Visual Informatics最新文献_第10页

A learning-based approach for efficient visualization construction 基于学习的高效可视化构建方法

IF 3 3区计算机科学

Visual Informatics Pub Date : 2022-03-01 DOI: 10.1016/j.visinf.2022.01.001

Yongjian Sun , Jie Li , Siming Chen , Gennady Andrienko , Natalia Andrienko , Kang Zhang

引用次数: 4

Natural multimodal interaction in immersive flow visualization 沉浸式流可视化中的自然多模态交互

IF 3 3区计算机科学

Visual Informatics Pub Date : 2021-12-01 DOI: 10.1016/j.visinf.2021.12.005

Chengyu Su , Chao Yang , Yonghui Chen , Fupan Wang , Fang Wang , Yadong Wu , Xiaorong Zhang

{"title":"Natural multimodal interaction in immersive flow visualization","authors":"Chengyu Su , Chao Yang , Yonghui Chen , Fupan Wang , Fang Wang , Yadong Wu , Xiaorong Zhang","doi":"10.1016/j.visinf.2021.12.005","DOIUrl":"10.1016/j.visinf.2021.12.005","url":null,"abstract":"<div><p>In the immersive flow visualization based on virtual reality, how to meet the needs of complex professional flow visualization analysis by natural human–computer interaction is a pressing problem. In order to achieve the natural and efficient human–computer interaction, we analyze the interaction requirements of flow visualization and study the characteristics of four human–computer interaction channels: hand, head, eye and voice. We give out some multimodal interaction design suggestions and then propose three multimodal interaction methods: head & hand, head & hand & eye and head & hand & eye & voice. The freedom of gestures, the stability of the head, the convenience of eyes and the rapid retrieval of voices are used to improve the accuracy and efficiency of interaction. The interaction load is balanced by multimodal interaction to reduce fatigue. The evaluation shows that our multimodal interaction has higher accuracy, faster time efficiency and much lower fatigue than the traditional joystick interaction.</p></div>","PeriodicalId":36903,"journal":{"name":"Visual Informatics","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468502X21000632/pdfft?md5=28eaf01c7c9f0094b805091c154c6864&pid=1-s2.0-S2468502X21000632-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133259156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Visual storytelling of Song Ci and the poets in the social–cultural context of Song dynasty 宋词的视觉叙事与宋代社会文化语境中的诗人

IF 3 3区计算机科学

Visual Informatics Pub Date : 2021-12-01 DOI: 10.1016/j.visinf.2021.12.002

Wei Zhang , Qian Ma , Rusheng Pan , Wei Chen

{"title":"Visual storytelling of Song Ci and the poets in the social–cultural context of Song dynasty","authors":"Wei Zhang , Qian Ma , Rusheng Pan , Wei Chen","doi":"10.1016/j.visinf.2021.12.002","DOIUrl":"10.1016/j.visinf.2021.12.002","url":null,"abstract":"<div><p>Song Ci is treasured in traditional Chinese culture, which indicates social and cultural evolution in ancient times. Despite the efforts by historians and litterateurs in investigating the characteristics of Song Ci, it is still unclear how to effectively distribute and promote Song Ci in the public sphere. The complexity and abstraction of Song Ci hamper the general public from closely reading, analyzing, and appreciating these excellent works. By means of a set of visual analysis methods, e.g. the spatio-temporal visualization, we exploit visual storytelling to explicitly present the latent and abstractive features of Song Ci. We apply straightway visual charts and lighten the burden of understanding the stories, in order to achieve an effective public distribution. The effectiveness and aesthetics of our work are demonstrated by a user study of three participants with different backgrounds. The result reveals that our story is effective in the distribution, understanding, and promotion of Song Ci.</p></div>","PeriodicalId":36903,"journal":{"name":"Visual Informatics","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468502X21000607/pdfft?md5=7de35aa21498ec269f63ff4c547c971e&pid=1-s2.0-S2468502X21000607-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121839735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Adaptive neighbor constrained deviation sparse variant fuzzy c-means clustering for brain MRI of AD subject AD受试者脑MRI自适应邻域约束偏差稀疏变模糊c均值聚类

IF 3 3区计算机科学

Visual Informatics Pub Date : 2021-12-01 DOI: 10.1016/j.visinf.2021.12.001

Sukanta Ghosh, Amlan Pratim Hazarika, Abhijit Chandra, Rajani K. Mudi

{"title":"Adaptive neighbor constrained deviation sparse variant fuzzy c-means clustering for brain MRI of AD subject","authors":"Sukanta Ghosh, Amlan Pratim Hazarika, Abhijit Chandra, Rajani K. Mudi","doi":"10.1016/j.visinf.2021.12.001","DOIUrl":"10.1016/j.visinf.2021.12.001","url":null,"abstract":"<div><p>Progression of Alzheimer’s disease (AD) bears close proximity with the tissue loss in the medial temporal lobe (MTL) and enlargement of lateral ventricle (LV). The early stage of AD, mild cognitive impairment (MCI), can be traced by diagnosing brain MRI scans with advanced fuzzy c-means clustering algorithm that helps to take an appropriate intervention. In this paper, firstly the sparsity is initiated in clustering method that too rician noise is also incorporated for brain MR scans of AD subject. Secondly, a novel neighbor pixel constrained fuzzy c-means clustering algorithm is designed where topoloty-based selection of parsimonious neighbor pixels is automated. The adaptability in choice of neighbor pixel class outliers more justified object edge boundary which outperforms a dynamic cluster output. The proposed adaptive neighbor constrained deviation sparse variant fuzzy c-means clustering (AN_DsFCM) can withhold imposed sparsity and withstands rician noise at imposed sparse environment. This novel algorithm is applied for MRI of AD subjects and normative data is acquired to analyse clustering accuracy. The data processing pipeline of theoretically plausible proposition is elaborated in detail. The experimental results are compared with state-of-the-art fuzzy clustering methods for test MRI scans. Visual evaluation and statistical measures are studied to meet both image processing and clinical neurophysiology standards. Overall the performance of proposed AN_DsFCM is significantly better than other methods.</p></div>","PeriodicalId":36903,"journal":{"name":"Visual Informatics","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468502X21000589/pdfft?md5=129443dd9a0b4930d3d376ba5efb1317&pid=1-s2.0-S2468502X21000589-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128584891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Visualization and visual analysis of vessel trajectory data: A survey 船舶轨迹数据的可视化与可视化分析综述

IF 3 3区计算机科学

Visual Informatics Pub Date : 2021-12-01 DOI: 10.1016/j.visinf.2021.10.002

Haiyan Liu , Xiaohui Chen , Yidi Wang , Bing Zhang , Yunpeng Chen , Ying Zhao , Fangfang Zhou

{"title":"Visualization and visual analysis of vessel trajectory data: A survey","authors":"Haiyan Liu , Xiaohui Chen , Yidi Wang , Bing Zhang , Yunpeng Chen , Ying Zhao , Fangfang Zhou","doi":"10.1016/j.visinf.2021.10.002","DOIUrl":"10.1016/j.visinf.2021.10.002","url":null,"abstract":"<div><p>Maritime transports play a critical role in international trade and commerce. Massive vessels sailing around the world continuously generate vessel trajectory data that contain rich spatial–temporal patterns of vessel navigations. Analyzing and understanding these patterns are valuable for maritime traffic surveillance and management. As essential techniques in complex data analysis and understanding, visualization and visual analysis have been widely used in vessel trajectory data analysis. This paper presents a literature review on the visualization and visual analysis of vessel trajectory data. First, we introduce commonly used vessel trajectory data sets and summarize main operations in vessel trajectory data preprocessing. Then, we provide a taxonomy of visualization and visual analysis of vessel trajectory data based on existing approaches and introduce representative works in details. Finally, we expound on the prospects of the remaining challenges and directions for future research.</p></div>","PeriodicalId":36903,"journal":{"name":"Visual Informatics","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468502X21000401/pdfft?md5=c0cbcf1e197c069abdaada9d25a133d0&pid=1-s2.0-S2468502X21000401-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127063228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Asyncflow: A visual programming tool for game artificial intelligence Asyncflow:游戏人工智能的可视化编程工具

IF 3 3区计算机科学

Visual Informatics Pub Date : 2021-12-01 DOI: 10.1016/j.visinf.2021.11.001

Zhipeng Hu , Changjie Fan , Qiwei Zheng , Wei Wu , Bai Liu

引用次数: 1

Evaluating user cognition of network diagrams 评价用户对网络图的认知

IF 3 3区计算机科学

Visual Informatics Pub Date : 2021-12-01 DOI: 10.1016/j.visinf.2021.12.004

Xiaojiao Chen , Xiaoteng Tang , Zijing Luo , Jiayi Zhang

{"title":"Evaluating user cognition of network diagrams","authors":"Xiaojiao Chen , Xiaoteng Tang , Zijing Luo , Jiayi Zhang","doi":"10.1016/j.visinf.2021.12.004","DOIUrl":"10.1016/j.visinf.2021.12.004","url":null,"abstract":"<div><p>Edges crossing and nodes overlapping have a significant effect on the users’ recognition and comprehension of network diagrams. In this study, we propose a visual evaluation method for users’ cognition of network diagrams. First, this method carries out a set of cognitive experiments to collect the user’s cognitive performance that affects the variables, including accuracy and response time. The user’s pupil diameter is measured through an eye tracker to reflect their cognitive load. Second, the significance test points out the visual features as independent variables and then establishes an evaluation regression model. The experimental results show that the number of edges, edge length, node visual interference, and edge occlusion contribute to the evaluation models of response time, and edge occlusion and the number of node connections contribute to the accuracy model. Finally, these evaluation models demonstrate good predictability when assessing users’ cognition of network diagrams and provide practical recommendations for their use.</p></div>","PeriodicalId":36903,"journal":{"name":"Visual Informatics","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468502X21000620/pdfft?md5=cb42e16ec678484dc019ff590291645b&pid=1-s2.0-S2468502X21000620-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132205860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

G6: A web-based library for graph visualization G6:基于web的图形可视化库

IF 3 3区计算机科学

Visual Informatics Pub Date : 2021-12-01 DOI: 10.1016/j.visinf.2021.12.003

Yanyan Wang , Zhanning Bai , Zhifeng Lin , Xiaoqing Dong , Yingchaojie Feng , Jiacheng Pan , Wei Chen

{"title":"G6: A web-based library for graph visualization","authors":"Yanyan Wang , Zhanning Bai , Zhifeng Lin , Xiaoqing Dong , Yingchaojie Feng , Jiacheng Pan , Wei Chen","doi":"10.1016/j.visinf.2021.12.003","DOIUrl":"10.1016/j.visinf.2021.12.003","url":null,"abstract":"<div><p>Authoring graph visualization poses great challenges to developers due to its high requirements on both domain knowledge and development skills. Although existing libraries and tools reduce the difficulty of generating graph visualization, there are still many challenges. We work closely with developers and formulate several design goals, then design and implement G6, a web-based library for graph visualization. It combines template-based configuration for high usability and flexible customization for high expressiveness. To enhance development efficiency, G6 proposes a range of optimizations, including state management and interaction modes. We demonstrate its capabilities through an extensive gallery, a quantitative performance evaluation, and an expert interview. G6 was first released in 2017 and has been iterated for 317 versions. It has served as a web-based library for thousands of applications and received 8312 stars on GitHub.</p></div>","PeriodicalId":36903,"journal":{"name":"Visual Informatics","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468502X21000619/pdfft?md5=a1d76898fda1924291672cf6aef0191a&pid=1-s2.0-S2468502X21000619-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128521952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Image Captioning with multi-level similarity-guided semantic matching 基于多级相似度引导语义匹配的图像字幕

IF 3 3区计算机科学

Visual Informatics Pub Date : 2021-12-01 DOI: 10.1016/j.visinf.2021.11.003

Jiesi Li , Ning Xu , Weizhi Nie , Shenyuan Zhang

{"title":"Image Captioning with multi-level similarity-guided semantic matching","authors":"Jiesi Li , Ning Xu , Weizhi Nie , Shenyuan Zhang","doi":"10.1016/j.visinf.2021.11.003","DOIUrl":"10.1016/j.visinf.2021.11.003","url":null,"abstract":"<div><p>Image Captioning is a cross-modal task that needs to automatically generate coherent natural sentences to describe the image contents. Due to the large gap between vision and language modalities, most of the existing methods have the problem of inaccurate semantic matching between images and generated captions. To solve the problem, this paper proposes a novel multi-level similarity-guided semantic matching method for image captioning, which can fuse local and global semantic similarities to learn the latent semantic correlation between images and generated captions. Specifically, we extract the semantic units containing fine-grained semantic information of images and generated captions, respectively. Based on the comparison of the semantic units, we design a local semantic similarity evaluation mechanism. Meanwhile, we employ the CIDEr score to characterize the global semantic similarity. The local and global two-level similarities are finally fused using the reinforcement learning theory, to guide the model optimization to obtain better semantic matching. The quantitative and qualitative experiments on large-scale MSCOCO dataset illustrate the superiority of the proposed method, which can achieve fine-grained semantic matching of images and generated captions.</p></div>","PeriodicalId":36903,"journal":{"name":"Visual Informatics","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468502X21000590/pdfft?md5=f944bc3d86f6d64595ece2bbaa4a94c8&pid=1-s2.0-S2468502X21000590-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124498801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Contrastive learning for a single historical painting’s blind super-resolution 单幅历史画盲目超分辨的对比学习

IF 3 3区计算机科学

Visual Informatics Pub Date : 2021-12-01 DOI: 10.1016/j.visinf.2021.11.002

Hongzhen Shi, Dan Xu, Kangjian He, Hao Zhang, Yingying Yue

{"title":"Contrastive learning for a single historical painting’s blind super-resolution","authors":"Hongzhen Shi, Dan Xu, Kangjian He, Hao Zhang, Yingying Yue","doi":"10.1016/j.visinf.2021.11.002","DOIUrl":"10.1016/j.visinf.2021.11.002","url":null,"abstract":"<div><p>Most of the existing blind super-resolution(SR) methods explicitly estimate the kernel in pixel space, which usually has a large deviation and results in poor SR performance. As a seminal work, DASR learns abstract representations to distinguish various degradations in the feature space, which effectively reduces degradation estimation bias. Therefore, we also employ the feature space to extract degradation representations for an ancient painting. However, most of the blind SR mehods, including DASR, are committed to removing degradations introduced by kernels, downsampling and additive noise. Among them, downsampling degradation is often accompanied by unpleasant artifacts. To address this issue, the paper designs a high-resolution(HR) representation encoder <span><math><msub><mrow><mi>E</mi></mrow><mrow><mi>H</mi><mi>R</mi></mrow></msub></math></span> based on contrastive learning to distinguish artifacts introduced by downsampling. Moreover, to optimize the ill-posed nature of blind SR, we propose a contrastive regularization<span><math><mrow><mo>(</mo><mi>C</mi><mi>R</mi><mo>)</mo></mrow></math></span> to minimize the contrastive loss based on VGG-19. With the help of <span><math><mrow><mi>C</mi><mi>R</mi></mrow></math></span>, the SR images are pulled closer to the HR images and pushed far away from bicubic LR observations. Benefiting from these improvements, our method consistently achieves higher quantitative performance and better visual quality with more natural textures than state-of-the-art approaches on a specialized painting dataset.</p></div>","PeriodicalId":36903,"journal":{"name":"Visual Informatics","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468502X21000504/pdfft?md5=251aa45f07cdb0c2ad16c7a5a2ac5156&pid=1-s2.0-S2468502X21000504-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123651993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1