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Attention and performance in computational vision : second international workshop, WAPCV 2004 : Prague, Czech Republic, May 15, 2004 : revised selected papers

Author: Lucas Paletta
Publisher: Berlin ; New York : Springer, ©2005.
Series: Lecture notes in computer science, 3368.
Edition/Format:   eBook : Conference publication : EnglishView all editions and formats
Summary:

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  Read more...

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Genre/Form: Kongress
Conference papers and proceedings
Congresses
Congrès
Additional Physical Format: International Workshop on Attention and Performance in Computational Vision
Attention and performance in computational vision
2004 :
(2nd :
(OCoLC)57337074
Material Type: Conference publication, Internet resource
Document Type: Internet Resource
All Authors / Contributors: Lucas Paletta
ISBN: 3540244212 9783540244219 9783540305729 3540305726
OCLC Number: 57734377
Notes: "The 2nd International Workshop on Attention and Performance in Computational Vision (WAPCV 2004) was held in the Czech Technical University of Prague"--Preface.
Description: viii, 230 pages : illustrations ; 24 cm.
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.
Series Title: Lecture notes in computer science, 3368.
Other Titles: WAPCV 2004
Responsibility: Lucas Paletta [and others] (eds.).
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