Expert systems for image processing: knowledge-based composition of image analysis processes
Computer Vision, Graphics, and Image Processing
A knowledge-based approach to integration of image processing procedures
CVGIP: Image Understanding
Automating Image Processing for Scientific Data Analysis of a Large Image Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Borg: A Knowledge-Based System for Automatic Generation of Image Processing Programs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ontological Engineering
Towards ontology-based cognitive vision
Machine Vision and Applications
Ontological inference for image and video analysis
Machine Vision and Applications
Semantic-Based Workflow Composition for Video Processing in the Grid
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Semantic annotation of images and videos for multimedia analysis
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Semantics and Planning Based Workflow Composition for Video Processing
Journal of Grid Computing
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Automating the steps involved in video processing has yet to be tackled with much success by vision developers and knowledge engineers. This is due to the difficulty in formulating vision problems and their solutions in a generalised manner. In this collaborated work, we introduce a modular approach that utilises ontologies to capture the goals, domain description and capabilities for performing video analysis. This modularisation is tested on real-world videos from an ecological source and proves useful in conceptualising and generalising video processing tasks. On a more significant note, this could be used in a framework for automatic video analysis in emerging infrastructures such as the Grid.