PUMA publications for /user/leonkokkoliadis/A04https://puma.ub.uni-stuttgart.de/user/leonkokkoliadis/A04PUMA RSS feed for /user/leonkokkoliadis/A042024-03-29T03:39:39+01:00v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributionshttps://puma.ub.uni-stuttgart.de/bibtex/2814ebdb76a05ccd445f8be303f1ad3c5/leonkokkoliadisleonkokkoliadis2020-06-03T12:39:30+02:002020 A04 sfbtrr161 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael Blumenschein" itemprop="url" href="/person/1045afd75693cc707d743b0c8a40b285c/author/0"><span itemprop="name">M. Blumenschein</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Luka J. Debbeler" itemprop="url" href="/person/1045afd75693cc707d743b0c8a40b285c/author/1"><span itemprop="name">L. Debbeler</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nadine C. Lages" itemprop="url" href="/person/1045afd75693cc707d743b0c8a40b285c/author/2"><span itemprop="name">N. Lages</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Britta Renner" itemprop="url" href="/person/1045afd75693cc707d743b0c8a40b285c/author/3"><span itemprop="name">B. Renner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel A. Keim" itemprop="url" href="/person/1045afd75693cc707d743b0c8a40b285c/author/4"><span itemprop="name">D. Keim</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mennatallah El-Assady" itemprop="url" href="/person/1045afd75693cc707d743b0c8a40b285c/author/5"><span itemprop="name">M. El-Assady</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Computer Graphics Forum</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">39 </span></span>(<span itemprop="issueNumber">3</span>):
<span itemprop="pagination">565-577</span></em> </span>(<em><span>2020<meta content="2020" itemprop="datePublished"/></span></em>)</span>Wed Jun 03 12:39:30 CEST 2020Computer Graphics Forum3565-577v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions3920202020 A04 sfbtrr161 Comparing data distributions is a core focus in descriptive statistics, and part of most data analysis processes across disciplines. In particular, comparing distributions entails numerous tasks, ranging from identifying global distribution properties, comparing aggregated statistics (e.g., mean values), to the local inspection of single cases. While various specialized visualizations have been proposed (e.g., box plots, histograms, or violin plots), they are not usually designed to support more than a few tasks, unless they are combined. In this paper, we present the v-plot designer; a technique for authoring custom hybrid charts, combining mirrored bar charts, difference encodings, and violin-style plots. v-plots are customizable and enable the simultaneous comparison of data distributions on global, local, and aggregation levels. Our system design is grounded in an expert survey that compares and evaluates 20 common visualization techniques to derive guidelines for the task-driven selection of appropriate visualizations. This knowledge externalization step allowed us to develop a guiding wizard that can tailor v-plots to individual tasks and particular distribution properties. Finally, we confirm the usefulness of our system design and the user-guiding process by measuring the fitness for purpose and applicability in a second study with four domain and statistic experts.Understanding Human Perception of Building Categories in Virtual 3d Cities - a User Studyhttps://puma.ub.uni-stuttgart.de/bibtex/29a9d7c467833241d7cce1499f496b4c4/leonkokkoliadisleonkokkoliadis2020-02-26T15:16:01+01:002016 A04 sfbtrr161 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Patrick Tutzauer" itemprop="url" href="/person/195e9ad107eebb70cf04a62a5a32993db/author/0"><span itemprop="name">P. Tutzauer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Susanne Becker" itemprop="url" href="/person/195e9ad107eebb70cf04a62a5a32993db/author/1"><span itemprop="name">S. Becker</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Till Niese" itemprop="url" href="/person/195e9ad107eebb70cf04a62a5a32993db/author/2"><span itemprop="name">T. Niese</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Oliver Deussen" itemprop="url" href="/person/195e9ad107eebb70cf04a62a5a32993db/author/3"><span itemprop="name">O. Deussen</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dieter Fritsch" itemprop="url" href="/person/195e9ad107eebb70cf04a62a5a32993db/author/4"><span itemprop="name">D. Fritsch</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS)</span>, </em> </span>(<em><span>2016<meta content="2016" itemprop="datePublished"/></span></em>)</span>Wed Feb 26 15:16:01 CET 2020The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS)683-687Understanding Human Perception of Building Categories in Virtual 3d Cities - a User StudyXLI-B220162016 A04 sfbtrr161 Virtual 3D cities are becoming increasingly important as a means of visually communicating diverse urban-related information. To get a deeper understanding of a human’s cognitive experience of virtual 3D cities, this paper presents a user study on the human ability to perceive building categories (e.g. residential home, office building, building with shops etc.) from geometric 3D building representations. The study reveals various dependencies between geometric properties of the 3D representations and the perceptibility of the building categories. Knowledge about which geometries are relevant, helpful or obstructive for perceiving a specific building category is derived. The importance and usability of such knowledge is demonstrated based on a perception-guided 3D building abstraction process.Quantifying Visual Abstraction Quality for Stipple Drawingshttps://puma.ub.uni-stuttgart.de/bibtex/2de59d062803e23ff21a5602eb5ddab8d/leonkokkoliadisleonkokkoliadis2020-02-26T15:02:39+01:002017 A04 sfbtrr161 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Marc Spicker" itemprop="url" href="/person/1a80ca8495d83aaf8f1e34898c12ad54c/author/0"><span itemprop="name">M. Spicker</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franz Hahn" itemprop="url" href="/person/1a80ca8495d83aaf8f1e34898c12ad54c/author/1"><span itemprop="name">F. Hahn</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Lindemeier" itemprop="url" href="/person/1a80ca8495d83aaf8f1e34898c12ad54c/author/2"><span itemprop="name">T. Lindemeier</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dietmar Saupe" itemprop="url" href="/person/1a80ca8495d83aaf8f1e34898c12ad54c/author/3"><span itemprop="name">D. Saupe</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Oliver Deussen" itemprop="url" href="/person/1a80ca8495d83aaf8f1e34898c12ad54c/author/4"><span itemprop="name">O. Deussen</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the Symposium on Non-Photorealistic Animation and Rendering (NPAR)</span>, </em></span><em> July 2017, </em><em>page <span itemprop="pagination">1-10</span>. </em><em><span itemprop="publisher">Association for Computing Machinery</span>, </em>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>Wed Feb 26 15:02:39 CET 2020Proceedings of the Symposium on Non-Photorealistic Animation and Rendering (NPAR)1-10Quantifying Visual Abstraction Quality for Stipple DrawingsJuly 201720172017 A04 sfbtrr161 We investigate how the perceived abstraction quality of stipple illustrations is related to the number of points used to create them. Since it is difficult to find objective functions that quantify the visual quality of such illustrations, we gather comparative data by a crowdsourcing user study and employ a paired comparison model to deduce absolute quality values. Based on this study we show that it is possible to predict the perceived quality of stippled representations based on the properties of an input image. Our results are related to Weber-Fechner's law from psychophysics and indicate a logarithmic relation between numbers of points and perceived abstraction quality. We give guidance for the number of stipple points that is typically enough to represent an input image well.Depth-aware Coherent Line Drawingshttps://puma.ub.uni-stuttgart.de/bibtex/2aa61ab8673d65e3026bb402d0eccf880/leonkokkoliadisleonkokkoliadis2020-02-26T14:55:28+01:002015 A04 sfbtrr161 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Marc Spicker" itemprop="url" href="/person/19bf07054be18edeadb3b65bbf381b356/author/0"><span itemprop="name">M. Spicker</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Julian Kratt" itemprop="url" href="/person/19bf07054be18edeadb3b65bbf381b356/author/1"><span itemprop="name">J. Kratt</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Diana Arellano" itemprop="url" href="/person/19bf07054be18edeadb3b65bbf381b356/author/2"><span itemprop="name">D. Arellano</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Oliver Deussen" itemprop="url" href="/person/19bf07054be18edeadb3b65bbf381b356/author/3"><span itemprop="name">O. Deussen</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the SIGGRAPH Asia Symposium on Computer Graphics and Interactive Techniques, Technical Briefs</span>, </em></span><em> November 2015, </em><em>page <span itemprop="pagination">1-5</span>. </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>Wed Feb 26 14:55:28 CET 2020Proceedings of the SIGGRAPH Asia Symposium on Computer Graphics and Interactive Techniques, Technical Briefs1-5Depth-aware Coherent Line DrawingsNovember 201520152015 A04 sfbtrr161 Neural Networks for the Classification of
Building Use from Street-view Imageryhttps://puma.ub.uni-stuttgart.de/bibtex/2b92624725f97ff9c41b92a4f53b0614a/leonkokkoliadisleonkokkoliadis2020-02-26T14:47:50+01:002018 A04 sfbtrr161 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="D. Laupheimer" itemprop="url" href="/person/153cfe6838984fd5b1de475db67bab833/author/0"><span itemprop="name">D. Laupheimer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="P. Tutzauer" itemprop="url" href="/person/153cfe6838984fd5b1de475db67bab833/author/1"><span itemprop="name">P. Tutzauer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="N. Haala" itemprop="url" href="/person/153cfe6838984fd5b1de475db67bab833/author/2"><span itemprop="name">N. Haala</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. Spicker" itemprop="url" href="/person/153cfe6838984fd5b1de475db67bab833/author/3"><span itemprop="name">M. Spicker</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences</span>, </em> </span>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)</span>Wed Feb 26 14:47:50 CET 2020ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences 177-184Neural Networks for the Classification of
Building Use from Street-view Imagery
IV-220182018 A04 sfbtrr161 Within this paper we propose an end-to-end approach for classifying terrestrial images of building facades into five different utility classes (commercial, hybrid, residential, specialUse, underConstruction) by using Convolutional Neural Networks (CNNs). For our examples we use images provided by Google Street View. These images are automatically linked to a coarse city model, including the outlines of the buildings as well as their respective use classes. By these means an extensive dataset is available for training and evaluation of our Deep Learning pipeline. The paper describes the implemented end-to-end approach for classifying street-level images of building facades and discusses our experiments with various CNNs. In addition to the classification results, so-called Class Activation Maps (CAMs) are evaluated. These maps give further insights into decisive facade parts that are learned as features during the training process. Furthermore, they can be used for the generation of abstract presentations which facilitate the comprehension of semantic image content. The abstract representations are a result of the stippling method, an importance-based image rendering.Structure-aware Stylization of Mountainous Terrainshttps://puma.ub.uni-stuttgart.de/bibtex/29fe919c091df312a337f09d1712c6297/leonkokkoliadisleonkokkoliadis2020-02-26T14:40:42+01:002017 A04 sfbtrr161 visus:weiskopf <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Julian Kratt" itemprop="url" href="/person/1efa5cf40578705354c4b4b2f17dac023/author/0"><span itemprop="name">J. Kratt</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ferdinand Eisenkeil" itemprop="url" href="/person/1efa5cf40578705354c4b4b2f17dac023/author/1"><span itemprop="name">F. Eisenkeil</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Marc Spicker" itemprop="url" href="/person/1efa5cf40578705354c4b4b2f17dac023/author/2"><span itemprop="name">M. Spicker</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yunhai Wang" itemprop="url" href="/person/1efa5cf40578705354c4b4b2f17dac023/author/3"><span itemprop="name">Y. Wang</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Weiskopf" itemprop="url" href="/person/1efa5cf40578705354c4b4b2f17dac023/author/4"><span itemprop="name">D. Weiskopf</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Oliver Deussen" itemprop="url" href="/person/1efa5cf40578705354c4b4b2f17dac023/author/5"><span itemprop="name">O. Deussen</span></a></span></span>. </span><span class="additional-entrytype-information"><em><span itemprop="publisher">The Eurographics Association</span>, </em><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"></span>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>Wed Feb 26 14:40:42 CET 2020Vision, Modeling & VisualizationStructure-aware Stylization of Mountainous Terrains20172017 A04 sfbtrr161 visus:weiskopf