A computational perspective on visual attention [[electronic resource] /] / John K. Tsotsos |
Autore | Tsotsos John K |
Pubbl/distr/stampa | Cambridge, Mass., : MIT Press, c2011 |
Descrizione fisica | 1 online resource (333 p.) |
Disciplina | 612.8/4 |
Soggetto topico |
Vision
Visual perception - Mathematical models Computer vision - Mathematical models Attention - Mathematical models |
Soggetto genere / forma | Electronic books. |
ISBN |
0-262-29514-8
1-283-25855-2 9786613258557 0-262-29542-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover ; Contents; Preface; Acknowledgments; 1 Attention - We All Know What It Is; 2 Computational Foundations; 3 Theories and Models of Visual Attention; 4 Selective Tuning: Overview; 5 Selective Tuning: Formulation; 6 Attention, Recognition, and Binding; 7 Selective Tuning: Examples and Performance; 8 Explanations and Predictions; 9 Wrapping Up the Loose Ends; Appendix A: A Few Notes on Some Relevant Aspects of Complexity Theory; Appendix B: Proofs of the Complexity of Visual Match; Appendix C: The Representation of Visual Motion Processes; References; Author Index; Subject Index; Insert |
Record Nr. | UNINA-9910456722903321 |
Tsotsos John K | ||
Cambridge, Mass., : MIT Press, c2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
A computational perspective on visual attention / / John K. Tsotsos |
Autore | Tsotsos John K |
Pubbl/distr/stampa | Cambridge, Mass., : MIT Press, ©2011 |
Descrizione fisica | 1 online resource (333 p.) |
Disciplina | 612.8/4 |
Soggetto topico |
Vision
Visual perception - Mathematical models Computer vision - Mathematical models Attention - Mathematical models |
Soggetto non controllato | NEUROSCIENCE/Visual Neuroscience |
ISBN |
0-262-29514-8
1-283-25855-2 9786613258557 0-262-29542-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover ; Contents; Preface; Acknowledgments; 1 Attention - We All Know What It Is; 2 Computational Foundations; 3 Theories and Models of Visual Attention; 4 Selective Tuning: Overview; 5 Selective Tuning: Formulation; 6 Attention, Recognition, and Binding; 7 Selective Tuning: Examples and Performance; 8 Explanations and Predictions; 9 Wrapping Up the Loose Ends; Appendix A: A Few Notes on Some Relevant Aspects of Complexity Theory; Appendix B: Proofs of the Complexity of Visual Match; Appendix C: The Representation of Visual Motion Processes; References; Author Index; Subject Index; Insert |
Record Nr. | UNINA-9910781784903321 |
Tsotsos John K | ||
Cambridge, Mass., : MIT Press, ©2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
A computational perspective on visual attention / / John K. Tsotsos |
Autore | Tsotsos John K |
Pubbl/distr/stampa | Cambridge, Mass., : MIT Press, ©2011 |
Descrizione fisica | 1 online resource (333 p.) |
Disciplina | 612.8/4 |
Soggetto topico |
Vision
Visual perception - Mathematical models Computer vision - Mathematical models Attention - Mathematical models |
Soggetto non controllato | NEUROSCIENCE/Visual Neuroscience |
ISBN |
0-262-29514-8
1-283-25855-2 9786613258557 0-262-29542-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover ; Contents; Preface; Acknowledgments; 1 Attention - We All Know What It Is; 2 Computational Foundations; 3 Theories and Models of Visual Attention; 4 Selective Tuning: Overview; 5 Selective Tuning: Formulation; 6 Attention, Recognition, and Binding; 7 Selective Tuning: Examples and Performance; 8 Explanations and Predictions; 9 Wrapping Up the Loose Ends; Appendix A: A Few Notes on Some Relevant Aspects of Complexity Theory; Appendix B: Proofs of the Complexity of Visual Match; Appendix C: The Representation of Visual Motion Processes; References; Author Index; Subject Index; Insert |
Record Nr. | UNINA-9910823422003321 |
Tsotsos John K | ||
Cambridge, Mass., : MIT Press, ©2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|