Visual Attention Mechanisms
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Visual Attention Mechanisms
Author: Virginio Cantoni
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Proceedings of the Fifth International School on Neural Networks "E.R. Caianiello" on Visual Attention MechaProceedings of the Fifth International School on Neural Networks "E.R. Caianiello" on Visual Attention Mechanisms, held 23-28 October 2000 in Vietri sul Mare, Italy.nisms, held 23-28 October 2000 in Vietri sul Mare, Italy. The book covers a number of broad themes relevant to visual attention, ranging from computer vision to psychology and physiology of vision. The main theme of the book is the attention processes of vision systems and it aims to point out the analogies and the divergences of biological vision with the frameworks introduced by computer scientists in artificial vision.
Mechanisms of Visual Attention
In order to produce coherent behaviour in a complex world, forms of visual attention are necessary in order for us to select appropriate objects for action. Over the past ten years, there have been considerable advances in research into visual attention, with many of these advances linked to interdisciplinary research in experimental psychology, neuropsychology, neurophysiology and functional imaging. This work has begun to allow us to understand not only the functional properties of visual attention, but also how attentional processes are localized in the brain: the cognitive neuroscience of visual attention. This special issue draws together research from leading figures in this field, to highlight recent progress in understanding how selective processes operate in perception and action.
Selective Visual Attention
Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications including object recognition, unmanned vehicle navigation, and image and video coding and processing. In this book, the authors provide an up to date and highly applied introduction to the topic of visual attention, aiding researchers in creating powerful computer vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual attention models, and the authors' contributions on visual attention models, and applications in various image and video processing tasks. This book is geared for graduates students and researchers in neural networks, image processing, machine learning, computer vision, and other areas of biologically inspired model building and applications. The book can also be used by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing. Provides a key knowledge boost to developers of image processing applications Is unique in emphasizing the practical utility of attention mechanisms Includes a number of real-world examples that readers can implement in their own work: robot navigation and object selection image and video quality assessment image and video coding Provides codes for users to apply in practical attentional models and mechanisms