A model of saliency-based visual attention for rapid scene analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence1998Vol. 20(11), pp. 1254–1259
Citations Over TimeTop 1% of 1998 papers
Abstract
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.
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