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Texture Browser: Feature-based Texture Exploration

COMPUTER GRAPHICS FORUM 2021年第3期40卷 99-109页

作者： Luo, Xuejiao Scandolo, Leonardo Eisemann, Elmar Delft Univ Technol Delft Netherlands

Texture is a key characteristic in the definition of the physical appearance of an object and a crucial element in the creation process of 3D artists. However, retrieving a texture that matches an intended look from an image collection is difficult. Contrary to most photo collections, for which object recognition has proven quite useful, syntactic descriptions of texture characteristics is not straightforward, and even creating appropriate metadata is a very difficult task. In this paper, we propose a system to help explore large unlabeled collections of texture images. The key insight is that spatially grouping textures sharing similar features can simplify navigation. Our system uses a pre-trained convolutional neural network to extract high-level semantic image features, which are then mapped to a 2-dimensional location using an adaptation of t-SNE, a dimensionality-reduction technique. We describe an interface to visualize and explore the resulting distribution and provide a series of enhanced navigation tools, our prioritized t-SNE, scalable clustering, and multi-resolution embedding, to further facilitate exploration and retrieval tasks. Finally, we also present the results of a user evaluation that demonstrates the effectiveness of our solution.

关键词： CCS Concepts • Human-centerd computing → visualization visualization systems and tools visualization toolkits

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The State of the Art in Multilayer Network visualization

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COMPUTER GRAPHICS FORUM 2019年第6期38卷 125-149页

作者： McGee, F. Ghoniem, M. Melancon, G. Otjacques, B. Pinaud, B. LIST Luxembourg Luxembourg Univ Bordeaux CNRS UMR 5800 LaBRI Bordeaux France

Modelling relationship between entities in real-world systems with a simple graph is a standard approach. However, reality is better embraced as several interdependent subsystems (or layers). Recently, the concept of a multilayer network model has emerged from the field of complex systems. This model can be applied to a wide range of real-world data sets. Examples of multilayer networks can be found in the domains of life sciences, sociology, digital humanities and more. Within the domain of graph visualization, there are many systems which visualize data sets having many characteristics of multilayer graphs. This report provides a state of the art and a structured analysis of contemporary multilayer network visualization, not only for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those developing systems across application domains. We have explored the visualization literature to survey visualization techniques suitable for multilayer graph visualization, as well as tools, tasks and analytic techniques from within application domains. This report also identifies the outstanding challenges for multilayer graph visualization and suggests future research directions for addressing them.

关键词： multilayer networks network visualization literature survey center dot Human-centered computing -> Graph drawings Information visualization visualization systems and tools

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Infomages: Embedding Data into Thematic Images

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COMPUTER GRAPHICS FORUM 2020年第3期39卷 593-606页

作者： Coelho, D. Mueller, K. SUNY Stony Brook Dept Comp Sci Stony Brook NY 11794 USA

Recent studies have indicated that visually embellished charts such as infographics have the ability to engage viewers and positively affect memorability. Fueled by these findings, researchers have proposed a variety of infographic design tools. However, these tools do not cover the entire design space. In this work, we identify a subset of infographics that we call infomages. Infomages are casual visuals of data in which a data chart is embedded into a thematic image such that the content of the image reflects the subject and the designer's interpretation of the data. Creating an effective infomage, however, can require a fair amount of design expertise and is thus out of reach for most people. In order to also afford non-artists with the means to design convincing infomages, we first study the principled design of existing infomages and identify a set of key chart embedding techniques. Informed by these findings we build a design tool that links web-scale image search with a set of interactive image processing tools to empower novice users with the ability to design a wide variety of infomages. As the embedding process might introduce some amount of visual distortion of the data our tool also aids users to gauge the amount of this distortion, if any. We experimentally demonstrate the usability of our tool and conclude with a discussion of infomages and our design tool.

关键词： CCS Concepts • Human-centered computing → Information visualization visualization systems and tools • Applied computing → Media arts • Computing methodologies → Image manipulation

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AutoClips: An Automatic Approach to Video Generation from Data Facts

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COMPUTER GRAPHICS FORUM 2021年第3期40卷 495-505页

作者： Shi, D. Sun, F. Xu, X. Lan, X. Gotz, D. Cao, N. Tongji Univ Shanghai Peoples R China Univ N Carolina Chapel Hill NC 27515 USA

Data videos, a storytelling genre that visualizes data facts with motion graphics, are gaining increasing popularity among data journalists, non-profits, and marketers to communicate data to broad audiences. However, crafting a data video is often time-consuming and asks for various domain knowledge such as data visualization, animation design, and screenwriting. Existing authoring tools usually enable users to edit and compose a set of templates manually, which still cost a lot of human effort. To further lower the barrier of creating data videos, this work introduces a new approach, AutoClips, which can automatically generate data videos given the input of a sequence of data facts. We built AutoClips through two stages. First, we constructed a fact-driven clip library where we mapped ten data facts to potential animated visualizations respectively by analyzing 230 online data videos and conducting interviews. Next, we constructed an algorithm that generates data videos from data facts through three steps: selecting and identifying the optimal clip for each of the data facts, arranging the clips into a coherent video, and optimizing the duration of the video. The results from two user studies indicated that the data videos generated by AutoClips are comprehensible, engaging, and have comparable quality with human-made videos.

关键词： CCS Concepts • Human-centered computing → Information visualization visualization toolkits visualization systems and tools

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DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos

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COMPUTER GRAPHICS FORUM 2022年第3期41卷 429-440页

作者： Chen, S. Li, S. Li, Y. Zhu, J. Long, J. Chen, S. Zhang, J. Yuan, X. Peking Univ Sch AI Key Lab Machine Percept Minstry Educ Beijing Peoples R China Peking Univ Natl Engn Lab Big Data Anal & Applicat Beijing Peoples R China Peking Univ Beijing Engn Technol Res Ctr Virtual Simulat & Vi Beijing Peoples R China Jiangnan Univ Sch Design Wuxi Jiangsu Peoples R China Fudan Univ Sch Data Sci Shanghai Peoples R China Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China

Danmu (Danmaku) is a unique social media service in online videos, especially popular in Japan and China, for viewers to write comments while watching videos. The danmu comments are overlaid on the video screen and synchronized to the associated video time, indicating viewers' thoughts of the video clip. This paper introduces an interactive visualization system to analyze danmu comments and associated viewer behaviors in a collection of videos and enable detailed exploration of one video on demand. The watching behaviors of viewers are identified by comparing video time and post time of viewers' danmu. The system supports analyzing danmu content and viewers' behaviors against both video time and post time to gain insights into viewers' online participation and perceived experience. Our evaluations, including usage scenarios and user interviews, demonstrate the effectiveness and usability of our system.

关键词： CCS Concepts • Human-centered computing → Visual analytics visualization systems and tools

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Orchard: Exploring Multivariate Heterogeneous Networks

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COMPUTER GRAPHICS FORUM 2020年第3期39卷 115-126页

作者： Eichmann, P. Edge, D. Evans, N. Lee, B. Brehmer, M. White, C. Brown Univ Providence RI 02912 USA Microsoft Res Cambridge England Microsoft Res Redmond WA USA Tableau Res Seattle WA USA

People are becoming increasingly sophisticated in their ability to navigate information spaces using search, hyperlinks, and visualization. But, mobile phones preclude the use of multiple coordinated views that have proven effective in the desktop environment (e.g., for business intelligence or visual analytics). In this work, we propose to model information as multivariate heterogeneous networks to enable greater analytic expression for a range of sensemaking tasks while suggesting a new, list-based paradigm with gestural navigation of structured information spaces on mobile phones. We also present a mobile application, called Orchard, which combines ideas from both faceted search and interactive network exploration in a visual query language to allow users to collect facets of interest during exploratory navigation. Our study showed that users could collect and combine these facets with Orchard, specifying network queries and projections that would only have been possible previously using complex data tools or custom data science.

关键词： CCS Concepts • Human-centered computing → Information visualization visualization systems and tools User interface design • Information systems → Search interfaces

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Leveraging Analysis History for Improved In Situ visualization Recommendation

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COMPUTER GRAPHICS FORUM 2022年第3期41卷 145-155页

作者： EPPerson, Will Lee, Doris Jung-Lin Wang, Leijie Agarwal, Kunal Parameswaran, Aditya G. Moritz, Dominik Perer, Adam Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Calif Berkeley Berkeley CA USA Tsinghua Univ Beijing Peoples R China

Existing visualization recommendation systems commonly rely on a single snapshot of a dataset to suggest visualizations to users. However, exploratory data analysis involves a series of related interactions with a dataset over time rather than one-off analytical steps. We present Solas, a tool that tracks the history of a user's data analysis, models their interest in each column, and uses this information to provide visualization recommendations, all within the user's native analytical environment. Recommending with analysis history improves visualizations in three primary ways: task-specific visualizations use the provenance of data to provide sensible encodings for common analysis functions, aggregated history is used to rank visualizations by our model of a user's interest in each column, and column data types are inferred based on applied operations. We present a usage scenario and a user evaluation demonstrating how leveraging analysis history improves in situ visualization recommendations on real-world analysis tasks.

关键词： CCS Concepts • Human-centered computing → visualization visualization systems and tools

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A Visual Analytics Approach to Facilitate Crime Hotspot Analysis

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COMPUTER GRAPHICS FORUM 2020年第3期39卷 139-151页

作者： de Queiroz Neto, Jose F. Santos, Emanuele Vidal, Creto Augusto Ebert, David S. Univ Fed Ceara Fortaleza Ceara Brazil Purdue Univ W Lafayette IN 47907 USA

Computer-based technology has played a significant role in crime prevention over the past 30 years, especially with the popularization of spatial databases and crime mapping systems. Police departments frequently use hotspot analysis to identify regions that should be a priority in receiving preventive resources. Practitioners and researchers agree that tracking crime over time and identifying its geographic patterns are vital information for planning efficiently. Frequently, police departments have access to systems that are too complicated and excessively technical, leading to modest usage. By working closely together with domain experts from police agencies of two different countries, we identified and characterized five domain tasks inherent to the hotspot analysis problem and developed SHOC, a visualization tool that strives for simplicity and ease of use in helping users to perform all the domain tasks. SHOC is included in a visual analytics system that allows users without technical expertise to annotate, save, and share analyses. We also demonstrate that our system effectively supports the completion of the domain tasks in two different real-world case studies.

关键词： CCS Concepts • Human-centered computing → Visual analytics visualization systems and tools

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Visual Analysis of protein-ligand interactions

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COMPUTER GRAPHICS FORUM 2018年第3期37卷 391-402页

作者： Vazquez, P. Hermosilla, P. Guallar, V. Estrada, J. Vinacua, A. Univ Politecn Cataluna ViRVIG Grp Barcelona Spain Univ Ulm Visual Comp Grp Ulm Germany Barcelona SuperComp Ctr Barcelona Spain ICREA Barcelona Spain

The analysis of protein-ligand interactions is complex because of the many factors at play. Most current methods for visual analysis provide this information in the form of simple 2D plots, which, besides being quite space hungry, often encode a low number of different properties. In this paper we present a system for compact 2D visualization of molecular simulations. It purposely omits most spatial information and presents physical information associated to single molecular components and their pairwise interactions through a set of 2D InfoVis tools with coordinated views, suitable interaction, and focus+context techniques to analyze large amounts of data. The system provides a wide range of motifs for elements such as protein secondary structures or hydrogen bond networks, and a set of tools for their interactive inspection, both for a single simulation and for comparing two different simulations. As a result, the analysis of protein-ligand interactions of Molecular Simulation trajectories is greatly facilitated.

关键词： CCS Concepts •Human-centered computing → visualization techniques visualization systems and tools

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Canis: A High-Level Language for Data-Driven Chart Animations

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COMPUTER GRAPHICS FORUM 2020年第3期39卷 607-617页

作者： Ge, T. Zhao, Y. Lee, B. Ren, D. Chen, B. Wang, Y. Shandong Univ Qingdao Peoples R China Microsoft Res Redmond WA USA Univ Calif Santa Barbara Santa Barbara CA 93106 USA Peking Univ Beijing Peoples R China

In this paper, we introduce Canis, a high-level domain-specific language that enables declarative specifications of data-driven chart animations. By leveraging data-enriched SVG charts, its grammar of animations can be applied to the charts created by existing chart construction tools. With Canis, designers can select marks from the charts, partition the selected marks into mark units based on data attributes, and apply animation effects to the mark units, with the control of when the effects start. The Canis compiler automatically synthesizes the Lottie animation JSON files [Aira], which can be rendered natively across multiple platforms. To demonstrate Canis' expressiveness, we present a wide range of chart animations. We also evaluate its scalability by showing the effectiveness of our compiler in reducing the output specification size and comparing its performance on different platforms against D3.

关键词： CCS Concepts • Human-centered computing → visualization toolkits Information visualization visualization systems and tools

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