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100   $a20100916d2011      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 12$aA computational perspective on visual attention$b[electronic resource] /$fJohn K. Tsotsos
210   $aCambridge, Mass. $cMIT Press$dc2011
215   $a1 online resource (333 p.)
300   $aDescription based upon print version of record.
311   $a0-262-01541-2 
320   $aIncludes bibliographical references and indexes.
327   $aCover ; 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
330 8 $aThe 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 appendixes.
606   $aVision
606   $aVisual perception$xMathematical models
606   $aComputer vision$xMathematical models
606   $aAttention$xMathematical models
608   $aElectronic books.
615  0$aVision.
615  0$aVisual perception$xMathematical models.
615  0$aComputer vision$xMathematical models.
615  0$aAttention$xMathematical models.
676   $a612.8/4
700   $aTsotsos$b John K$0903579
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910456722903321
996   $aA computational perspective on visual attention$92019876
997   $aUNINA