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检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

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Designing a user centric VR UI/UX for scientific visualisation

Designing a user centric VR UI/UX for scientific visualisati...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Mathieu Westphal Kitware

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Scientific visualization (scivis) is an important tool for all scientific domains that aims to reveal the most salient information out of raw data and display it in an intuitive way so that users can make decisions based on their data characteristics. Virtual reality (VR) is a dedicated technique to render three-dimensional data as a real world interactive and immersive scene. ParaView [2] is a leading open-source scivis software providing many tools for data analysis and visualization. ParaView has been providing VR support for some time now but it has been improved greatly in the last few years, based on feedback from users in the industry and academia alike, especially in regards to menu interactions and collaboration. This work brings insight into the new VR interface and how it provides clear and intuitive access to features and how collaborative VR can be an integral tool for scivis in the future.

关键词： Industries Three-dimensional displays Data analysis conferences Collaboration Data visualization Virtual reality User experience Software

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Design-O-Meter: Towards Evaluating and Refining Graphic Designs

Design-O-Meter: Towards Evaluating and Refining Graphic Desi...

引用

2025 ieee/CVF Winter conference on Applications of Computer Vision, WACV 2025

作者： Goyal, Sahil Mahajan, Abhinav Mishra, Swasti Udhayanan, Prateksha Shukla, Tripti Joseph, K.J. Srinivasan, Balaji Vasan Iit Roorkee India Iiit Bangalore India Adobe Research United States

ISBN: (纸本)9798331510831

Graphic designs are an effective medium for visual communication. They range from greeting cards to corporate flyers and beyond. Off-late, machine learning techniques are able to generate such designs, which accelerates the rate of content production. An automated way of evaluating their quality becomes critical. Towards this end, we introduce Design-o-meter, a data-driven methodology to quantify the goodness of graphic designs. Further, our approach can suggest modifications to these designs to improve its visual appeal. To the best of our knowledge, Design-o-meter is the first approach that scores and refines designs in a unified framework despite the inherent subjectivity and ambiguity of the setting. Our exhaustive quantitative and qualitative analysis of our approach against baselines adapted for the task (including recent Multimodal LLM-based approaches) brings out the efficacy of our methodology. We hope our work will usher more interest in this important and pragmatic problem setting. Project Page: ***/Design-o-meter. © 2025 ieee.

关键词： visualization

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Road Traffic Congestion Exploration and visualization Using Open Spatial-Temporal Data and HCI Principles

Road Traffic Congestion Exploration and Visualization Using ...

引用

ieee Annual Computing and Communication Workshop and conference (CCWC)

作者： Yazmin Elizabet Martinez Wolfgang Bein Department of Computer Science University of Nevada Las Vegas Las Vegas USA

ISBN: (数字)9798331507695

ISBN: (纸本)9798331507701

Traffic congestion on the roads of the Las Vegas Valley is a growing problem. However, due to the complexity of traffic congestion, it is challenging to find timing problems with traffic signals that contribute to the congestion. information visualization, geospatial maps, and modern visualization techniques can help domain experts and the public to analyze, understand, and interact with the data to explore and confirm the causes of traffic congestion. Identifying traffic signals that cause traffic congestion offers domain experts a tool for monitoring traffic signal issues and improving road traffic. Before uncovering road congestion causes, we must first identify the traffic signals or intersections that are most congested to get an overview of the congestion throughout the city's road network. This paper includes preliminary results of a 2D geospatial map design that follows Human-Computer Interaction (HCI) principles of reducing working memory load by providing interactive map features and alternative interfaces for expert and novice users. The informal feedback from a GIS and data visualization specialist on the 2D geospatial map design showed promise, however, for future work the design must be validated with other baseline approaches, data sets, and a user study.

关键词： Human computer interaction Roads conferences Urban areas Data visualization Road traffic Geospatial analysis Timing Traffic congestion Monitoring

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visualization of sound propagating in multiple directions in a single recording using digital holography

Visualization of sound propagating in multiple directions in...

引用

2024 International conference on Photonics Solutions, ICPS 2024

作者： Sakiyama, Nao Yoneda, Naru Awatsuji, Yasuhiro Matoba, Osamu Graduate School of System Informatics Kobe University 1-1 Rokkodai-cho Nada-ku Kobe Japan Center of Optical Scattering Image Science Kobe University 1-1 Rokkodai-cho Nada-ku Kobe Japan Kyoto Institute of Technology Kamikyobashi-cho Matsugasaki Sakyo-ku Kyoto Japan

ISBN: (数字)9781510688308

ISBN: (纸本)9781510688292

The propagation of sound waves is one of the phenomena invisible to the human eye. Using digital holography, the sound field can be recorded with high temporal and spatial resolution. However, the field of view and maximum frequency of the sound field are determined by the image sensor. This research has made it possible to visualize sound waves of different frequencies propagating in different directions by multiplexed recording even in under-sampling condition. The results will be invaluable in identifying the sound sources and the directivity of the sounds. © 2025 SPIE.

关键词： Sound recording

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Influence of Audiovisual Realism on Communication Behaviour in Group-to-Group Telepresence 32

Influence of Audiovisual Realism on Communication Behaviour ...

引用

32nd ieee conference on Virtual Reality and 3D User Interfaces, VR 2025

作者： Rendle, Gareth Immohr, Felix Kehling, Christian Lammert, Anton Kreskowski, Adrian Brandenburg, Karlheinz Raake, Alexander Froehlich, Bernd Bauhaus-Universität Weimar Virtual Reality and Visualization Germany Technische Universität Audiovisual Technology Group Ilmenau Germany Technische Universität Electronic Media Technology Group Ilmenau Germany

ISBN: (纸本)9798331536459

Group-to-group telepresence systems immerse geographically separated groups in a shared interaction space where remote users are represented as avatars. Notably, such systems allow users to interact with collocated and remote interlocutors simultaneously. In this context, where virtual user representations can be directly compared with real users, we investigate how visual realism (avatar type) and aural realism (presence of spatial audio) affect communication. Furthermore, we examine how communication differs between collocated and remote pairs of interlocutors. In our user study, groups of four participants perform a collaborative conversation task under the aforementioned visual and aural realism conditions. Our results indicate that avatar realism has positive effects on subjective ratings of perceived message understanding and group cohesion, and yields behavioural differences that indicate more interactivity and engagement. Few significant effects of aural realism were observed. Comparisons between collocated and remote communication found that collocated communication was perceived as more effective, but that more visual attention was paid to both remote participants than the collocated user. © 2025 ieee.

关键词： Audiovisual

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Aquaponic Farming with Advanced Decision Support System: Practical Implementation and Evaluation 6

Aquaponic Farming with Advanced Decision Support System: Pra...

引用

6th ieee International conference on Image Processing, Applications and Systems, IPAS 2025

作者： Pechlivani, Eleftheria Maria Gkogkos, Georgios Christakakis, Panagiotis Kapetas, Dimitrios Hadjigeorgiou, Ioannis Ioannidis, Dimosthenis Tzovaras, Dimitrios Centre for Research and Technology Hellas Information Technologies Institute Thessaloniki Greece Sidroco Holdings Ltd. Nicosia Cyprus

ISBN: (纸本)9798331506520

The adoption of Decision Support Systems (DSS) by farmers faces significant challenges, including the need for user-friendly interfaces, comprehensive training, reliable support, and affordable pricing. Addressing these challenges is critical to advancing sustainable agriculture and meeting global food production demands. This paper introduces an advanced DSS tailored for aquaponics, leveraging cutting-edge technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain. These technologies are integrated into the DSS to optimize resource management, ensure cybersecurity, and simplify complex processes through an intuitive interface. Real-time data is presented in an accessible format, enabling farmers of all skill levels to adopt the system with ease. The DSS features AI-driven robotic traps with 75% accuracy in real-time insect detection, autonomous robots achieving 94% precision in 3D spot spraying, and nutrient analyzers with over 92% accuracy in monitoring critical levels. A blockchain layer ensures secure data verification, traceability, and distributed AI model verification. Advanced hierarchical clustering algorithms analyze pest and nutrient dynamics, providing actionable insights for farm management. The system emphasizes interoperability and scalability, supporting seamless integration with various aquaponic setups. Field evaluations demonstrate the DSS's capacity to reduce pesticide use by 50%, enhance crop yields, and lower sample analysis costs by 70%, highlighting its efficiency and sustainability. Data visualization latency remains below 430ms, enabling real-time responsiveness, while predictive models achieve 91% accuracy in forecasting pest population trends. These results solidify the DSS's role as a transformative tool in precision agriculture. By improving productivity, plant health, and the utilization of biopesticides and biofertilizers, this work bridges the gap between theoretical models and real-world applicat

关键词： Fertilizers

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Real-Time Point Cloud visualization for Sustainable Spatial Digital Twins

Real-Time Point Cloud Visualization for Sustainable Spatial ...

引用

ieee International conference on Consumer Electronics (ICCE)

作者： Tatsuya Kase Kenta Hasegawa Kaito Watanabe Takumi Miyoshi Taku Yamazaki Graduate School of Engineering and Science Shibaura Institute of Technology Saitama Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

City-scale spatial digital twins require extensive spatial information, such as city-scale point clouds, to remain updated. This study develops a 3D mobile crowdsensing system in which participants collect 3D point cloud data of urban spaces using LiDAR-equipped mobile devices. This system aggregates the collected partial point clouds on a server to merge them into the city digital twin. In such environments, city-scale point clouds are expected to support various smart city tasks. Therefore, diverse types of visualization are necessary for analysis and validation, including task examination, real-time system behavior verification, and crowdsensing system tracking. In this paper, we present a web-based, real-time point cloud visualization mechanism designed to offer tailored views for different use cases.

关键词： Point cloud compression Three-dimensional displays Laser radar Crowdsensing Smart cities Data visualization Real-time systems Mobile handsets Digital twins Servers

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VisualFusion: Enhancing Blog Content with Advanced Infographic Pipeline

VisualFusion: Enhancing Blog Content with Advanced Infograph...

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2025 ieee/CVF Winter conference on Applications of Computer Vision, WACV 2025

作者： Deo, Anurag Bhat, Savita Karande, Shirish Indian Institute of Technology Patna India Tcs Research India

ISBN: (纸本)9798331510831

Infographics represent a key component of any blog or article, facilitating effective communication of ideas while fos-tering reader engagement. However, many content creators possess limited expertise in crafting visually striking info-graphics. This gap is effectively addressed by our proposed pipeline, designed to aid writers in generating compelling infographics tailored to their written content. Our pipeline uses textual content and tabular data from the blog to gen-erate anchor plots. Leveraging LLM for prompt generation, the pipeline integrates the generated prompts with these anchor plots through a Image to Image (121) generation Model. We observe that majority of resulting images generated using this approach align with the article's narrative and effectively represent the underlying tabular data. Additionally, we introduce our proposed AADaT (Aesthetical Adherence to Data and Text) Score, adept at comprehen-sively assessing aesthetics, textual alignment, data fidelity, and overall image quality concurrently. In comparative evaluations, our pipeline has demonstrated around 15% superior performance relative to state-of-the-art models such as DALL-e and Stable Diffusion Large by showcasing much better data adherence and aesthetics. While state-of-the-art models excel in some metrics but falter in others, our pipeline demonstrates a balanced performance across all metrics. The source code and data corpus may be available on request. © 2025 ieee.

关键词： Data visualization

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CusConcept: Customized Visual Concept Decomposition with Diffusion Models

CusConcept: Customized Visual Concept Decomposition with Dif...

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2025 ieee/CVF Winter conference on Applications of Computer Vision, WACV 2025

作者： Xu, Zhi Hao, Shaozhe Han, Kai Zhejiang University China The University of Hong Kong Hong Kong

ISBN: (纸本)9798331510831

Enabling generative models to decompose visual concepts from a single image is a complex and challenging problem. In this paper, we study a new and challenging task, customized concept decomposition, wherein the objective is to leverage diffusion models to decompose a single image and generate visual concepts from various perspectives. To address this challenge, we propose a two-stage framework, CusConcept (short for Customized Visual Concept Decomposition), to extract customized visual concept embedding vectors that can be embedded into prompts for text-to-image generation. In the first stage, CusConcept employs a vocabulary-guided concept decomposition mechanism to build vocabularies along human-specified conceptual axes. The decomposed concepts are obtained by retrieving corresponding vocabularies and learning anchor weights. In the second stage, joint concept refinement is performed to enhance the fidelity and quality of generated images. We further curate an evaluation benchmark for assessing the performance of the open-world concept decomposition task. Our approach can effectively generate high-quality images of the decomposed concepts and produce related lexical predictions as secondary outcomes. Extensive qualitative and quantitative experiments demonstrate the effectiveness of CusConcept. Our code and data are available at https://***/xzLcan/CusConcept. © 2025 ieee.

关键词： visualization

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visualization of Flow Fields Around Drones Using Intermittent Smoke

Visualization of Flow Fields Around Drones Using Intermitten...

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ieee International conference on Consumer Electronics (ICCE)

作者： Yiming Li Kazuyuki Kojima Department of Mechanical Engineering Shonan Institute of Technology Fujisawa Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This study presents a method for visualizing the flow fields around multiple drones intended for gas leak detection in disaster areas, using intermittently generated smoke and image processing. As a preliminary step before conducting experiments with multiple drones, we focused on enhancing visualization performance. An experimental setup was constructed to conduct visualization experiments indoors. This setup is installed in a dark room, where a smoke generator is connected to a duct to create the flow path. Smoke is generated intermittently from the smoke device, and the cross-section of the flow path is extracted using a sheet laser. A transparent panel separates the interior and exterior of the duct, allowing for external image capture with a camera. Optical flow image processing is applied to the captured images, achieving visualization of the entire flow path.

关键词： visualization Image motion analysis Computer vision Disasters Ducts Lasers Generators Leak detection Optical flow Drones

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