Artificial Intelligence
Design problem solving: a task analysis
AI Magazine
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
Control and explanation in a signal understanding environment
Signal Processing - Intelligent systems for signal and image understanding
Introduction to knowledge systems
Introduction to knowledge systems
The configuration design ontologies and the VT elevator domain theory
International Journal of Human-Computer Studies - Special issue: the Sisyphus-VT initiative
Knowledge-based image understanding systems: a survey
Computer Vision and Image Understanding
Automatic segmentation of lung fields on chest radiographic images
Computers and Biomedical Research
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
Common KADS Library for Expertise Modelling
Common KADS Library for Expertise Modelling
Composition of Image Analysis Processes Through Object-Centered Hierarchical Planning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge Representation and Control in Computer Vision Systems
IEEE Expert: Intelligent Systems and Their Applications
CommonKADS: A Comprehensive Methodology for KBS Development
IEEE Expert: Intelligent Systems and Their Applications
Configuration-Design Problem Solving
IEEE Expert: Intelligent Systems and Their Applications
Rule-Based Interpretation of Aerial Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Three-Dimensional Interpretations of Two-Dimensional Images
IEEE Transactions on Pattern Analysis and Machine 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
ARDIS: Knowledge-Based Dynamic Architecture for Real-Time Surface Visual Inspection
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
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This paper formally analyzes the image understanding (IU) task at the knowledge level and in the observer domain. The analysis is done at three levels: task, method and domain knowledge, distinguishing the generic components in most of the IU tasks, thereby enabling the components to be reused. We model the IU problem as a design task and define a generic problem solving method (PSM) that allows us to tackle the task in a hierarchical and recursive way. The main advantage of this generic PSM is the possibility of instantiating specific PSMs through parameter space configuration, which enables the structure to be reused both across the task decomposition at different hierarchical levels and across different application domains. This work has been done following the well-established foundations of knowledge engineering that prescribe the maintenance of the conceptual structure from the modeling stage at the knowledge level down to the implementation. Finally, we apply the proposed framework to the problem of identifying the papilla in eye fundus images in order to exemplify the successive stages in the modeling process and system design, and accordingly justify the framework's validity.