A survey on temporal reasoning in artificial intelligence
AI Communications
Reasoning with Individuals for the Description Logic SHIQ
CADE-17 Proceedings of the 17th International Conference on Automated Deduction
Towards Computer Vision with Description Logics: Some Recent Progress
SPELMG '99 Proceedings of the Integration of Speech and Image Understanding
From Video to Language-A Detour via Logic vs. Jumping to Conclusions
SPELMG '99 Proceedings of the Integration of Speech and Image Understanding
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
Protocols from perceptual observations
Artificial Intelligence - Special volume on connecting language to the world
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
Image and Vision Computing
On scene interpretation with description logics
Image and Vision Computing
Representation of occurrences for road vehicle traffic
Artificial Intelligence
Towards a Semi-automatic Situation Diagnosis System in Surveillance Tasks
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
High-Level Expectations for Low-Level Image Processing
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Knowledge and Event-Based System for Video-Surveillance Tasks
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Protocols from perceptual observations
Artificial Intelligence - Special volume on connecting language to the world
Generation of Rules from Ontologies for High-Level Scene Interpretation
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Logical formalization of multimedia interpretation
Knowledge-driven multimedia information extraction and ontology evolution
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
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This paper explores high-level scene interpretation with logic-based conceptual models. The main interest is in aggregates which describe interesting co-occurrences of physical objects and their respective views in a scene. Interpretations consist of instantiations of aggregate concepts supported by evidence from a scene. It is shown that flexible interpretation strategies are possible which are important for cognitive vision, e.g. mixed bottom-up and top-down interpretation, exploitation of context, recognition of intentions, task-driven focussing. The knowledge representation language is designed to easily map into a Description Logics (DL), however, current DL systems do not (yet) offer services which match high-level vision interpretation requirements. A table-laying scene is used as a guiding example. The work is part of the EU-project CogVis.