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<p><b>Abstract</b>—A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented. Multiscale image features are combined into a single topographical saliency map. A dynamical neural network then selects attended locations in order of decreasing saliency. The system breaks down the complex problem of scene understanding by rapidly selecting, in a computationally efficient manner, conspicuous locations to be analyzed in detail.</p>
Visual attention, scene analysis, feature extraction, target detection, visual search.

E. Niebur, C. Koch and L. Itti, "A Model of Saliency-Based Visual Attention for Rapid Scene Analysis," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 20, no. , pp. 1254-1259, 1998.
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