On the use of motion concepts for top-down control in traffic scenes
ECCV 90 Proceedings of the first european conference on Computer vision
Expectation-based dynamic scene understanding
Active vision
Natural Language Description of Image Sequences as a Form of Knowledge Representation
KI '99 Proceedings of the 23rd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Contextual Coordination in a Cognitive Vision System for Symbolic Activity Interpretation
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
A Real-Time Scene Understanding System for Airport Apron Monitoring
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Evaluation and Knowledge Representation Formalisms to Improve Video Understanding
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Learning a Knowledge Base of Ontological Concepts for High-Level Scene Interpretation
ICMLA '07 Proceedings of the Sixth International Conference on Machine Learning and Applications
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Navigating through logic-based scene models for high-level scene interpretations
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Trends and issues in description logics frameworks for image interpretation
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Model-based recognition of 2D objects under perspective distortion
Pattern Recognition and Image Analysis
Beyond physical product configuration --Configuration in unusual domains
AI Communications - Intelligent Engineering Techniques for Knowledge Bases
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Scene interpretation systems are often conceived as extensions of low-level image analysis with bottom-up processing for high-level interpretations. In this contribution we show how a generic high-level interpretation system can generate hypotheses and initiate feedback in terms of top-down controlled low-level image analysis. Experimental results are reported about the recognition of structures in building facades.