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检索条件"任意字段=2024 IEEE Visualization and Visual Analytics Conference, VIS 2024"

共 182 条记录，以下是91-100 订阅

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Integrating Annotations for Sonifications and Physicalizations

Integrating Annotations for Sonifications and Physicalizatio...

引用

International conference on visualisation, vis

作者： Rhys Sorenson-Graff S. Sandra Bae Jordan Wirfs-Brock Whitman College CU Boulder

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

Annotations are a critical component of visualizations, helping viewers interpret the visual representation and highlighting critical data insights. Despite their significant role, we lack an understanding of how annotations can be incorporated into other data representations, such as physicalizations and sonifications. Given the emergent nature of these representations, sonifications, and physicalizations lack formalized conventions (e.g., design space, vocabulary) that can introduce challenges for audiences to interpret the intended data encoding. To address this challenge, this work focuses on how annotations can be more tightly integrated into the design process of creating sonifications and physicalizations. In an exploratory study with 13 designers, we explore how visualization annotation techniques can be adapted to sonic and physical modalities. Our work highlights how annotations for sonification and physicalizations are inseparable from their data encodings.

关键词： Vocabulary Annotations visual analytics Data visualization Focusing Games Sonification Encoding Probes Surface treatment

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Automated Crack Analysis and Reporting in Civil Infrastructure using Generative AI 50

Automated Crack Analysis and Reporting in Civil Infrastructu...

引用

50th Annual conference of the ieee Industrial Electronics Society, IECON 2024

作者： Kumar, Sanjay K.J. Nandini, K.L. Amritha Dharshan, S.P. Saran Sowmya, V. Bandaragoda, Tharindu Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India Amrita School of Artificial Intelligence Amrita Vishwa Vidyapeetham Coimbatore India Centre for Data Analytics and Cognition La Trobe University Australia

ISBN: (纸本)9781665464543

Maintaining and inspecting infrastructure is crucial due to the safety hazards and economic costs of structural failures. Traditional methods are labor-intensive, time-consuming, and reactive. We propose an automated inspection system leveraging generative AI to enhance efficiency, predictive maintenance capabilities, and comprehensive data analysis. Our framework uses drone-based data acquisition with high-definition cameras and depth sensors, and a custom deep learning model, EyeNet, for precise crack detection. Generative AI techniques, including a visual Question-Answering (VQA) model and an image-to-image model, are employed for detailed crack analysis and future crack pattern visualization, enabling proactive maintenance. The VQA model achieves an average Root Mean Square Error (RMSE) of 0.394 and an average Symmetric Mean Absolute Percentage Error (SMAPE) of 31.22%. A Large Language Model generates comprehensive reports with visualizations, accessible via a dedicated website. Our system significantly improves the inspection process compared to traditional methods, setting a new benchmark by combining generative AI for detailed crack analysis and predictive maintenance capabilities, creating a comprehensive inspection system for civil infrastructure. © 2024 ieee.

关键词： Predictive maintenance

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A Comparative Study of Neural Surface Reconstruction for Scientific visualization

A Comparative Study of Neural Surface Reconstruction for Sci...

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International conference on visualisation, vis

作者： Siyuan Yao Weixi Song Chaoli Wang University of Notre Dame Wuhan University

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

This comparative study evaluates various neural surface reconstruction methods, particularly focusing on their implications for scientific visualization through reconstructing 3D surfaces via multi-view rendering images. We categorize ten methods into neural radiance fields and neural implicit surfaces, uncovering the benefits of leveraging distance functions (i.e., SDFs and UDFs) to enhance the accuracy and smoothness of the reconstructed surfaces. Our findings highlight the efficiency and quality of NeuS2 for reconstructing closed surfaces and identify NeUDF as a promising candidate for reconstructing open surfaces despite some limitations. By sharing our benchmark dataset, we invite researchers to test the performance of their methods, contributing to the advancement of surface reconstruction solutions for scientific visualization.

关键词： Surface reconstruction Three-dimensional displays Accuracy visual analytics Focusing Reconstruction algorithms Benchmark testing Rendering (computer graphics) Neural radiance field Image reconstruction

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FCNR: Fast Compressive Neural Representation of visualization Images

FCNR: Fast Compressive Neural Representation of Visualizatio...

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International conference on visualisation, vis

作者： Yunfei Lu Pengfei Gu Chaoli Wang University of Notre Dame

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

We present FCNR, a fast compressive neural representation for tens of thousands of visualization images under varying viewpoints and timesteps. The existing NeRVI solution, albeit enjoying a high compression ratio, incurs slow speeds in encoding and decoding. Built on the recent advances in stereo image compression, FCNR assimilates stereo context modules and joint context transfer modules to compress image pairs. Our solution significantly improves encoding and decoding speed while maintaining high reconstruction quality and satisfying compression ratio. To demonstrate its effectiveness, we compare FCNR with state-of-the-art neural compression methods, including E-NeRV, HNeRV, NeRVI, and ECSIC. The source code can be found at https://***/YunfeiLu0112/FCNR.

关键词： Image coding visual analytics Source coding Decoding Image reconstruction

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Building and Eroding: Exogenous and Endogenous Factors that Influence Subjective Trust in visualization

Building and Eroding: Exogenous and Endogenous Factors that ...

引用

International conference on visualisation, vis

作者： R. Jordan Crouser Syrine Matoussi Lan Kung Saugat Pandey Oen G. McKinley Alvitta Ottley

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

Trust is a subjective yet fundamental component of human-computer interaction, and is a determining factor in shaping the efficacy of data visualizations. Prior research has identified five dimensions of trust assessment in visualizations (credibility, clarity, reliability, familiarity, and confidence), and observed that these dimensions tend to vary predictably along with certain features of the visualization being evaluated. This raises a further question: how do the design features driving viewers’ trust assessment vary with the characteristics of the viewers themselves? By reanalyzing data from these studies through the lens of individual differences, we build a more detailed map of the relationships between design features, individual characteristics, and trust behaviors. In particular, we model the distinct contributions of endogenous design features (such as visualization type, or the use of color) and exogenous user characteristics (such as visualization literacy), as well as the interactions between them. We then use these findings to make recommendations for individualized and adaptive visualization design.

关键词： Human computer interaction Adaptation models Image color analysis visual analytics Buildings Data visualization Reliability Lenses

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Use-Coordination: Model, Grammar, and Library for Implementation of Coordinated Multiple Views

Use-Coordination: Model, Grammar, and Library for Implementa...

引用

International conference on visualisation, vis

作者： Mark S. Keller Trevor Manz Nils Gehlenborg Harvard Medical School

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

Coordinated multiple views (CMV) in a visual analytics system can help users explore multiple data representations simultaneously with linked interactions. However, the implementation of coordinated multiple views can be challenging. Without standard software libraries, visualization designers need to re-implement CMV during the development of each system. We introduce use-coordination, a grammar and software library that supports the efficient implementation of CMV. The grammar defines a JSON-based representation for an abstract coordination model from the information visualization literature. We contribute an optional extension to the model and grammar that allows for hierarchical coordination. Through three use cases, we show that use-coordinationenables implementation of CMV in systems containing not only basic statistical charts but also more complex visualizations such as medical imaging volumes. We describe six software extensions, including a graphical editor for manipulation of coordination, which showcase the potential to build upon our coordination-focused declarative approach. The software is open-source and available at https://***.

关键词： Software libraries Software packages visual analytics Data visualization Documentation Cognition Grammar Standards Biomedical imaging

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Data Guards: Challenges and Solutions for Fostering Trust in Data

Data Guards: Challenges and Solutions for Fostering Trust in...

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International conference on visualisation, vis

作者： Nicole Sultanum Dennis Bromley Michael Correll Tableau Research Seattle WA USA Northeastern University Portland ME USA

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

From dirty data to intentional deception, there are many threats to the validity of data-driven decisions. Making use of data, especially new or unfamiliar data, therefore requires a degree of trust or verification. How is this trust established? In this paper, we present the results of a series of interviews with both producers and consumers of data artifacts (outputs of data ecosystems like spreadsheets, charts, and dashboards) aimed at understanding strategies and obstacles to building trust in data. We find a recurring need, but lack of existing standards, for data validation and verification, especially among data consumers. We therefore propose a set of data guards: methods and tools for fostering trust in data artifacts.

关键词： visual analytics Ecosystems Buildings Data visualization Interviews Standards

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Fields, Bridges, and Foundations: How Researchers Browse Citation Network visualizations

Fields, Bridges, and Foundations: How Researchers Browse Cit...

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International conference on visualisation, vis

作者： Kiroong Choe Eunhye Kim Sangwon Park Jinwook Seo Seoul National University

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

visualizing citation relations with network structures is widely used, but the visual complexity can make it challenging for individual researchers trying to navigate them. We collected data from 18 researchers with an interface that we designed using network simplification methods and analyzed how users browsed and identified important papers. Our analysis reveals six major patterns used for identifying papers of interest, which can be categorized into three key components: Fields, Bridges, and Foundations, each viewed from two distinct perspectives: layout-oriented and connection-oriented. The connection-oriented approach was found to be more reliable for selecting relevant papers, but the layout-oriented method was adopted more often, even though it led to unexpected results and user frustration. Our findings emphasize the importance of integrating these components and the necessity to balance visual layouts with meaningful connections to enhance the effectiveness of citation networks in academic browsing systems.

关键词： Bridges Navigation visual analytics Layout Data visualization Complexity theory Reliability

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Diffusion Explainer: visual Explanation for Text-to-image Stable Diffusion

Diffusion Explainer: Visual Explanation for Text-to-image St...

引用

International conference on visualisation, vis

作者： Seongmin Lee Benjamin Hoover Hendrik Strobelt Zijie J. Wang ShengYun Peng Austin Wright Kevin Li Haekyu Park Haoyang Yang Duen Horng Polo Chau Georgia Tech IBM Research

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

Diffusion-based generative models’ impressive ability to create convincing images has garnered global attention. However, their complex structures and operations often pose challenges for non-experts to grasp. We present Diffusion Explainer, the first interactive visualization tool that explains how Stable Diffusion transforms text prompts into images. Diffusion Explainer tightly integrates a visual overview of Stable Diffusion’s complex structure with explanations of the underlying operations. By comparing image generation of prompt variants, users can discover the impact of keyword changes on image generation. A 56-participant user study demonstrates that Diffusion Explainer offers substantial learning benefits to non-experts. Our tool has been used by over 10,300 users from 124 countries at https://***/diffusion-explainer/.

关键词： visualization Image synthesis visual analytics Blogs Text to image Transforms Animation

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AltGeoViz: Facilitating Accessible Geovisualization

AltGeoViz: Facilitating Accessible Geovisualization

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International conference on visualisation, vis

作者： Chu Li Rock Yuren Pang Ather Sharif Arnavi Chheda-Kothary Jeffrey Heer Jon E. Froehlich University of Washington

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

Geovisualizations are powerful tools for exploratory spatial analysis, enabling sighted users to discern patterns, trends, and relationships within geographic data. However, these visual tools have remained largely inaccessible to screen-reader users. We introduce AltGeoViz, a new interactive geovisualization approach that dynamically generates alt-text descriptions based on the user’s current map view, providing voiceover summaries of spatial patterns and descriptive statistics. In a remote user study with five screen-reader users, we found that participants were able to interact with spatial data in previously infeasible ways, demonstrated a clear understanding of data summaries and their location context, and could synthesize spatial understandings of their explorations. Moreover, we identified key areas for improvement, such as the addition of spatial navigation controls and comparative analysis features.

关键词： Navigation visual analytics Data visualization Market research Spatial databases

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