LEADER 05349nam 22007935 450 001 996465944003316 005 20200629202931.0 010 $a3-642-00582-9 024 7 $a10.1007/978-3-642-00582-4 035 $a(CKB)1000000000714650 035 $a(SSID)ssj0000316386 035 $a(PQKBManifestationID)11225815 035 $a(PQKBTitleCode)TC0000316386 035 $a(PQKBWorkID)10263682 035 $a(PQKB)10449063 035 $a(DE-He213)978-3-642-00582-4 035 $a(MiAaPQ)EBC3063975 035 $a(PPN)132875004 035 $a(EXLCZ)991000000000714650 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAttention in Cognitive Systems$b[electronic resource] $eInternational Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008, Revised Selected Papers /$fedited by Lucas Paletta, John K. Tsotsos 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (X, 273 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v5395 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-00581-0 320 $aIncludes bibliographical references and index. 327 $aAttention in Scene Exploration -- On the Optimality of Spatial Attention for Object Detection -- Decoding What People See from Where They Look: Predicting Visual Stimuli from Scanpaths -- A Novel Hierarchical Framework for Object-Based Visual Attention -- Where Do We Grasp Objects? ? An Experimental Verification of the Selective Attention for Action Model (SAAM) -- Contextual Cueing and Saliency -- Integrating Visual Context and Object Detection within a Probabilistic Framework -- The Time Course of Attentional Guidance in Contextual Cueing -- Conspicuity and Congruity in Change Detection -- Spatiotemporal Saliency -- Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency -- Motion Saliency Maps from Spatiotemporal Filtering -- Attentional Networks -- Model Based Analysis of fMRI-Data: Applying the sSoTS Framework to the Neural Basic of Preview Search -- Modelling the Efficiencies and Interactions of Attentional Networks -- The JAMF Attention Modelling Framework -- Attentional Modeling -- Modeling Attention and Perceptual Grouping to Salient Objects -- Attention Mechanisms in the CHREST Cognitive Architecture -- Modeling the Interactions of Bottom-Up and Top-Down Guidance in Visual Attention -- Relative Influence of Bottom-Up and Top-Down Attention -- Towards Standardization of Evaluation Metrics and Methods for Visual Attention Models -- Comparing Learning Attention Control in Perceptual and Decision Space -- Automated Visual Attention Manipulation. 330 $aThis volume constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Attention in Cognitive Systems, WAPCV 2008, held in Fira, Santorini, Greece in May 2008 as an associated event of the 6th International Conference on Computer Vision Systems (ICVS 2008). The 13 revised full papers presented together with with 9 posters, have been carefully selected from 34 submissions. The papers are organized in topical sections on attention in scene exploration, contextueal cueing and saliency, spatiotemporal saliency, attentional networks as well as attentional modelling. 410 0$aLecture Notes in Artificial Intelligence ;$v5395 606 $aNeurosciences 606 $aComputer graphics 606 $aPattern recognition 606 $aArtificial intelligence 606 $aOptical data processing 606 $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aNeurosciences. 615 0$aComputer graphics. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 14$aNeurosciences. 615 24$aComputer Graphics. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006.3/7 686 $aDAT 760f$2stub 686 $aPHY 826f$2stub 686 $aPSY 205f$2stub 686 $aSS 4800$2rvk 702 $aPaletta$b Lucas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTsotsos$b John K$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465944003316 996 $aAttention in Cognitive Systems$9774134 997 $aUNISA