The overarching conclusion is that human vision is based on a general purpose processor that can be dynamically tuned to the task and the scene viewed on a moment-by-moment basis. Tsotsos offers a comprehensive, up-to-date overview of attention theories and models and a full description of the Selective Tuning model, confining the formal elements to two chapters and two appendixes. The text is accompanied by more than illustrations in black and white and color; additional color illustrations and movies are available on the book's Web site.
Sign In or Create an Account. Advanced Search. User Tools. Sign In. Tsotsos John K. ISBN: pp. May A Computational Perspective on Visual Attention. By John K. Computational Foundations PDF Publication Type. More Filters. Attention and Cognition: Principles to Guide Modeling. A Theory of Attention for Cognitive Systems. Attention provides a way to direct limited cognitive resources to a subset of available information.
In the human case, this capacity enables selective mental processing, thereby shaping what we see, … Expand. View 1 excerpt, cites results. On the control of attentional processes in vision. Medicine, Computer Science. Highly Influenced. View 20 excerpts, cites methods, background and results. Attention: The Messy Reality. The overarching conclusion is that human vision is based on a general purpose processor that can be dynamically tuned to the task and the scene viewed on a moment-by-moment basis.
Tsotsos offers a comprehensive, up-to-date overview of attention theories and models and a full description of the Selective Tuning model, confining the formal elements to two chapters and two appendixes. The text is accompanied by more than illustrations in black and white and color; additional color illustrations and movies are available on the book's Web site.
The algorithmic architecture of Tsotsos' updated selective tuning model will have immediate appeal for computational neuroscientists John Tsotsos manages to achieve the difficult task of striking a good balance between an extensive overview and greater depth given the interdisciplinary nature of the theme. This book is a must read for Ph.
D students who are working in this area, as it explicitly states several open topics of research and even offers overt hints and methods to address them.
In addition to a giving us comprehensive presentation of John Tsotsos's important theory of visual attention, this book provides an excellent grounding in the fundamental issues, as seen from a rigorous, computational point of view.
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