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Attention and performance in computational vision : second international workshop, WAPCV 2004 : Prague, Czech Republic, May 15, 2004 : revised selected papers / Lucas Paletta [and others] (eds.).

By: (2nd : International Workshop on Attention and Performance in Computational Vision (2nd : 2004 : České vysoké učení technické v Praze)Contributor(s): Paletta, LucasMaterial type: TextTextPublisher number: 11378754Series: Serienbezeichnung | Lecture notes in computer science ; 3368.Publication details: Berlin ; New York : Springer, ©2005. Description: 1 online resource (viii, 230 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540305729; 3540305726; 3540244212; 9783540244219; 9786611402297; 6611402292Other title: WAPCV 2004Subject(s): Computer vision -- Congresses | Neurosciences -- Congresses | Neurosciences | Neurosciences | Vision par ordinateur -- Congrès | Neurosciences -- Congrès | Neurosciences | COMPUTERS -- Computer Vision & Pattern Recognition | Informatique | Computer vision | Neurosciences | Attention | Neurosciences | Perception visuelle | Vision artificielleGenre/Form: Congress | Electronic books. | Conference papers and proceedings. | Conference papers and proceedings. | Actes de congrès. Additional physical formats: Print version:: Attention and performance in computational vision.DDC classification: 006.3/7 LOC classification: TA1634 | .I7 2004Other classification: 54.74 | SS 4800 | 004 | DAT 760f | PHY 826f | PSY 205f Online resources: Click here to access online
Contents:
Attention in Object and Scene Recognition -- Distributed Control of Attention -- Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity -- Attentive Object Detection Using an Information Theoretic Saliency Measure -- Architectures for Sequential Attention -- A Model of Object-Based Attention That Guides Active Visual Search to Behaviourally Relevant Locations -- Learning of Position-Invariant Object Representation Across Attention Shifts -- Combining Conspicuity Maps for hROIs Prediction -- Human Gaze Control in Real World Search -- Biologically Plausible Models for Attention -- The Computational Neuroscience of Visual Cognition: Attention, Memory and Reward -- Modeling Attention: From Computational Neuroscience to Computer Vision -- Towards a Biologically Plausible Active Visual Search Model -- Modeling Grouping Through Interactions Between Top-Down and Bottom-Up Processes: The Grouping and Selective Attention for Identification Model (G-SAIM) -- TarzaNN : A General Purpose Neural Network Simulator for Visual Attention Modeling -- Applications of Attentive Vision -- Visual Attention for Object Recognition in Spatial 3D Data -- A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition -- Biologically Motivated Visual Selective Attention for Face Localization -- Accumulative Computation Method for Motion Features Extraction in Active Selective Visual Attention -- Fast Detection of Frequent Change in Focus of Human Attention.
Summary: Inrecentresearchoncomputervisionsystems, attentionhasbeenplayingacrucialrolein mediatingbottom-upandtop-downpathsofinformationprocessing. Inappliedresearch, the development of enabling technologies such as miniaturized mobile sensors, video surveillance systems, and ambient intelligence systems involves the real-time analysis of enormous quantities of data. Knowledge has to be applied about what needs to be attendedto, andwhen, andwhattodoinameaningfulsequence, incorrespondencewith visual feedback. Methods on attention and control are mandatory to render computer vision systems more robust. The 2nd International Workshop on Attention and Performance in Computational Vision (WAPCV 2004) was held in the Czech Technical University of Prague, Czech Republic, as an associated workshop of the 8th European Conference on Computer - sion (ECCV 2004). The goal of this workshop was to provide an interdisciplinary forum tocommunicatecomputationalmodelsofvisualattentionfromvariousviewpoints, such as from computer vision, psychology, robotics and neuroscience. The motivation for - terdisciplinarity was communication and inspiration beyond the individual community, to focus discussion on computational modelling, to outline relevant objectives for p- formance comparison, to explore promising application domains, and to discuss these with reference to all related aspects of cognitive vision. The workshop was held as a single-day, single-track event, consisting of high-quality podium and poster presen- tions. Invited talks were given by John K. Tsotsos about attention and feature binding in biologically motivated computer vision and by Gustavo Deco about the context of attention, memory and reward from the perspective of computational neuroscience. The interdisciplinary program committee was composed of 21 internationally r- ognized researchers.
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Includes bibliographical references and index.

Print version record.

Attention in Object and Scene Recognition -- Distributed Control of Attention -- Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity -- Attentive Object Detection Using an Information Theoretic Saliency Measure -- Architectures for Sequential Attention -- A Model of Object-Based Attention That Guides Active Visual Search to Behaviourally Relevant Locations -- Learning of Position-Invariant Object Representation Across Attention Shifts -- Combining Conspicuity Maps for hROIs Prediction -- Human Gaze Control in Real World Search -- Biologically Plausible Models for Attention -- The Computational Neuroscience of Visual Cognition: Attention, Memory and Reward -- Modeling Attention: From Computational Neuroscience to Computer Vision -- Towards a Biologically Plausible Active Visual Search Model -- Modeling Grouping Through Interactions Between Top-Down and Bottom-Up Processes: The Grouping and Selective Attention for Identification Model (G-SAIM) -- TarzaNN : A General Purpose Neural Network Simulator for Visual Attention Modeling -- Applications of Attentive Vision -- Visual Attention for Object Recognition in Spatial 3D Data -- A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition -- Biologically Motivated Visual Selective Attention for Face Localization -- Accumulative Computation Method for Motion Features Extraction in Active Selective Visual Attention -- Fast Detection of Frequent Change in Focus of Human Attention.

Inrecentresearchoncomputervisionsystems, attentionhasbeenplayingacrucialrolein mediatingbottom-upandtop-downpathsofinformationprocessing. Inappliedresearch, the development of enabling technologies such as miniaturized mobile sensors, video surveillance systems, and ambient intelligence systems involves the real-time analysis of enormous quantities of data. Knowledge has to be applied about what needs to be attendedto, andwhen, andwhattodoinameaningfulsequence, incorrespondencewith visual feedback. Methods on attention and control are mandatory to render computer vision systems more robust. The 2nd International Workshop on Attention and Performance in Computational Vision (WAPCV 2004) was held in the Czech Technical University of Prague, Czech Republic, as an associated workshop of the 8th European Conference on Computer - sion (ECCV 2004). The goal of this workshop was to provide an interdisciplinary forum tocommunicatecomputationalmodelsofvisualattentionfromvariousviewpoints, such as from computer vision, psychology, robotics and neuroscience. The motivation for - terdisciplinarity was communication and inspiration beyond the individual community, to focus discussion on computational modelling, to outline relevant objectives for p- formance comparison, to explore promising application domains, and to discuss these with reference to all related aspects of cognitive vision. The workshop was held as a single-day, single-track event, consisting of high-quality podium and poster presen- tions. Invited talks were given by John K. Tsotsos about attention and feature binding in biologically motivated computer vision and by Gustavo Deco about the context of attention, memory and reward from the perspective of computational neuroscience. The interdisciplinary program committee was composed of 21 internationally r- ognized researchers.

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