saliency. An obstacle of the context-aware scheme is the heavy computation load. We reduce computational loads in a great scale by applying the dart throwing algorithm.

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