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Florian Frieß

Herr M. Sc.

Florian Frieß

Wiss. Mitarbeiter
Visualisierungsinstitut der Universität Stuttgart (VISUS)
Arbeitsgruppe Ertl

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+49 (711) 685-88633
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Allmandring 19
70569 Stuttgart
Deutschland
Raum: 00.110

Sprechstunde

Publikationen

2021
1. Schatz, Karsten ; Frieß, Florian ; Schäfer, Marco ; Buchholz, Patrick C. F. ; Pleiss, Jürgen ; Ertl, Thomas ; Krone, Michael: Analyzing the similarity of protein domains by clustering Molecular Surface Maps. In: Computers & Graphics, Computers & Graphics. Bd. 99 (2021), S. 114–127
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  BibTeX
  @article{schatz2021analyzing, abstract = {Many biochemical and biomedical applications such as protein engineering or drug design are concerned with finding functionally similar proteins, however, this remains to be a challenging task. We present a new image-based approach for identifying and visually comparing proteins with similar function that builds on the hierarchical clustering of Molecular Surface Maps. Such maps are two-dimensional representations of complex molecular surfaces and can be used to visualize the topology and different physico-chemical properties of proteins. Our method is based on the idea that visually similar maps also imply a similarity in the function of the mapped proteins. To determine map similarity, we compute descriptive feature vectors using image moments, color moments, or a Convolutional Neural Network and use them for a hierarchical clustering of the maps. We demonstrate the feasibility of our approach using two data sets: an ensemble of hand-selected proteins with known similarities used for verification and an ensemble of ketolase enzymes, where we analyzed the individual domains using our method. Our method is integrated in an interactive visualization application, which allows users to explore and analyze the results. It visualizes the hierarchical clustering and offers linked views that provide details for a comparative data analysis.}, author = {Schatz, Karsten and Frieß, Florian and Schäfer, Marco and Buchholz, Patrick C. F. and Pleiss, Jürgen and Ertl, Thomas and Krone, Michael}, doi = {10.1016/j.cag.2021.06.007}, journal = {Computers & Graphics}, pages = {114-127}, title = {Analyzing the similarity of protein domains by clustering Molecular Surface Maps}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0097849321001229}, volume = 99, year = 2021 }
  Link
  https://www.sciencedirect.com/science/article/abs/pii/S0097849321001229
2020
1. Schatz, Karsten ; Frieß, Florian ; Schäfer, Marco ; Ertl, Thomas ; Krone, Michael: Analyzing Protein Similarity by Clustering Molecular Surface Maps. In: Eurographics Workshop on Visual Computing for Biology and Medicine, Eurographics Workshop on Visual Computing for Biology and Medicine, 2020, S. 103–114
  - BibTeX
  BibTeX
  @inproceedings{schatz2020analyzing, author = {Schatz, Karsten and Frieß, Florian and Schäfer, Marco and Ertl, Thomas and Krone, Michael}, booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine}, doi = {10.2312/vcbm.20201177}, pages = {103-114}, title = {Analyzing Protein Similarity by Clustering Molecular Surface Maps}, year = 2020 }
2. Frieß, Florian ; Müller, Christoph ; Ertl, Thomas: Real-Time High-Resolution Visualisation. In: Krüger, J. ; Niessner, M. ; Stückler, J. (Hrsg.) ; Krüger, J. ; Niessner, M. ; Stückler, J. (Hrsg.): Proceedings of the Eurographics Symposium on Vision, Modeling, and Visualization (VMV), Proceedings of the Eurographics Symposium on Vision, Modeling, and Visualization (VMV) : The Eurographics Association, 2020 — ISBN 978-3-03868-123-6, S. 127–135
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  @inproceedings{v.20201195, abstract = {While visualisation often strives for abstraction, the interactive exploration of large scientific data sets like densely sampled 3Dfields or massive particle data sets still benefits from rendering their graphical representation in large detail on high-resolutiondisplays such as Powerwalls or tiled display walls driven by multiple GPUs or even GPU clusters. Such visualisation systemsare typically rather unique in their setup of hardware and software which makes transferring a visualisation application fromone high-resolution system to another one a complicated task. As more and more such visualisation systems get installed,collaboration becomes desirable in the sense of sharing such a visualisation running on one site in real time with another high-resolution display on a remote site while at the same time communicating via video and audio. Since typical video conferencesolutions or web-based collaboration tools often cannot deal with resolutions exceeding 4K, with stereo displays or with multi-GPU setups, we designed and implemented a new system based on state-of-the-art hardware and software technologies totransmit high-resolution visualisations including video and audio streams via the internet to remote large displays and back.Our system architecture is built on efficient capturing, encoding and transmission of pixel streams and thus supports a multitudeof configurations combining audio and video streams in a generic approac}, author = {Frieß, Florian and Müller, Christoph and Ertl, Thomas}, booktitle = {Proceedings of the Eurographics Symposium on Vision, Modeling, and Visualization (VMV)}, doi = {10.2312/vmv.20201195}, editor = {Krüger, Jens and Niessner, Matthias and Stückler, Jörg}, isbn = {978-3-03868-123-6}, pages = {127-135}, publisher = {The Eurographics Association}, title = {Real-Time High-Resolution Visualisation}, url = {https://doi.org/10.2312/vmv.20201195 }, year = 2020 }
  Link
  https://doi.org/10.2312/vmv.20201195
3. Frieß, F. ; Braun, M. ; Bruder, V. ; Frey, S. ; Reina, G. ; Ertl, T.: Foveated Encoding for Large High-Resolution Displays. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. (2020), S. 1–10
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  @article{9224182, abstract = {Collaborative exploration of scientific data sets across large high-resolution displays requires both high visual detail as wellas low-latency transfer of image data (oftentimes inducing the need to trade one for the other). In this work, we present a system thatdynamically adapts the encoding quality in such systems in a way that reduces the required bandwidth without impacting the detailsperceived by one or more observers. Humans perceive sharp, colourful details, in the small foveal region around the centre of the fieldof view, while information in the periphery is perceived blurred and colourless. We account for this by tracking the gaze of observers,and respectively adapting the quality parameter of each macroblock used by the H.264 encoder, considering the so-called visual acuityfall-off. This allows to substantially reduce the required bandwidth with barely noticeable changes in visual quality, which is crucial forcollaborative analysis across display walls at different locations. We demonstrate the reduced overall required bandwidth and the highquality inside the foveated regions using particle rendering and parallel coordinate}, author = {Frieß, F. and Braun, M. and Bruder, V. and Frey, S. and Reina, G. and Ertl, T.}, doi = {10.1109/TVCG.2020.3030445}, journal = {IEEE Transactions on Visualization and Computer Graphics}, pages = {1-10}, title = {Foveated Encoding for Large High-Resolution Displays}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9224182}, year = 2020 }
  Link
  https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9224182
2019
1. Gralka, Patrick ; Becher, Michael ; Braun, Matthias ; Frieß, Florian ; Müller, Christoph ; Rau, Tobias ; Schatz, Karsten ; Schulz, Christoph ; u. a.: MegaMol -- a comprehensive prototyping framework for visualizations. In: The European Physical Journal (Special Topics), The European Physical Journal (Special Topics). Bd. 227: Particle Methods in Natural Science and Engineering (2019), Nr. 14, S. 1817--1829
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  BibTeX
  @article{Gralka2019Megamol, abstract = {We present MegaMol, a low-overhead prototyping framework for interactive visualization of large scientific data sets. We give a brief summary of related work for context and then focus on a comprehensive overview of the core architecture of the framework. This is followed by the existing and novel features and techniques in MegaMol that define its current functionality. MegaMol has originally been developed to support the visualization and analysis of particle-based data sets that, for instance, come from molecular dynamics simulations. Meanwhile, the software has evolved beyond that. New algorithms and techniques have been implemented to handle many diverse tasks, including information visualization. Additionally, improvements have been made on the software engineering side to make MegaMol more accessible for domain scientists, like an easy-to-handle scripting interface.}, author = {Gralka, Patrick and Becher, Michael and Braun, Matthias and Frieß, Florian and Müller, Christoph and Rau, Tobias and Schatz, Karsten and Schulz, Christoph and Krone, Michael and Reina, Guido and Ertl, Thomas}, doi = {10.1140/epjst/e2019-800167-5}, issn = {1951-6401}, journal = {The European Physical Journal (Special Topics)}, number = 14, pages = {1817--1829}, title = {MegaMol -- a comprehensive prototyping framework for visualizations}, url = {https://doi.org/10.1140/epjst/e2019-800167-5}, volume = {227: Particle Methods in Natural Science and Engineering}, year = 2019 }
  Link
  https://doi.org/10.1140/epjst/e2019-800167-5
2018
1. Frieß, Florian ; Landwehr, Mathias ; Bruder, Valentin ; Frey, Steffen ; Ertl, Thomas: Adaptive Encoder Settings for Interactive Remote Visualisation on High-Resolution Displays. In: Proceedings of the IEEE Symposium on Large Data Analysis and Visualization - Short Papers (LDAV), Proceedings of the IEEE Symposium on Large Data Analysis and Visualization - Short Papers (LDAV) : IEEE, 2018 — ISBN 978-1-5386-6873-3, S. 87–91
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  BibTeX
  @inproceedings{conf/ldav/FriessLBFE18, abstract = {We present an approach that dynamically adapts encoder settings for image tiles to yield the best possible quality for a given bandwidth. This reduces the overall size of the image while preserving details. Our application determines the encoding settings in two steps. In the first step, we predict the quality and size of the tiles for different encoding settings using a convolutional neural network. In the second step, we assign the optimal encoder setting to each tile, so that the overall size of the image is lower than a predetermined threshold. Commonly, for tiles that contain complicated structures, a high quality setting is used in order to prevent major information loss, while quality settings are lowered for others to keep the size below the threshold. We demonstrate that we can reduce the overall size of the image while preserving the details in areas of interest using the example of both particle and volume visualisation applications.}, author = {Frieß, Florian and Landwehr, Mathias and Bruder, Valentin and Frey, Steffen and Ertl, Thomas}, booktitle = {Proceedings of the IEEE Symposium on Large Data Analysis and Visualization - Short Papers (LDAV)}, doi = {10.1109/LDAV.2018.8739215}, ee = {https://doi.org/10.1109/LDAV.2018.8739215}, isbn = {978-1-5386-6873-3}, pages = {87-91}, publisher = {IEEE}, title = {Adaptive Encoder Settings for Interactive Remote Visualisation on High-Resolution Displays}, url = {https://ieeexplore.ieee.org/document/8739215}, year = 2018 }
  Link
  https://ieeexplore.ieee.org/document/8739215
2017
1. Krone, Michael ; Frieß, Florian ; Scharnowski, Katrin ; Reina, Guido ; Fademrecht, Silvia ; Kulschewski, Tobias ; Pleiss, Jürgen ; Ertl, Thomas: Molecular Surface Maps. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
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  @article{kronemolsurfmaps2016, author = {Krone, Michael and Frieß, Florian and Scharnowski, Katrin and Reina, Guido and Fademrecht, Silvia and Kulschewski, Tobias and Pleiss, Jürgen and Ertl, Thomas}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 1, title = {Molecular Surface Maps}, url = {http://dx.doi.org/10.1109/TVCG.2016.2598824}, volume = 23, year = 2017 }
  Link
  http://dx.doi.org/10.1109/TVCG.2016.2598824
2015
1. Rau, Benjamin ; Frieß, Florian ; Krone, Michael ; Müller, Christoph ; Ertl, Thomas: Enhancing Visualization of Molecular Simulations using Sonification. In: International Workshop on Virtual and Augmented Reality for Molecular Science (VARMS@IEEEVR), International Workshop on Virtual and Augmented Reality for Molecular Science (VARMS@IEEEVR). Bd. 1 : IEEE, 2015
  - BibTeX
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  BibTeX
  @inproceedings{2f8e04b71b4e4e14bb58529308dc368e, author = {Rau, Benjamin and Frieß, Florian and Krone, Michael and Müller, Christoph and Ertl, Thomas}, booktitle = {International Workshop on Virtual and Augmented Reality for Molecular Science (VARMS@IEEEVR)}, publisher = {IEEE}, title = {Enhancing Visualization of Molecular Simulations using Sonification}, url = {http://dx.doi.org/10.1109/VARMS.2015.7151725}, volume = 1, year = 2015 }
  Link
  http://dx.doi.org/10.1109/VARMS.2015.7151725

Lehre

Abschlussarbeiten und Fachstudien

Laufend

Eyetracking-Based Foveated Encoding for Large High-Resolution Displays (Bachelor)

Abgeschlossen

Adaptive encoding for interactive remote volume visualization on high-resolution displays (Master)
Vergleichende Visualisierung von Moleküloberflächen durch ähnlichkeitsbasiertes Clustering (Bachelor)
Untersuchung von Farbräumen für die effiziente Speicherung von HDR-Farben (Fachstudie)
PresentAR (Bachelor Forschungsprojekt)
Collaborative text and code editing on high-resolution displays (Bachelor)
Interactive CPU based ray tracing for remote high-resolution displays (Bachelor)

Lehrveranstaltungen

Practical Course Visual Computing (SS16)
Practical Course Visual Computing (WS16/17)
Practical Course Visual Computing (SS17)
Hauptseminar "Multifield Visualization" (WS17/18)
Seminar "Computer Graphik in Spielen" (SS18)
Computergraphik (WS18/19)
Practical Course Visual Computing (SS19)
Hauptseminar "Advanced Rendering" (WS19/20)
Seminar "Computer Animation" (SS21)

Florian Frieß

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2021

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2020

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2019

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2018

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Florian Frieß

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Publikationen

2021

BibTeX

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2020

BibTeX

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2019

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2018

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2017

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2015

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