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IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 11. (1998), pp. 1254-1259 Key: citeulike:2776373
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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. Index terms: Visual ...
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