Machine vision
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Role of Featural and Configural Information in Familiar and Unfamiliar Face Recognition
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Indoor-Outdoor Image Classification
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
A Bayesian Hierarchical Model for Learning Natural Scene Categories
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A psychophysically plausible model for typicality ranking of natural scenes
ACM Transactions on Applied Perception (TAP)
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
International Journal of Computer Vision
Image classification for content-based indexing
IEEE Transactions on Image Processing
Psychophysics for perception of (in)determinate art
Proceedings of the 4th symposium on Applied perception in graphics and visualization
Integration of local and global geometrical cues for 3D face recognition
Pattern Recognition
A Comparison of Multiclass SVM Methods for Real World Natural Scenes
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Adaptively Combining Local with Global Information for Natural Scenes Categorization
IEICE - Transactions on Information and Systems
Extracting Structured Topological Features from 3D Facial Surface: Approach and Applications
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Scene Retrieval of Natural Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Structured-image retrieval invariant to rotation, scaling and translation
WSEAS TRANSACTIONS on SYSTEMS
Learning natural scene categories by selective multi-scale feature extraction
Image and Vision Computing
Building global image features for scene recognition
Pattern Recognition
In the eye of the beholder - perception of indeterminate art
Computational Aesthetics'07 Proceedings of the Third Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Self organizing natural scene image retrieval
Expert Systems with Applications: An International Journal
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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.