Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

Arbeitsbereich Computergraphik
Clemens Arbesser
Large-Scale Noise Simulation and Visualization of Moving Point Sources
Studium: Masterstudium Medieninformatik
BetreuerIn: Ao.Univ.Prof. Dr. Eduard Gröller
Noise pollution is an ever increasing problem not just in urban environments
but also in more rural areas such as small villages, along country roads or even
in very sparsely populated regions. The demands of the industry and local
governments often clash with the interests of people in the neighborhood,
creating areas of conflict that often end up in court. Though in many countries
noise assessments are mandatory in order to obtain building permission, these
documents are usually not suited or sometimes conceivably not even intended
to convey the impact of projects on their environment to the general public.
The purpose of this master's thesis is to propose ways to simulate and visualize
noise pollution in large-scale, non-urban environments in order to help communicate
the impact of new sound emitters on affected neighbors. Knowledge
of noise propagation, the influence of the terrain and other obstacles as well
as how different emitters add up can provide valuable insights and help in the
decision-making process. This knowledge may be particularly helpful when
trying to decide on suitable locations for noise screens and/or when trying to
find good places to offset some of the local noise emitters. The tool developed
uses NVIDIA's CUDA architecture and the European norm "ISO 9613-2:
Attenuation of sound during propagation outdoors" to create real-time visualizations
in both 2D and 3D. Results are compared against ground truth data
obtained by taking noise measurements in the field.
Heinrich Fink
GPU-based Video Processing in the Context of TV Broadcasting
Studium: Masterstudium Visual Computing
BetreuerIn: Associate Prof. Dr. Michael Wimmer
This thesis investigates GPU-based video processing in the context of a
graphics system for live TV broadcasting. Upcoming TV standards like UHD-1
result in much higher data rates than existing formats. To reach these data
rates, the transfer of image data between main and graphics memory need to
be overlapped with CPU-based and GPU-based processing. In this thesis, we
therefore investigate the following questions: Which methods are available to
a software implementation in order to reach this level of parallelism? Which
data rates can actually be reached using these methods? We implement a
prototype of a software for rendering TV graphics. To take advantage of the
GPUs ability to efficiently process image data, we use the OpenGL application
programming interface (API). We implement the transcoding between RGB and
the professional video format V210, which is more complex to process than
conventional consumer-oriented image formats. In our software, we apply the
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