{"title":"Enhancing Visual Analysis in Person Re-Identification With Vision-Language Models.","authors":"Wang Xia, Tianci Wang, Jiawei Li, Guodao Sun, Haidong Gao, Xu Tan, Ronghua Liang","doi":"10.1109/MCG.2025.3593227","DOIUrl":"https://doi.org/10.1109/MCG.2025.3593227","url":null,"abstract":"<p><p>Image-based person re-identification aims to match individuals across multiple cameras. Despite advances in machine learning, their effectiveness in real-world scenarios remains limited, often leaving users to handle fine-grained matching manually. Recent work has explored textual information as auxiliary cues, but existing methods generate coarse descriptions and fail to integrate them effectively into retrieval workflows. To address these issues, we adopt a vision-language model fine-tuned with domain-specific knowledge to generate detailed textual descriptions and keywords for pedestrian images. We then create a joint search space combining visual and textual information, using image clustering and keyword co-occurrence to build a semantic layout. Additionally, we introduce a dynamic spiral word cloud algorithm to improve visual presentation and enhance semantic associations. Finally, we conduct case studies, a user study, and expert feedback, demonstrating the usability and effectiveness of our system.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144735526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nina Errey, Yi Chen, Yu Dong, Quang Vinh Nguyen, Xiaoru Yuan, Tuck Wah Leong, Christy Jie Liang
{"title":"An Age-based Study into Interactive Narrative Visualization Engagement.","authors":"Nina Errey, Yi Chen, Yu Dong, Quang Vinh Nguyen, Xiaoru Yuan, Tuck Wah Leong, Christy Jie Liang","doi":"10.1109/MCG.2025.3591817","DOIUrl":"https://doi.org/10.1109/MCG.2025.3591817","url":null,"abstract":"<p><p>Research has shown that an audiences' age impacts their engagement in digital media. Interactive narrative visualization is an increasingly popular form of digital media that combines data visualization and storytelling to convey important information. However, audience age is often overlooked by interactive narrative visualization authors. Using an established visualization engagement questionnaire, we ran an empirical experiment where we compared end-user engagement to audience age. We found a small difference in engagement scores where older age cohorts were less engaged than the youngest age cohort. Our qualitative analysis revealed that the terminology and overall understanding of interactive narrative patterns integrated into narrative visualization was more apparent in the feedback from younger age cohorts relative to the older age cohorts. We conclude this paper with a series of recommendations for authors of interactive narrative visualization on how to design inclusively for audiences according to their age.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do Language Model Agents Align with Humans in Rating Visualizations? An Empirical Study.","authors":"Zekai Shao, Yi Shan, Yixuan He, Yuxuan Yao, Junhong Wang, Xiaolong Zhang, Yu Zhang, Siming Chen","doi":"10.1109/MCG.2025.3586461","DOIUrl":"https://doi.org/10.1109/MCG.2025.3586461","url":null,"abstract":"<p><p>Large language models (LLMs) show potential in understanding visualizations and may capture design knowledge. However, their ability to predict human feedback remains unclear. To explore this, we conduct three studies evaluating the alignment between LLM-based agents and human ratings in visualization tasks. The first study replicates a human-subject study, showing promising agent performance in human-like reasoning and rating, and informing further experiments. The second study simulates six prior studies using agents and finds alignment correlates with experts' pre-experiment confidence. The third study tests enhancement techniques like input preprocessing and knowledge injection, revealing limitations in robustness and potential bias. These findings suggest that LLM-based agents can simulate human ratings when guided by high-confidence hypotheses from expert evaluators. We also demonstrate the usage scenario in rapid prototype evaluation and discuss future directions. We note that simulation may only serve as complements and cannot replace user studies.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tianhong Tian, Bingjia Li, Qingyue Li, Xiaohui Wang, Bruce D Campbell, Francesca Samsel
{"title":"Li Ethnic Group's Anthropomorphic Motifs: Art and Applications.","authors":"Tianhong Tian, Bingjia Li, Qingyue Li, Xiaohui Wang, Bruce D Campbell, Francesca Samsel","doi":"10.1109/MCG.2025.3567695","DOIUrl":"10.1109/MCG.2025.3567695","url":null,"abstract":"<p><p>In this article, we share an image library of anthropomorphic motifs found in the traditional patterns of the Li ethnic group, an indigenous population living on the island of Hainan, China. Existing pattern databases of the motifs lack visual coherence and accessibility for nonexperts. Our image-based framework enhances accessibility for artists and visual users through visual search features intended to facilitate easier understanding of multilayered patterns. This study applies semantic analysis and image processing algorithms to identify and deconstruct key elements within the motifs. We also present a modern redesign of these motifs for cultural innovation, offering new avenues for design in application.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 4","pages":"116-125"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jasmine T Otto, Malika Khurana, Noah Deutsch, Benjamin P S Donitz, Oskar Elek, Scott Davidoff
{"title":"MarsIPAN: Optimization and Negotiations in Mars Sample Return Scheduling Coordination.","authors":"Jasmine T Otto, Malika Khurana, Noah Deutsch, Benjamin P S Donitz, Oskar Elek, Scott Davidoff","doi":"10.1109/MCG.2025.3558426","DOIUrl":"10.1109/MCG.2025.3558426","url":null,"abstract":"<p><p>Resource allocation problems touch almost every aspect of modernity. We examine communication bandwidth optimization and negotiation in NASA's early stage Mars Sample Return (MSR) mission, which places multiple robots into a single region on Mars. We present a design study conducted over two years at the NASA Jet Propulsion Laboratory with MSR, which characterizes the design and evaluation of the deployed MarsIPAN schedule browser. We find that MarsIPAN changes the schedule analysis process, providing new insight into how bandwidth is allocated and enabling individual spacecraft teams to openly negotiate for scarce resources. This visibility leads to changes in how spacecraft teams apportion bandwidth, plan staffing, and organize and share resources. We reflect on the design study methodology as revealing, documenting, and supporting existing communication processes and software infrastructure within knowledge-intensive organizations.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":"14-29"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2024 IEEE Scientific Visualization Contest Winner: PlumeViz: Interactive Exploration for Multifacet Features of Hydrothermal Plumes in Sonar Images.","authors":"Yiming Shao, Chengming Liu, Zhiyuan Meng, Shufan Qian, Peng Jiang, Yunhai Wang, Qiong Zeng","doi":"10.1109/MCG.2025.3550365","DOIUrl":"10.1109/MCG.2025.3550365","url":null,"abstract":"<p><p>Plume visualization is essential for unveiling the dynamics of hydrothermal systems. This article introduces an interactive exploration tool, PlumeViz, designed to facilitate the extraction and visualization of multifaceted plume characteristics from data collected by a sonar device. The tool addresses the challenges posed by undersampled volume data and intricate plume structures by providing an interactive platform for plume identification, visual representation, and analysis. Key functionalities of PlumeViz encompass comprehensive plume evolution, plume feature extraction, and in-depth exploration of specific regions of interest. We demonstrate the efficacy of PlumeViz in visualizing hydrothermal plumes through a case study and a range of illustrative results.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":"69-77"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The UDV Card Deck: A Collaborative Design Framework to Facilitate Urban Visualization Conversations.","authors":"Damla Cay, Till Nagel, Sebastian Meier","doi":"10.1109/MCG.2025.3556573","DOIUrl":"10.1109/MCG.2025.3556573","url":null,"abstract":"<p><p>This article presents the urban data visualization (UDV) card deck, a tool designed to facilitate reflective discussions and inform the collaborative design process of urban data visualization. The UDV card deck was developed to bridge the gap between theoretical knowledge and practice in workshop settings, fostering inclusive and reflective approaches to visualization design. Drawing from urban visualization design literature and the results from a series of expert workshops, these cards summarize key considerations when designing urban data visualizations. The card deck guides different activities in an engaging, collaborative, and structured format, promoting inclusion of diverse urban actors. We introduce the card deck and its goals, demonstrate its use in four case studies, and discuss our findings. Feedback from workshop participants indicates that the urban data visualization card deck can serve as a supportive and reflective tool for urban data visualization researchers, designers, and practitioners.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":"30-44"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Melissa T Kronenberger, Hai-Ning Liang, Christos Mousas, Dominic Kao, Beatriz Sousa Santos, Alejandra J Magana, Rafael Bidarra
{"title":"Design Considerations for Virtual Self-Representation in Educational Games.","authors":"Melissa T Kronenberger, Hai-Ning Liang, Christos Mousas, Dominic Kao, Beatriz Sousa Santos, Alejandra J Magana, Rafael Bidarra","doi":"10.1109/MCG.2025.3553207","DOIUrl":"10.1109/MCG.2025.3553207","url":null,"abstract":"<p><p>Virtual self-representations, commonly known as avatars, play a critical and often underexplored role in the design and effectiveness of educational games. This article explores various dimensions of avatar design and their impact on educational game outcomes. We examine how an avatar's voice can influence player identification, how certain colors can distract from educational material, and how the presence of a digital role model of a similar ethnic background and gender can help drive interaction. In addition, this article addresses scenarios where avatar identification might be less desirable. Specifically, when players struggle, our data suggest that abstract avatars might be more beneficial than humanoid avatars. These insights can help lead to the design of more effective educational games.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 4","pages":"107-115"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CageModeler: An Open-Source Project for Cage-Based Deformation.","authors":"Daniel Stroter, Zhivko Bogdanov, Nicholas F Polys","doi":"10.1109/MCG.2025.3557926","DOIUrl":"10.1109/MCG.2025.3557926","url":null,"abstract":"<p><p>The interactive modeling of 3-D shapes is an important application of computer graphics. A versatile and interactive method for anisotropic shape deformation is cage-based deformation. We have released the CageModeler open-source project to provide the computer graphics community with a large collection of the most relevant methods for cage-based deformation. To facilitate practical use and future research, our project provides an extensible tool for interactive modeling. Our project is designed for collaborative open-source development, in order to enable researchers to implement their own methods building upon our project. In addition, our project includes evaluation functionality to investigate performance metrics, such as run time or local deformation influence. In this article, we present and review the design of our software in the light of open-source development. Important key aspects of our software design are automated dependence management, usage of available open-source libraries, and modular code design. To reflect on our design choices, we describe our lessons learned during the development process.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 4","pages":"126-133"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visual Data Analysis of Time-Based Transport Optimizations.","authors":"Dragos C Barbu, Torsten Moller, Mike Potel","doi":"10.1109/MCG.2025.3575543","DOIUrl":"10.1109/MCG.2025.3575543","url":null,"abstract":"<p><p>This article proposes a novel approach to address the need for visual analysis tools in the transportation domain. Transportation planners require a tool to understand the interplay between vehicles, personnel, transported goods, and routes dynamically over time. Existing tools focus on map visualizations and are limited to animations when depicting changes over time in large amounts of data. We propose a design built from three views: absolute, relative, and topological, each showing a different data facet. We show how transport planners' trust in optimization algorithms can be achieved and how the same tool can be used to develop the optimization algorithm further.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 4","pages":"99-106"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}