A Model of Saliency - based VisualAttention for Rapid Scene

A Model of Saliency-based Visual Attention for Rapid Scene Analysis Laurent Itti, Christof Koch and Ernst Niebur 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 e cient manner, conspicuous locations to be analyzed in detail.