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Video saliency detection is typically performed by combining temporal saliency and spatial saliency, which are detected separately. Among various available techniques, uncertainty-based combination is a unique and promising approach. In this paper, we study the uncertainty of each point within a map generated from video saliency detection. We develop an adaptive temporal correlation-based method for...
This paper presents a new unsupervised uncertainty estimation method for video saliency detection using spatial cues of the saliency map. The algorithm exploits the relationship between a pixel and its spatial neighbours in saliency maps to estimate the uncertainty of the saliency detected at the pixel location. Unlike supervised methods that fits uncertainty model to available training data, the...
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