PDF A Computational Perspective on Visual Attention (The MIT Press)
Description A Computational Perspective on Visual Attention (The MIT Press)
The derivation, exposition, and justification of the Selective Tuning model of vision and attention. Although William James declared in 1890, "Everyone knows what attention is," today there are many different and sometimes opposing views on the subject. This fragmented theoretical landscape may be because most of the theories and models of attention offer explanations in natural language or in a pictorial manner rather than providing a quantitative and unambiguous statement of the theory. They focus on the manifestations of attention instead of its rationale. In this book, John Tsotsos develops a formal model of visual attention with the goal of providing a theoretical explanation for why humans (and animals) must have the capacity to attend. He takes a unique approach to the theory, using the full breadth of the language of computation-rather than simply the language of mathematics-as the formal means of description. The result, the Selective Tuning model of vision and attention, explains attentive behavior in humans and provides a foundation for building computer systems that see with human-like characteristics. 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 100 illustrations in black and white and color; additional color illustrations and movies are available on the book's Web site
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A Computational Perspective on Visual Attention / The MIT ~ In this book, John Tsotsos develops a formal model of visual attention with the goal of providing a theoretical explanation for why humans (and animals) must have the capacity to attend. He takes a unique approach to the theory, using the full breadth of the language of computation—rather than simply the language of mathematics—as the formal means of description.
A Computational Perspective on Visual Attention / Books ~ The derivation, exposition, and justification of the Selective Tuning model of vision and attention.Although William James declared in 1890, "Everyone knows wha
Based on: “A Computational Perspective on Visual Attention ~ Visual processing time difficult to disentangle from motor processing time (for pointing at stimulus) Image copyrighted: "A Computational Perspective on Visual Attention, John K. Tsotsos, The MIT Press, Cambridge MA, 2011"
A Computational Perspective on Visual Attention ~ John K. Tsotsos is Professor of Computer Science and Engineering, Distinguished Research Professor of Vision Science, Canada Research Chair in Computational Vision at York University, and a Fellow of the Royal Society of Canada (FRSC).
Computational Perspective on Visual Attention - MIT Press ~ Although William James declared in 1890, “Everyone knows what attention is,” today, there are many different and sometimes opposing views on the subject. This fragmented theoretical landscape may exist because most of the theories and models of attention offer explanations in natural language or in a pictorial manner rather than providing a quantitative and unambiguous statement of the .
A Computational Perspective on Visual Attention / MIT CogNet ~ In this book, John Tsotsos develops a formal model of visual attention with the goal of providing a theoretical explanation for why humans (and animals) must have the capacity to attend. He takes a unique approach to the theory, using the full breadth of the language of computation—rather than simply the language of mathematics—as the formal means of description.
Computational Perspective on Visual Attention - University ~ Although William James declared in 1890, “Everyone knows what attention is,” today, there are many different and sometimes opposing views on the subject. This fragmented theoretical landscape may exist because most of the theories and models of attention offer explanations in natural language or in a pictorial manner rather than providing a quantitative and unambiguous statement of the .
A computational perspective on visual attention (Book ~ Get this from a library! A computational perspective on visual attention. [John K Tsotsos]
A computational perspective on visual attention (eBook ~ Get this from a library! A computational perspective on visual attention. [John K Tsotsos] -- The author 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 .
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A Computational Perspective on Visual Attention The MIT ~ [A Computational Perspective on Visual Attention (The MIT Press)] [By: Tsotsos, John K.] [June, 2011] / / ISBN: / Kostenloser Versand für alle Bücher mit Versand und Verkauf duch .
A computational perspective on visual attention ~ View Download: MARC: View . View Download: RIS: View Download: Add to List. Details Title A computational perspective on visual attention / John K. Tsotsos. Author Tsotsos, John K. Uniform Title MIT CogNet. ISBN 0262015412 9780262295420 (digital) 9780262015417 (print) 9780262015417. Published Cambridge, Mass. : MIT Press, [2012 ] .
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Computational Visual Attention / SpringerLink ~ Visual attention is one of the key mechanisms of perception that enables humans to efficiently select the visual data of most potential interest. Machines face similar challenges as humans: they have to deal with a large amount of input data and have to select the most promising parts.
John Tsotsos - Wikipedia ~ John Tsotsos is a Canadian Computer Scientist whose research spans the fields of Computer Vision, Human Vision, Robotics, and Artificial Intelligence.He is best known for his work in visual attention, specifically for establishing the need for visual attention in both biological and computational systems through an argument based on the computational complexity of visual information processing .