An automatic hierarchical image classification scheme
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
A new approach for image classification and retrieval (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Learnable visual keywords for image classification
Proceedings of the fourth ACM conference on Digital libraries
Learning primitive and scene semantics of images for classification and retrieval
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Automatic Detection of Human Nudes
International Journal of Computer Vision - 1998 Marr Prize
A Trainable System for Object Detection
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Learning image similarities and categories from content analysis and relevance feedback
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Regions-of-Interest and Spatial Layout for Content-Based Image Retrieval
Multimedia Tools and Applications
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
Contextual Priming for Object Detection
International Journal of Computer Vision
Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Finding Objects by Grouping Primitives
Shape, Contour and Grouping in Computer Vision
Categorizing Visual Contents by Matching Visual ``Keywords''
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Blobworld: A System for Region-Based Image Indexing and Retrieval
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Textual Descriptors for Browsing People by Visual Appearance
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Differential Feature Distribution Maps for Image Segmentation and Region Queries in Image Databases
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Defining Image Content with Multiple Regions-of-Interest
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
A data mining approach to modeling relationships among categories in image collection
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Using dual cascading learning frameworks for image indexing
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Home photo indexing using learned visual keywords
VIP '02 Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
International Journal of Computer Vision
Segmentation and region of interest based image retrieval in low depth of field observations
Image and Vision Computing
Automatic hierarchical color image classification
EURASIP Journal on Applied Signal Processing
Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Adaptive image retrieval based on the spatial organization of colors
Computer Vision and Image Understanding
Using visual context and region semantics for high-level concept detection
IEEE Transactions on Multimedia - Special issue on integration of context and content
Statistical modeling and conceptualization of natural images
Pattern Recognition
A Bayesian network-based framework for semantic image understanding
Pattern Recognition
Beyond pixels: Exploiting camera metadata for photo classification
Pattern Recognition
Combining intra-image and inter-class semantics for consumer image retrieval
Pattern Recognition
Hierarchical learning of dominant constellations for object class recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Context based object categorization: A critical survey
Computer Vision and Image Understanding
Bayesian fusion of camera metadata cues in semantic scene classification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Probabilistic spatial context models for scene content understanding
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Scene parsing using a prior world model
International Journal of Robotics Research
Global semantic classification of scenes using power spectrum templates
IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
Understanding how visual context influences multimedia content analysis problems
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
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Scene classification is a major open challenge in machine vision. Most solutions proposed so far such as those based on color histograms and local texture statistics cannot capture a scene's global configuration, which is critical in perceptual judgments of scene similarity. We present a novel approach, "configural recognition", for encoding scene class structure. The approach's main feature is its use of qualitative spatial and photometric relationships within and across regions in low resolution images. The emphasis on qualitative measures leads to enhanced generalization abilities and the use of low-resolution images renders the scheme computationally efficient. We present results on a large database of natural scenes. We also describe how qualitative scene concepts may be learned from examples.