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- W2040691750 abstract "Topological properties are with invariance and take priority over other features, which play an important role in cognition. This paper introduces a new attention selection model called TPA (topological properties-based attention), which adopts topological properties and quaternion. In TPA, using Unit-linking PCNN (Pulse Coupled Neural Network) hole-filter expresses an important topological property (the connectivity) in visual attention selection. Meanwhile, using the quaternion Fourier transform based phase spectrum of an image or a frame in a video obtains the spatio-temporal saliency map, which shows the result of attention selection. Adjusting the weight of a topological channel can change its influence. The experimental results show that TPA reflects the real attention selection more accurately than PQFT (Phase spectrum of Quaternion Fourier Transform)." @default.
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- W2040691750 date "2013-10-01" @default.
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- W2040691750 title "Attention selection using global topological properties based on pulse coupled neural network" @default.
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- W2040691750 doi "https://doi.org/10.1016/j.cviu.2013.05.004" @default.
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