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Gesturemap: Supporting visual analytics and quantitative analysis of motion elicitation data by learning 2d embeddings 21

Gesturemap: Supporting visual analytics and quantitative ana...

引用

2021 CHI conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021

作者： Dang, Hai Buschek, Daniel Research Group Hci + Ai Department of Computer Science University of Bayreuth Bayreuth Germany

ISBN: (纸本)9781450380966

This paper presents GestureMap, a visual analytics tool for gesture elicitation which directly visualises the space of gestures. Concretely, a Variational Autoencoder embeds gestures recorded as 3D skeletons on an interactive 2D map. GestureMap further integrates three computational capabilities to connect exploration to quantitative measures: Leveraging DTW Barycenter Averaging (DBA), we compute average gestures to 1) represent gesture groups at a glance;2) compute a new consensus measure (variance around average gesture);and 3) cluster gestures with *** evaluate GestureMap and its concepts with eight experts and an in-depth analysis of published data. Our findings show how GestureMap facilitates exploring large datasets and helps researchers to gain a visual understanding of elicited gesture spaces. It further opens new directions, such as comparing elicitations across *** discuss implications for elicitation studies and research, and opportunities to extend our approach to additional tasks in gesture elicitation. © 2021 ACM.

关键词： Large dataset

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A Virtual 3D City Model for Urban Planning and Decision-Making - The East Jerusalem Case 22nd

A Virtual 3D City Model for Urban Planning and Decision-Maki...

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22nd International conference on Computational Science and its Applications (ICCSA)

作者： Fricke, Andreas Doellner, Juergen Asche, Hartmut Univ Potsdam Digital Engn Fac Hasso Plattner Inst Prof Dr Helmert Str 2-3 D-14482 Potsdam Germany

ISBN: (纸本)9783031104503;9783031104497

This contribution presents an approach for generating and modelling spatially referenced, multi-dimensional urban models from remote sensing data for regions where no reliable reference data are available. The focus is on a modular service-oriented process chain covering the entire process from data acquisition to effective web-based visualization, addressing raw data, preprocessing, management, spatial analyses, visualisation and applications. The use case, investigated in the framework of a EU-funded multidisciplinary R+D project, is the cityspace of East Jerusalem (about 190 about 190 sqkm). Due to the controversial geopolitical situation, usable and high-resolution reference data of the complex, granular urban fabric is unavailable. Hence very high-resolution stereo aerial images (571 pcs. 'a 10 cm GSD) were acquired and photogram-metrically processed to build a high-resolution 3D reference point cloud. Corresponding semantic data from various sources and household surveys (3,500 pcs.) specially conducted were integrated into the data and managed within a unified, fully-referenced 3D database (opensource). The resulting virtual urban 3D model includes functionalities for geospatial exploration and analysis, allowing spatio-temporal applications, such as land use/management, social/technical infrastructure, or tourism for documentation, information, education as well as decision-making. It addresses both the local civil society and, through specific functions, urban planners and decision makers. analysis and interaction functionalities are provided in a user-oriented and application-related framework, taking into account effective visualisation (cartographic and visual gestalt principles). The independent spatial reference of a multiscale grid is used for spatial analyses and visualisation purposes. The generic construction of the dedicated virtual cityspace allows for the transferability of results.

关键词： Service-oriented workflow Lack of reference data Virtual multi-dimensional model

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Multimodal Misinformation Mitigation using Convolutional and Knowledge Transfer Learning Approach

Multimodal Misinformation Mitigation using Convolutional and...

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Sentiment analysis and Deep Learning (ICSADL), International conference on

作者： Nachiket Rathod Prabhakar Ramteke Deaprtment of Computer Science & Engineering H.V.P.M 'S College of Engineering & Technology Amravati Amravati Mahrashtra India

ISBN: (数字)9798350396157

ISBN: (纸本)9798350396164

In the era of information proliferation and digital media, the battle against the spread of misinformation has evolved into a critical challenge. This work presents an inclusive exploration of the pinnacle in misinformation mitigation, employing a multimodal method that integrates textual and visual data. Advanced techniques in knowledge transfer learning are used to develop and evaluate models for Misinformation detection based on textual content, images, and their fusion. DistilFND, a distillation of diverse models specialized in different modalities, is a focal point of proposed research. The paper involves a systematic analysis of training and testing these models on a shared dataset, enabling a comparison of their performance and the provision of insightful evaluations. Cohen's Kappa scores and ROC-AUC scores are also computed to gauge the models' efficacy. This extensive study marks a significant advance in misinformation mitigation, with knowledge transfer learning and multimodal fusion serving as pivotal elements of progress. By means of a sequence of detailed experiments and evaluation metrics, this work enhances to an improved understanding of how knowledge transfer learning, multimodal fusion, and pinnacle models can boost the correctness of Misinformation detection. The results and insights in this work aid the ongoing efforts to combat the detrimental impacts of misinformation in the digital sphere.

关键词： Training visualization Sentiment analysis Systematics Prevention and mitigation Computational modeling Network architecture

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visual analysis of player interactions in soccer games

Visual analysis of player interactions in soccer games

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2021 Workshops of the EDBT/ICDT Joint conference, EDBT/ICDT-WS 2021

作者： Ivkovic-Kihic, Ivona Seebacher, Daniel Stein, Manuel Schreck, Tobias Preiner, Reinhold Graz University of Technology Austria University of Sarajevo Bosnia and Herzegovina University of Konstanz Germany Subsequent GmbH Konstanz Germany

Recently, visualization of sport data in general, and soccer data in particular, has received much research attention. visual sport data exploration helps to understand behavior and performance of athletes and teams, identify possible influence factors, and changes over time, among other important tasks. In soccer match data, much of the play is determined by direct interactions between players spatially close to each other, competing for influence. We introduce a novel visual analytics system for exploring pairwise player interactions using a trajectory-based data representation in a highly interactive multiple view approach. Our notion of player interaction is based on proximity of pairs of players, and respective motion patterns represented as trajectories. Our approach segments player interactions from soccer match data, as the basis for linked analytical views. A matrix view allows to explore interaction frequencies between players, group of player roles, and assess overall game dominance between teams. An appropriately defined interaction glyph allows to compare interactions based on player motion, ball possession, and pitch position. We further investigate the design of a descriptor encoding the geometric configuration of interaction trajectory pairs, enabling common analytical tasks like clustering or searching for similar interactions. We demonstrate the applicability of our approach by use cases on real soccer match data, detailing the analytical tasks supported by our system. © 2021 Copyright for this paper by its author(s).

关键词： Trajectories

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visual Linking of Feature Values in Immersive Graph visualization Environment 21

Visual Linking of Feature Values in Immersive Graph Visualiz...

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14th International Symposium on visual Information Communication and Interaction, VINCI 2021

作者： Sassa, Hinako Cordeil, Maxime Yoshida, Mitsuo Itoh, Takayuki Ochanomizu University Tokyo Japan Monash University Melbourne Australia Toyohashi University of Technology Toyohashi Japan

ISBN: (纸本)9781450386470

There are a variety of graphs where multidimensional feature values are assigned to the nodes. visualization of such datasets is not an easy task since they are complex and often huge. Immersive Analytics is a powerful approach to support the interactive exploration of such large and complex data. Many recent studies on graph visualization have applied immersive analytics frameworks;however, there have been few studies on immersive analytics for visualization of multidimensional attributes associated with the input graphs. This paper presents a new immersive analytics system that supports the interactive exploration of multidimensional feature values assigned to the nodes of input graphs. The presented system displays "label-axes"corresponding to the dimensions of feature values, and "label-edges"that connect label-axes and corresponding to the nodes. The system supports visual linking operations which controls the display of edges that connect a label-axis and nodes of the graph. This paper introduces visualization examples with a graph dataset of Twitter users and reviews by experts on graph data analysis. © 2021 ACM.

关键词： Virtual reality

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Virtual Sample Generation Of Hyperspectral Mineral data

Virtual Sample Generation Of Hyperspectral Mineral Data

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Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), International conference on

作者： Palla Parasuram Yadav Amba Shetty B. S. Raghavendra A. V. Narasimhadhan National Institute of Technology Karnataka Surathkal India

Identification of earth surface features or useful resources even at inaccessible locations for humans made possible with the help of spatial-spectral information provided by remote sensing data especially hyperspectral images. At present deep learning (DL) based models have become a best choice to address the issues and provide better solutions in many fields including remote sensing data analysis. Due to very subtle differences exhibited by mineral signatures and also lack of sufficient training samples, geo-science and remote sensing research community has not much explored the DL techniques in analyzing mineral data. Therefore, in this paper, a virtual sample generation technique using vector rotation is proposed to increase the mineral data for training DL models. The proposed virtual sample generation technique is explored on a spectral library of 5 minerals that is formed from Cuprite scene, a benchmark mineral data set. The quality of the mineral samples generated are assessed using visual inspection as well as a relative spectral discriminating power of target minerals with respect to non-target or remaining minerals. Results show that mineral samples generated by the proposed virtual sample generation technique are not only qualitative in nature but also helpful or encouraging in exploration of DL in mineral data analysis.

关键词： Training Earth visualization data analysis Inspection data models Libraries

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DRIFT: A visual analytic tool for scientific literature exploration based on textual and image content 34

DRIFT: A visual analytic tool for scientific literature expl...

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34th SIBGRAPI conference on Graphics, Patterns and Images (SIBGRAPI)

作者： Pocco, Ximena Poco, Jorge Viana, Matheus de Paula, Rogerio Nonato, Luis G. Gomez-Nieto, Erick Univ Catolica San Pablo Dept Comp Sci Arequipa Peru Getulio Vargas Fdn Sch Appl Math Rio De Janeiro Brazil IBM Res Sao Paulo Brazil Univ Sao Paulo ICMC Sao Carlos Brazil

ISBN: (纸本)9781665423540

Exploring digital libraries of scientific articles is an essential task for any research community. The typical approach is to query the articles' data based on keywords and manually inspect the resulting list of documents to identify which papers are of interest. Besides being time-consuming, such a manual inspection is quite limited, as it can hardly provide an overview of articles with similar topics or subjects. Moreover, accomplishing queries based on content other than keywords is rarely doable, impairing finding documents with similar images. In this paper, we propose a visual analytic methodology for exploring and analyzing scientific document collections that consider the content of scientific documents, including images. The proposed approach relies on a combination of Content-Based Image Retrieval (CBIR) and multidimensional projection to map the documents to a visual space based on their similarity, thus enabling an interactive exploration. Additionally, we enable visual resources to display complementary information on selected documents that uncover hidden patterns and semantic relations. We show the effectiveness of our methodology through two case studies and a user evaluation, which attest to the usefulness of the proposed framework in exploring scientific document collections.

关键词： visual analytics Semantics Image retrieval Manuals Inspection Libraries Task analysis

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Enabling Comparative analysis of Election data in Ecuador 21

Enabling Comparative Analysis of Election Data in Ecuador

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14th International Symposium on visual Information Communication and Interaction, VINCI 2021

作者： Méndez, Gonzalo Gabriel Moreno, Oscar Escuela Superior Politécnica Del Litoral Guayaquil Ecuador

ISBN: (纸本)9781450386470

We present an interactive visualization tool that enables exploration and comparative analyses of election data in multi-partisan systems. We motivate and explain our design in the context of the Ecuadorian political landscape. We demonstrate the tool with data from Ecuador's three most recent presidential elections. Our tool enables both relative and absolute comparisons of the election results. © 2021 Owner/Author.

关键词： data visualization

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EuroVis 2021 - 23rd Eurographics conference on visualization 2021

EuroVis 2021 - 23rd Eurographics Conference on Visualization...

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23rd Eurographics conference on visualization, EuroVis 2021

The proceedings contain 44 papers. The topics discussed include: VEHICLE: validation and exploration of the hierarchical integration of conflict event data;topography of violence: considerations for ethical and collaborative visualization design;color nameability predicts inference accuracy in spatial visualizations;what are table cartograms good for anyway? an algebraic analysis;exploring multi-dimensional data via subset embedding;guided stable dynamic projections;texture browser: feature-based texture exploration;local extraction of 3D time-dependent vector field topology;compressive neural representations of volumetric scalar fields;thin-volume visualization on curved domains;public data visualization: analyzing local running statistics on situated displays;accessible visualization: design space, opportunities, and challenges;learning contextualized user preferences for co-adaptive guidance in mixed-initiative topic model refinement;a visual designer of layer-wise relevance propagation models;and leveraging topological events in tracking graphs for understanding particle diffusion.

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visual analysis of Biomechanical of lower limbs in 2001-2020 based on VOSviewer

Visual analysis of Biomechanical of lower limbs in 2001-2020...

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2021 International conference on Health Big data and Smart Sports, HBDSS 2021

作者： Wei, Xinyi Chen, Qian Yang, Sijie Huang, Ruhao Sport and Health School Nanjing Sport Institute Nanjing China SuqianZeda Vocational College Suqian China Hunan Normal University Changsha China

ISBN: (纸本)9781665421881

Taking WOS (web of Science) as the retrieval platform, the retrieval time is from 2001 to 2021. 2180 English core journals on lower limbs biomechanics in recent 20 years are visually included by using "vosviewer1.6.17". By analyzing the existing research literature, the number of papers, research countries and key words related to lower limb biomechanics are sorted and summarized hope to understand the current research situation and judge the future research trend, so as to provide reference for further *** is a commonly used visual analysis software, but there are few related analyses on lower limb biomechanics. It is found that in the past two decades, the exploration in related fields has been deepening, among which the United States, Britain and Australia are the active countries with more research in this field, and coordination, speed, model are the most popular words, which reflect the current research trend. © 2021 IEEE.

关键词： Biomechanics

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