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In many applications, like indexing of broadcast news or surveillance applications, the input data consists of a continuous, unseg-mented audio stream. Speech recognition technology, however, usually requires segments of relatively short length as input. For such applications, effective methods to segment continuous audio streams into homogeneous segments(More)
In laser microstructuring there is a general conflict between precision and efficiency. Short pulsed micro-and nanosecond systems generally allow high ablation rates. Yet, thermal damage of the workpiece cannot be avoided completely. Ultrafast pico-and femtosecond systems allow a higher precision, yet at lower ablation efficiency. This on the one hand can(More)
In this paper we present one method for segmenting the lungs and three methods to segment pulmonary lobes from thoracic CT images and their application to the LOLA11 challenge data. The lung segmenta-tion procedure is fully automated and uses a sequence of morphological operations to refine an initial threshold-based segmentation of the pulmonary airspaces.(More)
The recognition of broadcast news is a challenging problem in speech recognition. To a c hieve the long-term goal of robust, real-time news transcription, several problems have to be overcome, e.g. the variety of acoustic conditions and the unlimited vocabulary. Recently, a n umber of sites have been working on content-addressable multi-media information(More)
Segmentation of the pulmonary lobes is relevant in clinical practice and particularly challenging for cases with severe diseases or incomplete fissures. In this work, an automated segmentation approach is presented that performs a marker-based watershed transformation on computed tomography (CT) scans to subdivide the lungs into lobes. A cost image for the(More)
Many open source projects have long become commercial. This paper shows just how much of open source software development is paid work and how much has remained volunteer work. Using a conservative approach, we find that about 50% of all open source software development has been paid work for many years now and that many small projects are fully paid for by(More)
Image time series of high temporal and spatial resolution capture land surface dynamics of heterogeneous landscapes. We applied the ESTARFM (Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model) algorithm to multi-spectral images covering two semi-arid heterogeneous rangeland study sites located in South Africa. MODIS 250 m resolution and(More)