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The combination between winner-takes-all and synchronisation produces a mechanism for visual attention, because it allows one object and one only to be considered.
In the 3DV, the depth sensation is provided and depth is another key factor for visual attention in stereoscopic video.
Comparisons with classical methods for visual attention show that the proposed algorithm is well adapted to anisotropic filtering purposes.
An efficient model for visual attention is shown to have interesting applications to many real-life problems.
To reach real-time, the operations required for visual attention computation were optimally distributed on the analog and digital parts.
Motion is another important cue for visual attention detection in video, thus, a bottom-up spatiotemporal visual attention model is proposed for video sequences in [15].
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Overall, the emerging demand for visual attention-based applications for 3D multimedia has increased the need for computational saliency detection models for 3D multimedia content.
To further explore the possible overlap between memory and visual attention systems in the fly brain, we screened a panel of 36 olfactory long term memory (LTM) mutants for visual attention-like defects using an optomotor maze paradigm.
A model for aspects of visual attention based on the concept of selective tuning is presented.
Ease of testing and straightforward data interpretation make the task an attractive option for tests of visual attention.
Many neurophysiological studies have indicated that these firing-rate modulations in the visual cortex are responsible for shifts of visual attention at a psychological level of description (reviewed by Desimone & Duncan, 1995; Roelfsema, 2006).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com