Identifying high level features of texture perception
CVGIP: Graphical Models and Image Processing
The nature of mathematical modeling
The nature of mathematical modeling
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth Estimation from Image Structure
IEEE Transactions on Pattern Analysis and Machine Intelligence
Indoor-Outdoor Image Classification
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
International Journal of Computer Vision
Review: Which is the best way to organize/classify images by content?
Image and Vision Computing
Image annotation: which approach for realistic databases?
Proceedings of the 6th ACM international conference on Image and video retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Some Objects Are More Equal Than Others: Measuring and Predicting Importance
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Semantic analysis and retrieval in personal and social photo collections
Multimedia Tools and Applications
Scene image clustering based on boosting and GMM
Proceedings of the Second Symposium on Information and Communication Technology
Automated image annotation using global features and robust nonparametric density estimation
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Automatic context analysis for image classification and retrieval
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Journal of Cognitive Neuroscience
Human-inspired features for natural scene classification
Pattern Recognition Letters
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In this paper, we propose a scene-centered representation able to provide a meaningful description of real world images at multiple levels of categorization (from superordinate to subordinate levels). The scene-centered representation is based upon the estimation of spatial envelope properties describing the shape of a scene (e.g. size, perspective, mean depth) and the nature of its content. The approach is holistic and free of segmentation phase, grouping mechanisms, 3D construction and object-centered analysis.