Query based visual analysis: spatio-temporal reasoning in computer vision
Image and Vision Computing
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Principles and techniques for sensor data fusion
Signal Processing - Intelligent systems for signal and image understanding
Control of selective perception using Bayes nets and decision theory
Control of selective perception using Bayes nets and decision theory
The anatomy of a context-aware application
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Information retrieval and artificial intelligence
Artificial Intelligence - Special issue on applications of artificial intelligence
Perceptual user interfaces: things that see
Communications of the ACM
A Bayesian Computer Vision System for Modeling Human Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Visual Activities and Interactions by Stochastic Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Bayesian Networks
Introduction to Bayesian Networks
International Journal of Computer Vision
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Adapting Object Recognition across Domains: A Demonstration
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
Towards Robust Multi-cue Integration for Visual Tracking
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
Integrating Vision and Language: Towards Automatic Description of Human Movements
KI '95 Proceedings of the 19th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Perceptual Components for Context Aware Computing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Ontological Que y Language for Content Based Image Retrieval
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Action Recognition Using Probabilistic Parsing
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Cooperative Scheme for Image Understanding Using Multiple Sources of Information
A Cooperative Scheme for Image Understanding Using Multiple Sources of Information
Towards reliable multimodal sensing in aware environments
Proceedings of the 2001 workshop on Perceptive user interfaces
Approximate world models: incorporating qualitative and linguistic information into vision systems
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Cognitive vision: The case for embodied perception
Image and Vision Computing
The Composite Sensing of Affect
Affect and Emotion in Human-Computer Interaction
Investigating fuzzy DLs-based reasoning in semantic image analysis
Multimedia Tools and Applications
Domain knowledge ontology building for semantic video event description
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
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
| Hi-index | 0.01 |
This paper presents an extensible architectural model for general content-based analysis and indexing of video data which can be customised for a given problem domain. Video interpretation is approached as a joint inference problems which can be solved through the use of modern machine learning and probabilistic inference techniques. An important aspect of the work concerns the use of a novel active knowledge representation methodology based on an ontological query language. This representation allows one to pose the problem of video analysis in terms of queries expressed in a visual language incorporating prior hierarchical knowledge of the syntactic and semantic structure of entities, relationships, and events of interest occurring in a video sequence. Perceptual inference then takes place within an ontological domain defined by the structure of the problem and the current goal set.