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  Categorization of natural scenes: local vs. global information

Vogel, J., Schwaninger, A., Wallraven, C., & Bülthoff, H. (2006). Categorization of natural scenes: local vs. global information. In R. Fleming, & S. Kim (Eds.), APGV '06: 3rd Symposium on Applied Perception in Graphics and Visualization (pp. 33-40). New York, NY, USA: ACM Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D0EB-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-4C46-9
Genre: Conference Paper

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 Creators:
Vogel, J1, 2, Author              
Schwaninger, A1, 2, Author              
Wallraven, C1, 2, Author              
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Understanding the robustness and rapidness of human scene categorization has been a focus of investigation in the cognitive sciences over the last decades. At the same time, progress in the area of image understanding has prompted computer vision researchers to design computational systems that are capable of automatic scene categorization. Despite these efforts, a framework describing the processes underlying human scene categorization that would enable efficient computer vision systems is still missing. In this study, we present both psychophysical and computational experiments that aim to make a further step in this direction by investigating the processing of local and global information in scene categorization. In a set of human experiments, categorization performance is tested when only local or only global image information is present. Our results suggest that humans rely on local, region-based information as much as on global, configural information. In addition, humans seem to integrate both types of information for intact scene categorization. In a set of computational experiments, human performance is compared to two state-of-the-art computer vision approaches that model either local or global information.

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 Dates: 2006-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/1140491.1140498
BibTex Citekey: 3995
 Degree: -

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Title: 3rd Symposium on Applied Perception in Graphics and Visualization (APGV 2006)
Place of Event: Boston, MA, USA
Start-/End Date: 2006-07-28 - 2006-07-29

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Title: APGV '06: 3rd Symposium on Applied Perception in Graphics and Visualization
Source Genre: Proceedings
 Creator(s):
Fleming, RW1, Editor            
Kim, S, Editor
Affiliations:
1 Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797            
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 33 - 40 Identifier: ISBN: 1-59593-429-4