This paper introduces a knowledge representation formalism used for annotation of the French MEDIA dialogue corpus in terms of high level semantic structures. The semantic annotation, worked out according to the Berkeley FrameNet paradigm, is incremental and partially automated. We describe an automatic interpretation process for composing semantic structures from basic semantic constituents us...

This paper proposes an automatic interpretation system that integrates freestyle sentence translation and parallel text based translation. Free-style sentence translation accepts natural language sentences and translates them by machine translation. Parallel text based translation provides a proper translation for a sentence in the parallel text by referring to a corresponding translation of th...

The automatic segmentation and labelling of anatomical structures in 3D medical images is a challenging task of practical importance. We describe a model-based approach which allows robust and accurate interpretation using explicit anatomical knowledge. Our method is based on the extension to 3D of Point Distribution Models (PDMs) and associated image search algorithms. A combination of global,...

BACKGROUND Telehealth care is a global trend affecting clinical practice around the world. To mitigate the workload of health professionals and provide ubiquitous health care, a comprehensive surveillance system with value-added services based on information technologies must be established. OBJECTIVE We conducted this study to describe our proposed telesurveillance system designed for monito...

Automatic feature extraction domain has witnessed the application of many intelligent methodologies over past decade; however detection accuracy of these approaches were limited as object geometry and contextual knowledge were not given enough consideration. In this paper, we propose a frame work for accurate detection of features along with automatic interpolation, and interpretation by modeli...

The use of GPS and Inertial Navigation Systems in combination with topographic sensors are discussed. Topographic data are acquired using scanning laser range finders and high-resolution digital cameras. The use of reflectance data from the laser scanner is also mentioned. Characteristics of laser range data is described and a strategy for automatic interpretation is derived from that character...

Recent advances in multi-detector CT (MDCT) are turning it into one of the leading technologies for detection of coronary artery disease. We propose here an automatic coronary stenosis detection mechanism that uses computerized tomography coronary angiography (CTCA) images extracted from the MDCT data. The artery is first isolated using image morphology and its boundaries then estimated using d...

The complexity of modern systems (in both, the software and hardware domain) raises the need for abstract descriptions in early stages of the design flow. Such abstract descriptions are provided in modeling languages such as the UML and are often additionally enriched by declarative languages like OCL. This allows for a profound but comprehensive description of the structure and the behavior of...

Well log data are routinely used for stratigraphic interpretation of the earth’s subsurface. This paper presents an automatic blocking scheme that transforms numerical well log data into a fuzzy symbolic representation. This representation maintains the character of the original log curves, which is essential for the stratigraphic interpretation, while making the interpretation task easier. Add...

Automatic interpretation of remote sensing data gathers more and more importance for surveillance tasks, reconnaissance and automatic generation and quality control of geographic maps. Methods and applications exist for structural analysis of image data as well as specialized segmentation algorithms for certain object classes. At the Institute of Communication Theory and Signal Processing focus...