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ieee visualization conference (VIS)

作者： Choi, Jiwon Jo, Jaemin Sungkyunkwan Univ Seoul South Korea

ISBN: (数字)9781665488129

ISBN: (纸本)9781665488129

We present Intentable, a mixed-initiative caption authoring system that allows the author to steer an automatic caption generation process to reflect their intent, e.g., the finding that the author gained from visualization and thus wants to write a caption for. We first derive a grammar for specifying the intent, i.e., a caption recipe, and build a neural network that generates caption sentences given a recipe. Our quantitative evaluation revealed that our intent-based generation system not only allows the author to engage in the generation process but also produces more fluent captions than the previous end-to-end approaches without user intervention. Finally, we demonstrate the versatility of our system, such as context adaptation, unit conversion, and sentence reordering.

关键词： Human-centered computing visualization visualization systems and tools Human-centered computing Humancomputer interaction (HCI) Interactive systems and tools

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Investigating Innovative User Interfaces for Data visualization and Analysis 2

Investigating Innovative User Interfaces for Data Visualizat...

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2nd ieee International conference on Futuristic Technologies, INCOFT 2023

作者： Kumar, V. Mathan Balakumar, P. Katikar, Shilpa M. Singh, Satendra Yadav, Rakesh Kumar Kamalraj, R. Academy of Higher Education Department of Computer Science Karpagam Coimbatore641021 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Information Technology Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Vivekananda Global University Department of Mechanical Engineering Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Department of Computer Science and Information Technology Karnataka Bangalore India

ISBN: (纸本)9798350308846

This paper will explore current studies and developments in consumer interfaces for records visualization and analysis. Mainly that specialize in how innovative consumer interfaces can make choices better than present-day ones. The studies will look at various consumer interfaces, discover and explore their strengths and weaknesses, and discuss opportunities for further studies and innovation in this location. Examples of revolutionary consumer interfaces discussed within the paper might be evaluated for their capability to grow a person's information and engagement with records, lessen the cognitive load, improve enjoyment, and better combine documents with meaningful visualizations. The consequences of this research could be priceless in terms of assisting in designing effective and person-pleasant document visualization consumer interfaces on multiple systems, including desktop, mobile devices, and virtual pills. © 2023 ieee.

关键词： Consumer Devices Mobile Pleasant visualization

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A Review: Transformative Impact of Data visualization Across Various Industries 8

A Review: Transformative Impact of Data Visualization Across...

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8th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Sharma, Mansi Puri, Chetan Kumar, Praveen Department of Computer Science and Design Wardha India Department of Computer Science and Medical Engineering Wardha India

ISBN: (纸本)9798350376425

In today's data-driven world, data visualization has emerged as a powerful tool for transforming raw data into actionable insights. This paper explores the profound impact of data visualization across various industries, including banking, healthcare, and education. By utilizing advanced visualization tools, professionals can gain unparalleled clarity in identifying patterns, trends, and hidden opportunities within complex datasets. The introduction of dynamic dashboards and immersive 3D representations are revolutionizing the process of data interpretation, enabling real-time monitoring and enhanced spatial understanding. This research study analyzes the transformative effects of data visualization on decision-making, particularly in the realm of finance and budgeting. Visual representations can uncover hidden patterns, mitigate risks, and inform strategic decisions. Beyond these industries, data visualization is also revolutionizing marketing, manufacturing, and education. By enhancing creativity, streamlining workflows, and improving communication, visual experiences are driving innovation and progress. Overall, data visualization is a critical tool for unlocking the value of data in today's information-intensive world. By providing actionable insights and driving effective decision-making, data visualization is transforming industries and empowering organizations to achieve their goals. © 2024 ieee.

关键词： Budget control

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Research on Classification of Malicious Code Visualized Target Detection 2

Research on Classification of Malicious Code Visualized Targ...

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2nd International conference on Signal Processing and Intelligent Computing, SPIC 2024

作者： He, Zipeng Zhao, Yuntao Yang, Jianjun Shenyang Ligong University School of Information Science and Engineering Shenyang China Unit 6409 of the People's Liberation Army Fushun China

ISBN: (纸本)9798350368888

With the generation of a large number of variant malicious codes in various forms, traditional detection techniques can no longer accurately detect these unknown malicious codes, and the malicious code visualization method can express the core of malicious codes in image features, which can more accurately identify the malicious codes. Firstly, we summarize the current malicious code detection methods, then introduce the malicious code visualization and the data set required for the experiment, and finally use the deep learning method to classify and detect the visualized malicious code images, aiming to test the effect of the malicious code visualization and a detection method that is based on the deep learning method, and help developing malicious code detection technology. © 2024 ieee.

关键词： Adversarial machine learning

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guitARhero: Interactive Augmented Reality Guitar Tutorials

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ieee TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2023年第11期29卷 4676-4685页

作者： Skreinig, Lucchas Ribeiro Kalkofen, Denis Stanescu, Ana Mohr, Peter Heyen, Frank Mori, Shohei Sedlmair, Michael Schmalstieg, Dieter Plopski, Alexander Graz Univ Technol Graz Austria Flinders Univ S Australia Adelaide Australia Univ Stuttgart Stuttgart Germany

This paper presents guitARhero, an Augmented Reality application for interactively teaching guitar playing to beginners through responsive visualizations overlaid on the guitar neck. We support two types of visual guidance, a highlighting of the frets that need to be pressed and a 3D hand overlay, as well as two display scenarios, one using a desktop magic mirror and one using a video see-through head-mounted display. We conducted a user study with 20 participants to evaluate how well users could follow instructions presented with different guidance and display combinations and compare these to a baseline where users had to follow video instructions. Our study highlights the trade-off between the provided information and visual clarity affecting the user's ability to interpret and follow instructions for fine-grained tasks. We show that the perceived usefulness of instruction integration into an HMD view highly depends on the hardware capabilities and instruction details.

关键词： visualization Monitoring Instruments Neck Resists Three-dimensional displays Mirrors Augmented reality Computer-assisted instruction Graphical user interfaces

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An Overview of Descriptive Analytics and Data visualization 5

An Overview of Descriptive Analytics and Data Visualization

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5th International conference on Smart Electronics and Communication, ICOSEC 2024

作者： Geetha, V. Sujatha, N. P. G & Research Department of Computer Science Tamil Nadu Madurai India Lady Doak College Madurai Kamaraj University Department of Computer Science Tamilnadu Madurai India

ISBN: (纸本)9798331504403

Descriptive analytics, a fundamental component of data science, focuses on analyzing historical data to identify patterns and trends. By employing statistical methods and data visualization techniques, descriptive analytics provides valuable insights into past events and facilitates informed decision-making. This research explores the key concepts and techniques associated with descriptive analytics. It highlights the importance of data visualization in understanding complex datasets and introduces various visualization methods, including dashboards, scatter plots, bar charts, histograms, box plots, pair plots, and heat maps. Additionally, the study discusses the use of statistical metrics for analyzing numerical data and understanding its center and spread. By learning descriptive analytics, researchers and data scientists can extract meaningful information from structured data and gain a deeper understanding of the underlying trends and patterns. This knowledge can be applied to various domains, including business intelligence, research, and decision-making. © 2024 ieee.

关键词： Central Tendency Descriptive Statistics Dispersion Relationship Skewness visualization

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HPC²lusterScape: Increasing Transparency and Efficiency of Shared High-Performance Computing Clusters for Large-scale AI Models

HPC<SUP>2</SUP>lusterScape: Increasing Transparency and Effi...

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ieee conference on visualization in Data Science (VDS)

作者： Park, Heungseok Cho, Aeree Jeon, Hyojun Lee, Hayoung Yang, Youngil Lee, Sungjae Lee, Heungsub Choo, Jaegul NAVER Labs Seongnam South Korea Georgia Tech Atlanta GA USA NAVER Cloud Corp Seongnam South Korea Korea Adv Inst Sci & Technol Daejeon South Korea

ISBN: (纸本)9798350330205

The emergence of large-scale AI models, like GPT-4, has significantly impacted academia and industry, driving the demand for high-performance computing (HPC) to accelerate workloads. To address this, we present HPC(2)lusterScape, a visualization system that enhances the efficiency and transparency of shared HPC clusters for large-scale AI models. HPC(2)lusterScape provides a comprehensive overview of system-level (e.g., partitions, hosts, and workload status) and application-level (e.g., identification of experiments and researchers) information, allowing HPC operators and machine learning researchers to monitor resource utilization and identify issues through customizable violation rules. The system includes diagnostic tools to investigate workload imbalances and synchronization bottlenecks in large-scale distributed deep learning experiments. Deployed in industrial-scale HPC clusters, HPC(2)lusterScape incorporates user feedback and meets specific requirements. This paper outlines the challenges and prerequisites for efficient HPC operation, introduces the interactive visualization system, and highlights its contributions in addressing pain points and optimizing resource utilization in shared HPC clusters.

关键词： visualization for AI High-performance computing large-scale distributed learning unit visualizations

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Multi-Organ 3D Reconstruction and Virtual Reality visualization Using Graph-Based Segmentation 4

Multi-Organ 3D Reconstruction and Virtual Reality Visualizat...

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4th International conference of Science and information Technology in Smart Administration, ICSINTESA 2024

作者： Nagendra, Roshni Iyer, Saanchita V Dinakar, Punarv Repalle, Shanmukha Sai Kalyan Likitha, P. Pes University Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350376111

Virtual reality (VR) is an emerging technology with promising applications in organ visualization. Recognizing that this could be valuable in the field of medical education, we devised a pipeline that utilizes classical MRI scans to reconstruct and visualize the heart and the brain in an immersive virtual reality environment. Our tool mainly focuses on incorporating visual learning into medical education, making it interactive and intuitive for aspiring practitioners. The pipeline comprises three key steps: a novel graph-based organ segmentation technique, 3D reconstruction, and VR visualization. The segmentation and reconstruction results were validated through high SSIM and PSNR scores, which showcases that structural details from the MRI are preserved with minimal noise. The visualization results were presented to aspiring medical students and professionals as part of a survey, and their positive responses highlighted the potential impact of our research. © 2024 ieee.

关键词： Virtual environments

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VisAgent: Narrative-Preserving Story visualization Framework

VisAgent: Narrative-Preserving Story Visualization Framework

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2025 ieee International conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Kim, Seungkwon Park, GyuTae Kim, Sangyeon Nam, Seung-Hun NAVER WEBTOON AI Korea Republic of Seoul National University Korea Republic of

ISBN: (纸本)9798350368741

Story visualization is the transformation of narrative elements into image sequences. While existing research has primarily focused on visual contextual coherence, the deeper narrative essence of stories often remains overlooked. This limitation hinders the practical application of these approaches, as generated images frequently fail to capture the intended meaning and nuances of the narrative fully. To address these challenges, we propose VisAgent, a training-free multi-agent framework designed to comprehend and visualize pivotal scenes within a given story. By considering story distillation, semantic consistency, and contextual coherence, VisAgent employs an agentic workflow. In this workflow, multiple specialized agents collaborate to: (i) refine layered prompts based on the narrative structure and (ii) seamlessly integrate generated elements, including refined prompts, scene elements, and subject placement, into the final image. The empirically validated effectiveness confirms the framework's suitability for practical story visualization applications. © 2025 ieee.

关键词： Multi-agent framework Narrative-preserving story visualization Semantic consistency Story distillation

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Tomato Presence: Virtual Hand Ownership with a Disappearing Hand

Tomato Presence: Virtual Hand Ownership with a Disappearing ...

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30th ieee conference Virtual Reality and 3D User Interfaces (ieee VR)

作者： Steed, Anthony Drga, Vit UCL Dept Comp Sci London England

ISBN: (纸本)9798350348392

Tomato presence is a term coined by Owlchemy Labs to refer to the observation that players of their game Job Simulator can experience 'hand presence' over an object that is not their hand. When playing the game, if a player grabs an object, their virtual hand disappears leaving the grabbed object. While players still observe a direct proprioceptive match between their hand movements and the object being manipulated, it seems that there should be a conflict with current theories of how users might react to visual/proprioceptive mismatch of their embodiment. We run a hand ownership experiment where we implement standard object grasp and the disappearing hand grasp. We show that on a body-ownership questionnaire there is evidence to support the notion that users still feel ownership over a virtual hand even though it is periodically disappearing. We also confirm that most users do not report that their hand disappeared.

关键词： Human-centered computing-visualization-visualization techniques-Treemaps Human-centered computing-visualization-visualization design and evaluation methods

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