IEEE transactions on visualization and computer graphics最新文献_第8页

Generalization of CNNs on Relational Reasoning With Bar Charts. 利用条形图进行关系推理的 CNN 通用化。

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-19 DOI: 10.1109/TVCG.2024.3463800

Zhenxing Cui, Lu Chen, Yunhai Wang, Daniel Haehn, Yong Wang, Hanspeter Pfister

引用次数: 0

Adaptive Complementary Filter for Hybrid Inside-Out Outside-In HMD Tracking With Smooth Transitions. 自适应互补滤波器用于具有平滑过渡功能的内外混合 HMD 跟踪。

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-19 DOI: 10.1109/TVCG.2024.3464738

Riccardo Monica, Dario Lodi Rizzini, Jacopo Aleotti

{"title":"Adaptive Complementary Filter for Hybrid Inside-Out Outside-In HMD Tracking With Smooth Transitions.","authors":"Riccardo Monica, Dario Lodi Rizzini, Jacopo Aleotti","doi":"10.1109/TVCG.2024.3464738","DOIUrl":"10.1109/TVCG.2024.3464738","url":null,"abstract":"<p><p>Head-mounted displays (HMDs) in room-scale virtual reality are usually tracked using inside-out visual SLAM algorithms. Alternatively, to track the motion of the HMD with respect to a fixed real-world reference frame, an outside-in instrumentation like a motion capture system can be adopted. However, outside-in tracking systems may temporarily lose tracking as they suffer by occlusion and blind spots. A possible solution is to adopt a hybrid approach where the inside-out tracker of the HMD is augmented with an outside-in sensing system. On the other hand, when the tracking signal of the outside-in system is recovered after a loss of tracking the transition from inside-out tracking to hybrid tracking may generate a discontinuity, i.e a sudden change of the virtual viewpoint, that can be uncomfortable for the user. Therefore, hybrid tracking solutions for HMDs require advanced sensor fusion algorithms to obtain a smooth transition. This work proposes a method for hybrid tracking of a HMD with smooth transitions based on an adaptive complementary filter. The proposed approach can be configured with several parameters that determine a trade-off between user experience and tracking error. A user study was carried out in a room-scale virtual reality environment, where users carried out two different tasks while multiple signal tracking losses of the outside-in sensor system occurred. The results show that the proposed approach improves user experience compared to a standard Extended Kalman Filter, and that tracking error is lower compared to a state-of-the-art complementary filter when configured for the same quality of user experience.</p>","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rapid and Precise Topological Comparison with Merge Tree Neural Networks 利用合并树神经网络进行快速精确的拓扑比较。

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-19 DOI: 10.1109/TVCG.2024.3456395

Yu Qin;Brittany Terese Fasy;Carola Wenk;Brian Summa

{"title":"Rapid and Precise Topological Comparison with Merge Tree Neural Networks","authors":"Yu Qin;Brittany Terese Fasy;Carola Wenk;Brian Summa","doi":"10.1109/TVCG.2024.3456395","DOIUrl":"10.1109/TVCG.2024.3456395","url":null,"abstract":"Merge trees are a valuable tool in the scientific visualization of scalar fields; however, current methods for merge tree comparisons are computationally expensive, primarily due to the exhaustive matching between tree nodes. To address this challenge, we introduce the Merge Tree Neural Network (MTNN), a learned neural network model designed for merge tree comparison. The MTNN enables rapid and high-quality similarity computation. We first demonstrate how to train graph neural networks, which emerged as effective encoders for graphs, in order to produce embeddings of merge trees in vector spaces for efficient similarity comparison. Next, we formulate the novel MTNN model that further improves the similarity comparisons by integrating the tree and node embeddings with a new topological attention mechanism. We demonstrate the effectiveness of our model on real-world data in different domains and examine our model's generalizability across various datasets. Our experimental analysis demonstrates our approach's superiority in accuracy and efficiency. In particular, we speed up the prior state-of-the-art by more than 100× on the benchmark datasets while maintaining an error rate below 0.1%.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"31 1","pages":"1322-1332"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Who Let the Guards Out: Visual Support for Patrolling Games 谁放走了守卫？巡逻游戏的视觉支持

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-18 DOI: 10.1109/TVCG.2024.3456306

Matěj Lang;Adam Štěpánek;Róbert Zvara;Vojtěch Řehák;Barbora Kozlíková

{"title":"Who Let the Guards Out: Visual Support for Patrolling Games","authors":"Matěj Lang;Adam Štěpánek;Róbert Zvara;Vojtěch Řehák;Barbora Kozlíková","doi":"10.1109/TVCG.2024.3456306","DOIUrl":"10.1109/TVCG.2024.3456306","url":null,"abstract":"Effective security patrol management is critical for ensuring safety in diverse environments such as art galleries, airports, and factories. The behavior of patrols in these situations can be modeled by patrolling games. They simulate the behavior of the patrol and adversary in the building, which is modeled as a graph of interconnected nodes representing rooms. The designers of algorithms solving the game face the problem of analyzing complex graph layouts with temporal dependencies. Therefore, appropriate visual support is crucial for them to work effectively. In this paper, we present a novel tool that helps the designers of patrolling games explore the outcomes of the proposed algorithms and approaches, evaluate their success rate, and propose modifications that can improve their solutions. Our tool offers an intuitive and interactive interface, featuring a detailed exploration of patrol routes and probabilities of taking them, simulation of patrols, and other requested features. In close collaboration with experts in designing patrolling games, we conducted three case studies demonstrating the usage and usefulness of our tool. The prototype of the tool, along with exemplary datasets, is available at https://gitlab.fi.muni.cz/formela/strategy-vizualizer.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"31 1","pages":"34-43"},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Multi-Level Task Framework for Event Sequence Analysis 事件序列分析的多层次任务框架

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-18 DOI: 10.1109/TVCG.2024.3456510

Kazi Tasnim Zinat;Saimadhav Naga Sakhamuri;Aaron Sun Chen;Zhicheng Liu

{"title":"A Multi-Level Task Framework for Event Sequence Analysis","authors":"Kazi Tasnim Zinat;Saimadhav Naga Sakhamuri;Aaron Sun Chen;Zhicheng Liu","doi":"10.1109/TVCG.2024.3456510","DOIUrl":"10.1109/TVCG.2024.3456510","url":null,"abstract":"Despite the development of numerous visual analytics tools for event sequence data across various domains, including but not limited to healthcare, digital marketing, and user behavior analysis, comparing these domain-specific investigations and transferring the results to new datasets and problem areas remain challenging. Task abstractions can help us go beyond domain-specific details, but existing visualization task abstractions are insufficient for event sequence visual analytics because they primarily focus on multivariate datasets and often overlook automated analytical techniques. To address this gap, we propose a domain-agnostic multi-level task framework for event sequence analytics, derived from an analysis of 58 papers that present event sequence visualization systems. Our framework consists of four levels: objective, intent, strategy, and technique. Overall objectives identify the main goals of analysis. Intents comprises five high-level approaches adopted at each analysis step: augment data, simplify data, configure data, configure visualization, and manage provenance. Each intent is accomplished through a number of strategies, for instance, data simplification can be achieved through aggregation, summarization, or segmentation. Finally, each strategy can be implemented by a set of techniques depending on the input and output components. We further show that each technique can be expressed through a quartet of action-input-output-criteria. We demonstrate the framework's descriptive power through case studies and discuss its similarities and differences with previous event sequence task taxonomies.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"31 1","pages":"842-852"},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Language of Infographics: Toward Understanding Conceptual Metaphor Use in Scientific Storytelling 信息图表的语言：了解科学故事中概念隐喻的使用

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-17 DOI: 10.1109/TVCG.2024.3456327

Hana Pokojná;Tobias Isenberg;Stefan Bruckner;Barbora Kozlíková;Laura Garrison

{"title":"The Language of Infographics: Toward Understanding Conceptual Metaphor Use in Scientific Storytelling","authors":"Hana Pokojná;Tobias Isenberg;Stefan Bruckner;Barbora Kozlíková;Laura Garrison","doi":"10.1109/TVCG.2024.3456327","DOIUrl":"10.1109/TVCG.2024.3456327","url":null,"abstract":"We apply an approach from cognitive linguistics by mapping Conceptual Metaphor Theory (CMT) to the visualization domain to address patterns of visual conceptual metaphors that are often used in science infographics. Metaphors play an essential part in visual communication and are frequently employed to explain complex concepts. However, their use is often based on intuition, rather than following a formal process. At present, we lack tools and language for understanding and describing metaphor use in visualization to the extent where taxonomy and grammar could guide the creation of visual components, e.g., infographics. Our classification of the visual conceptual mappings within scientific representations is based on the breakdown of visual components in existing scientific infographics. We demonstrate the development of this mapping through a detailed analysis of data collected from four domains (biomedicine, climate, space, and anthropology) that represent a diverse range of visual conceptual metaphors used in the visual communication of science. This work allows us to identify patterns of visual conceptual metaphor use within the domains, resolve ambiguities about why specific conceptual metaphors are used, and develop a better overall understanding of visual metaphor use in scientific infographics. Our analysis shows that ontological and orientational conceptual metaphors are the most widely applied to translate complex scientific concepts. To support our findings we developed a visual exploratory tool based on the collected database that places the individual infographics on a spatio-temporal scale and illustrates the breakdown of visual conceptual metaphors.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"31 1","pages":"371-381"},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations 针对文本空间化的潜在嵌入和降维的大规模敏感性分析

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-17 DOI: 10.1109/TVCG.2024.3456308

Daniel Atzberger;Tim Cech;Willy Scheibel;Jürgen Döllner;Michael Behrisch;Tobias Schreck

{"title":"A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations","authors":"Daniel Atzberger;Tim Cech;Willy Scheibel;Jürgen Döllner;Michael Behrisch;Tobias Schreck","doi":"10.1109/TVCG.2024.3456308","DOIUrl":"10.1109/TVCG.2024.3456308","url":null,"abstract":"The semantic similarity between documents of a text corpus can be visualized using map-like metaphors based on two-dimensional scatterplot layouts. These layouts result from a dimensionality reduction on the document-term matrix or a representation within a latent embedding, including topic models. Thereby, the resulting layout depends on the input data and hyperparameters of the dimensionality reduction and is therefore affected by changes in them. Furthermore, the resulting layout is affected by changes in the input data and hyperparameters of the dimensionality reduction. However, such changes to the layout require additional cognitive efforts from the user. In this work, we present a sensitivity study that analyzes the stability of these layouts concerning (1) changes in the text corpora, (2) changes in the hyperparameter, and (3) randomness in the initialization. Our approach has two stages: data measurement and data analysis. First, we derived layouts for the combination of three text corpora and six text embeddings and a grid-search-inspired hyperparameter selection of the dimensionality reductions. Afterward, we quantified the similarity of the layouts through ten metrics, concerning local and global structures and class separation. Second, we analyzed the resulting 42 817 tabular data points in a descriptive statistical analysis. From this, we derived guidelines for informed decisions on the layout algorithm and highlight specific hyperparameter settings. We provide our implementation as a Git repository at hpicgs/Topic-Models-and-Dimensionality-Reduction-Sensitivity-Study and results as Zenodo archive at DOI:10.5281/zenodo.12772898.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"31 1","pages":"305-315"},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unmasking Dunning-Kruger Effect in Visual Reasoning & Judgment 揭示视觉推理与判断中的邓宁-克鲁格效应

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-17 DOI: 10.1109/TVCG.2024.3456326

Mengyu Chen;Yijun Liu;Emily Wall

引用次数: 0

Gesture2Text: A Generalizable Decoder for Word-Gesture Keyboards in XR Through Trajectory Coarse Discretization and Pre-Training Gesture2Text：通过轨迹粗离散化和预训练为 XR 中的文字手势键盘设计通用解码器。

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-16 DOI: 10.1109/TVCG.2024.3456198

Junxiao Shen;Khadija Khaldi;Enmin Zhou;Hemant Bhaskar Surale;Amy Karlson

{"title":"Gesture2Text: A Generalizable Decoder for Word-Gesture Keyboards in XR Through Trajectory Coarse Discretization and Pre-Training","authors":"Junxiao Shen;Khadija Khaldi;Enmin Zhou;Hemant Bhaskar Surale;Amy Karlson","doi":"10.1109/TVCG.2024.3456198","DOIUrl":"10.1109/TVCG.2024.3456198","url":null,"abstract":"Text entry with word-gesture keyboards (WGK) is emerging as a popular method and becoming a key interaction for Extended Reality (XR). However, the diversity of interaction modes, keyboard sizes, and visual feedback in these environments introduces divergent word-gesture trajectory data patterns, thus leading to complexity in decoding trajectories into text. Template-matching decoding methods, such as SHARK2 [32], are commonly used for these WGK systems because they are easy to implement and configure. However, these methods are susceptible to decoding inaccuracies for noisy trajectories. While conventional neural-network-based decoders (neural decoders) trained on word-gesture trajectory data have been proposed to improve accuracy, they have their own limitations: they require extensive data for training and deep-learning expertise for implementation. To address these challenges, we propose a novel solution that combines ease of implementation with high decoding accuracy: a generalizable neural decoder enabled by pre-training on large-scale coarsely discretized word-gesture trajectories. This approach produces a ready-to-use WGK decoder that is generalizable across mid-air and on-surface WGK systems in augmented reality (AR) and virtual reality (VR), which is evident by a robust average Top-4 accuracy of 90.4% on four diverse datasets. It significantly outperforms SHARK2 with a 37.2% enhancement and surpasses the conventional neural decoder by 7.4%. Moreover, the Pre-trained Neural Decoder's size is only 4 MB after quantization, without sacrificing accuracy, and it can operate in real-time, executing in just 97 milliseconds on Quest 3.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"30 11","pages":"7118-7128"},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CataAnno: An Ancient Catalog Annotator for Annotation Cleaning by Recommendation CataAnno：通过推荐进行注释清理的古代目录注释器

IEEE transactions on visualization and computer graphics Pub Date : 2024-09-16 DOI: 10.1109/TVCG.2024.3456379

Hanning Shao;Xiaoru Yuan

{"title":"CataAnno: An Ancient Catalog Annotator for Annotation Cleaning by Recommendation","authors":"Hanning Shao;Xiaoru Yuan","doi":"10.1109/TVCG.2024.3456379","DOIUrl":"10.1109/TVCG.2024.3456379","url":null,"abstract":"Classical bibliography, by researching preserved catalogs from both official archives and personal collections of accumulated books, examines the books throughout history, thereby revealing cultural development across historical periods. In this work, we collaborate with domain experts to accomplish the task of data annotation concerning Chinese ancient catalogs. We introduce the CataAnno system that facilitates users in completing annotations more efficiently through cross-linked views, recommendation methods and convenient annotation interactions. The recommendation method can learn the background knowledge and annotation patterns that experts subconsciously integrate into the data during prior annotation processes. CataAnno searches for the most relevant examples previously annotated and recommends to the user. Meanwhile, the cross-linked views assist users in comprehending the correlations between entries and offer explanations for these recommendations. Evaluation and expert feedback confirm that the CataAnno system, by offering high-quality recommendations and visualizing the relationships between entries, can mitigate the necessity for specialized knowledge during the annotation process. This results in enhanced accuracy and consistency in annotations, thereby enhancing the overall efficiency.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"31 1","pages":"404-414"},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0