Inhalt

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   Situated Perception
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   Perspectives on computer vision
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   Situation models
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   Storage and retrieval structures
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   Situation models as a dynamical representation
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   Context in Human vision
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   Results from eye-tracking experiments
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   The object-detection paradigm
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   Neurophysiological results
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   Summary and conclusion
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   Perception of Scenes
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   Why context?
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   Aspects of contextual modeling
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   Contextual modeling for scene understanding
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   Contextual modeling for system control
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   Recognizing global scene contexts
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   Holistic scene classification
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   Scenes as a configuration of parts
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   Using context in object recognition
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   Combining holistic context and object detection
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   Detecting semantic object-scene inconsistencies
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   Understanding objects in 3D scenes
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   Integrating visual and verbal object descriptions
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   Summary and conclusion
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  Perception of Scene Dynamics
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   What is an action?
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   Using context in action recognition
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   Action as a symbolic sequence of state-changes
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   Event logic
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   Constraint networks
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   Action as a stochastic process
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   Probabilistic motion models
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   Using context in motion models
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   Scene evolution
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   Summary and conclusion
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   Cross-situational Learning
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   Parallel datasets
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   Statistical translation models
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   Parameter estimation
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   Applying translation models to captionized images
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   Co-occurrence statistics
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   Mixture models and clustering methods
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   Likelihood ratio testing
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  Mutual information methods
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   Learning an audio-visual lexicon
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   Learning non-compositional compounds
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   Summary and conclusion
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  System Control Strategies
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   Aspects of system control
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   Control theory
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   Rational agents
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   Coordination of multiple control processes
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   User interaction and situation awareness
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   Production systems
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   Coding context in rules
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   Problem spaces
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   Frame-based systems
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   Schema theory
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   Semantic networks
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   Utility-based approaches
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   Utility-based classification
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   Markov Decision Processes
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   Summary and conclusion
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  System Integration
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   Requirements for integrated systems
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   Behavior modules
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   Situation controller
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   Service-oriented architectures
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   Data-driven process coordination
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   Blackboards
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   Active memories
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   The Active Memory infrastructure
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   Coordinating memory processes in larger systems
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   Summary and conclusion
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   Summary and Outlook
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  Mathematical details
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   Learning translation models
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   Mutual information measures