Towards a general theory of action and time
Artificial Intelligence
Context-Based Vision: Recognizing Objects Using Information from Both 2D and 3D Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
The Representation Space Paradigm of Concurrent Evolving Object Descriptions
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A computational and evolutionary perspective on the role of representation in vision
CVGIP: Image Understanding
Natural language control of animation of task performance in a physical domain
Natural language control of animation of task performance in a physical domain
“It/I”: a theater play featuring an autonomous computer graphics character
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia: Technologies for interactive movies
Gesture Recognition for Visually Mediated Interaction
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
"It/I": a theater play featuring an autonomous computer character
Presence: Teleoperators and Virtual Environments
Human Action Detection Using PNF Propagation of Temporal Constraints
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The mindful camera: common sense for documentary videography
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Media Fabric — A Process-Oriented Approach to Media Creation and Exchange
BT Technology Journal
Conceptual representations between video signals and natural language descriptions
Image and Vision Computing
Distributed vision system: a perceptual information infrastructure for robot navigation
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
A self-referential perceptual inference framework for video interpretation
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
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Approximate world models are coarse descriptions of the elements of a scene, and are intended to be used in the selection and control of vision routines in a vision system. In this paper we present a control architecture in which the approximate models represent the complex relationships among the objects in the world, allowing the vision routines to be situation or context specific. Moreover, because of their reduced accuracy requirements, approximate world models can employ qualitative information such as those provided by linguistic descriptions of the scene. The concept is demonstrated in the development of automatic cameras for a TV studio - SmartCams. Results are shown where SmartCams use vision processing of real imagery and information written in the script of a TV show to achieve TV-quality framing.