John K. Tsotsos
- Published in print:
- 2011
- Published Online:
- August 2013
- ISBN:
- 9780262015417
- eISBN:
- 9780262295420
- Item type:
- book
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262015417.001.0001
- Subject:
- Psychology, Vision
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 ...
More
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 theory, and focus on the manifestations of attention instead of its rationale. This book 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, and uses 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 which can be dynamically tuned to the task and the scene viewed on a moment-by-moment basis. The book offers an overview of attention theories and models, and a 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 website.Less
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 theory, and focus on the manifestations of attention instead of its rationale. This book 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, and uses 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 which can be dynamically tuned to the task and the scene viewed on a moment-by-moment basis. The book offers an overview of attention theories and models, and a 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 website.
John K. Tsotsos
- Published in print:
- 2011
- Published Online:
- August 2013
- ISBN:
- 9780262015417
- eISBN:
- 9780262295420
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262015417.003.0009
- Subject:
- Psychology, Vision
This chapter focuses on the role of the Selective Tuning (ST) model in addressing the computational and complexity issues involved in visual attention. The model plays a key role in determining the ...
More
This chapter focuses on the role of the Selective Tuning (ST) model in addressing the computational and complexity issues involved in visual attention. The model plays a key role in determining the components involved in visual attention and in proposing a unifying approach to attention, recognition, and binding. The chapter finds that attention involves mechanisms which help to optimize and control the search processes involved in perception and cognition. Extension investigations have also revealed that attentional mechanisms enabling access to high spatial resolution data in the visual cortex region of the brain play a significant role in developing ST required for visual attention.Less
This chapter focuses on the role of the Selective Tuning (ST) model in addressing the computational and complexity issues involved in visual attention. The model plays a key role in determining the components involved in visual attention and in proposing a unifying approach to attention, recognition, and binding. The chapter finds that attention involves mechanisms which help to optimize and control the search processes involved in perception and cognition. Extension investigations have also revealed that attentional mechanisms enabling access to high spatial resolution data in the visual cortex region of the brain play a significant role in developing ST required for visual attention.
