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IEEE conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Roman Pflugfelder Jonas Auer Center of Digital Safety & Security Giefinggasse 4 AIT Austrian Institute of Technology Vienna Austria TU Wien Inst. of Visual Comp. & Human-Centered Technology Favoritenstr. 9/193-1 Vienna Austria

ISBN: (纸本)9781665433976

Occlusion is a fundamental challenge in object recognition. Fragmented occlusion is much more challenging than ordinary partial occlusion and occurs in natural environments such as forests. Less is known in computer vision about fragmented occlusion and object recognition. Interestingly, human vision has far more explored this problem as the human visual system evolved to fragmented occlusion at the times when mankind occupied rainforest. A motivating example of fragmented occlusion is object detection through foliage which is an essential requirement in green border surveillance. Instead of detection, this paper studies the simpler problem of localisation with persons. A neural network based method shows a precision larger than 90% on new image sequences capturing the problem. This is possible by two observations: (i) fragmented occlusion is unsolvable in single images without temporal information, and (ii) colour quantisation and colour swapping is essential to force the training of the network to learn from the available temporal information in the spatiotemporal data.

关键词： Training visualization Image color analysis Surveillance Vegetation mapping Detectors visual systems

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RescueMark: visual Analytics of Social Media data for Guiding Emergency Response in Disaster Situations Award for Skillful Integration of Language Model 14

RescueMark: Visual Analytics of Social Media Data for Guidin...

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14th IEEE conference on visual Analytics Science and Technology (IEEE VAST)

作者： Jeitler, Astrik Tuerkoglu, Alpin Makarov, Denis Jockers, Timo Buchmueller, Juri Schlegel, Udo Keim, Daniel A. Univ Konstanz Constance Germany

ISBN: (纸本)9781728122847

This paper presents RescueMark, a web-based visual analytics tool for analyzing disaster situations and guiding emergency response. In disaster situations operators must take quick and effective decisions to solve critical problems. RescueMark provides spatial, topic and temporal event exploration supporting decision making for resource allocation and determine damaged areas of the city. We describe the data analysis and visualization process of the social media data applied to extract the relevant information.

关键词： Human-centered computing visualization visualization application domains visual analytics

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visual analysis of Bird Moving Patterns 1

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36th Computer Graphics International conference (CGI)

作者： Matkovic, Kresimir Gracanin, Denis Beham, Michael Splechtna, Rainer Meyer, Miriah Ginina, Elena VRVis Res Ctr Vienna Austria Virginia Tech Blacksburg VA USA Univ Utah Salt Lake City UT USA

ISBN: (数字)9783030225148

ISBN: (纸本)9783030225148;9783030225131

In spite of recent advances in data analysis techniques, exploration of complex, unstructured spatial-temporal data could still be difficult. An interactive approach, with human in the analysis loop, represents a valuable add on to automatic analysis methods. We describe an interactive visual analysis method to exploration of complex spatio-temporal data sets. The proposed approach is illustrated using a publicly available data set, a collection of bird locations recorded over an extended period of time. In order to explore and comprehend complex patterns in bird movements over time, we provide two new views, the centroids scatter plot view and the distance plot view. Successful analysis of the birds data indicates the usefulness of the newly proposed approach for other spatio-temporal data of a similar structure.

关键词： visual analytics Spatio-temporal data Patterns in movement data

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Vaite: a visualization-Assisted Interactive Big Urban Trajectory data exploration System 35

Vaite: a Visualization-Assisted Interactive Big Urban Trajec...

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IEEE 35th International conference on data Engineering (ICDE)

作者： Yang, Chuang Zhang, Yilan Tang, Bo Zhu, Min Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen Peoples R China Peng Cheng Lab PCL Res Ctr Networks & Commun Shenzhen Peoples R China Sichuan Univ Coll Comp Sci Chengdu Sichuan Peoples R China

ISBN: (纸本)9781538674741

Big urban trajectory exploration extracts insights from trajectories. It has many smart-city applications, e.g., traffic jam detection, taxi movement pattern analysis. The challenges of big urban trajectory data exploration are: (i) the data analysts probably do not have experience or knowledge on issuing their analysis tasks by SQL-like queries or analysis operations accurately;and (ii) big urban trajectory data is naturally complex, e.g., unpredictability, interrelation, etc. In this work, we architect and implement a visualization-assisted big urban trajectory data exploration system (Vaite) to address these chanllenges. Vaite includes three layers, from data collection to results visualization. We devise novel visualization views in Vaite to support interactive big urban trajectory exploratory analysis. We demonstrate the effectiveness of Vaite by the real world applications.

关键词： trajectory data exploration data visualization

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A Study on EEG-NIRS Testing of Drug Users' Brain Function under visual Induction 2020

A Study on EEG-NIRS Testing of Drug Users' Brain Function un...

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Proceedings of the 2020 9th International conference on Computing and Pattern Recognition

作者： Banghua Yang Xuelin Gu Ding Xu Chengcheng Fan School of Mechanical and Electrical Engineering and Automation Shanghai University Shanghai China Shanghai Drug Rehabilitation Administration Bureau Shanghai China

ISBN: (纸本)9781450387835

Long-term drug abuse may change the brain function. In this paper, a new experimental paradigm combining EEG and NIRSIT is designed to explore target stimulus pictures-induced changes in electroencephalograms, as well as the changes in blood oxygen under near-infrared spectroscopy in drug users. The experiment divides into three stages. The first stage denotes the resting state. The task in the second stage includes induction by target stimulation pictures and neutral pictures. And in the third stage, the resting state pictures are all neutral pictures. The electroencephalograms and near-infrared data were collected in the three stages. Then an analysis was made of the ERP potential P300 of the electroencephalograms, the changes in hemoglobin concentration under near-infrared spectroscopy, and the channel time series. An analysis was made of the EEG and NIRSIT data on 120 people who were tested in a rehabilitation center according to the paradigm designed for the experiment. An analysis of the electroencephalograms in the second stage of the experiment shows that target stimulus pictures evoked more obvious P300 volatility in electroencephalograms than neutral pictures. Meanwhile, an analysis of the NIRSIT data shows that the concentration of oxyhemoglobin increased and the concentration of deoxyhemoglobin decreased. exploration of drug rehabilitation studies, laying a foundation for further predicting pathological changes in the human brain, as well as targeted rehabilitation.

关键词： analysis of brain function of drug addicts Drug addiction drug detoxification EEG and NIRSIT

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Parameterization of fault seal analysis as input to in-place volume assessment

Parameterization of fault seal analysis as input to in-place...

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SPE Nigeria Annual International conference and Exhibition 2020, NAIC 2020

作者： Adenaiye, Olaniyi Shell Petroleum Development Company of Nigeria Limited

ISBN: (纸本)9781613997857

This paper presents an integrated approach for addressing uncertainty in hydrocarbon column based on faultseal analysis and column-height prediction for a target reservoir 'F' in a field in the Niger Delta area. The target field is in the shallow offshore of the Nigerian delta, about 20km south of the present-daycoastline. The field was discovered in the sixties by an exploration well;Further appraisal wells confirmedhydrocarbon in a footwall block, but with uncertainty in fluid contact. 'F' reservoir is a highly faulted collapsed crest structure sandwiched between regional and counterregional faults. Numerous antithetic and synthetic faults dissect the reservoir to form several *** data covering the area was shot in the late nineties and is deemed to be of relatively low qualityleading to suboptimal imaging of the faults. To address structural framework uncertainty, two structural model realizations were built for 'F' reservoir,focusing on the trapping mechanism, namely, a fault assisted 3-way dip closure (i.e. closure is bound by amajor antithetic fault). This trapping mechanism has major impact on the hydrocarbon column height thatcan be held by the fault. The column heights for the model realization was estimated from two different fault seal analysismethods: - i.) Bretan et al., 2003;and ii.) Yielding et al., 2010. The results viz., column heights from eachof the two methods for the structural model realization were presented as one of the input parameters for thevolumetric uncertainty assessment carried out to determine an optimal development plan for the reservoir. © 2020 Society of Petroleum Engineers - SPE Nigeria Annual International conference and Exhibition 2020, NAIC *** right reserved.

关键词： Uncertainty analysis

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visual Annotations for Hybrid Graph-based User Model 19

Visual Annotations for Hybrid Graph-based User Model

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27th ACM conference on User Modeling, Adaptation and Personalization (ACM UMAP)

作者： Guchev, Vladimir Cena, Federica Vernero, Fabiana Gena, Cristina Univ Turin Dept Comp Sci Turin Italy

ISBN: (纸本)9781450360210

Structured user model data not only allow system personalization, but also may be of interest as a source for analysis: in particular, for the study of general trends and for the detection of anomalies in preferences and mutually-referenced features among different user models. Such sources are multidimensional and interrelated, and recently started to be represented as graph-based datasets. Among the most effective ways of studying such data is visual exploration based on data-driven graph drawing approaches: in particular, node-link and node-link-group diagrams. The paper provides an overview of advanced approaches to the graphical representation of multidimensional data derived from user modeling and presents a proposal for developing flexible and scalable user interfaces for the hypergraph-based visual exploration of relations within a user model (UM). Then, we propose these principles in the visualization of an existing adaptive system.

关键词： user model visualization graph and hypergraph drawing

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A Twitter Social Network analysis: The South African Health Insurance Bill Case 19th

A Twitter Social Network Analysis: The South African Health ...

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19th IFIP WG 6.11 conference on e-Business, e-Services, and e-Society, I3E 2020

作者： Struweg, Ilse Department of Marketing Management School of Consumer Intelligence and Information Systems University of Johannesburg Johannesburg South Africa

ISBN: (纸本)9783030450014

The process of extricating relationships and interchanges via visual mapping refers to Social Network analysis (SNA). Through social network and graph theory lenses, this study explore Twitter data shortly after the announcement of the National Health Insurance (NHI) Bill to the South African parliament. An instrumental, single case study design and SNA secured contextual and timely Twitter interchanges of 4 112 tweets of the hashtag "NHI". Given the growing call for the comprehension of social media network interactions in different contexts, this paper use the underutilized tool for social media analytics, ‘Network Overview, Discovery and exploration for Excel Pro’ (NodeXL Pro) to extract and visually present knowledge from pairwise relations between actors in the #NHI social media network. The findings explain the data dispersion and network structure of the #NHI case. The results clearly identifies the influencers – mostly the South African government, specific Twitter users and gatekeepers in the announcement of a highly controversial healthcare bill that will affect all South African citizens. The paper contributes theoretically by adding graph theory to the social media research field and to a less studied social media research cluster, namely social media during critical events. The practical contribution of the study is the use of NodeXL Pro, a unique SNA tool for advanced social media crawling, SNA and advanced network metric analysis. © 2020, IFIP International Federation for Information Processing.

关键词： Health insurance

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基于CiteSpace的近十年国内人工智能融入体育发展研究的可视化分析

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体育科技文献通报 2024年第9期32卷 283-287页

作者：钟星学严亨豪邹林宏乔虹刘焰袁晓辉四川农业大学体育学院四川雅安625014

目的:探索近十年人工智能与体育发展的融合情况,明确其研究热点并预测未来趋势,为未来的研究工作提供理论框架和方向性指引,以推动人工智能在体育行业中的应用和发展。方法:依托中国知网(CNKI)数据库,对2014—2024年的相关学术文献进行... 详细信息

目的:探索近十年人工智能与体育发展的融合情况,明确其研究热点并预测未来趋势,为未来的研究工作提供理论框架和方向性指引,以推动人工智能在体育行业中的应用和发展。方法:依托中国知网(CNKI)数据库,对2014—2024年的相关学术文献进行搜集,结合CiteSpace 6.3.R1和Excel等文献计量分析工具,从发文趋势、研究者与机构分布、关键词的共现、主题聚类、时区分布及关键词突现情况等多个维度进行可视化研究分析。结果表明:(1)发文量呈现稳步增长的趋势,历经初期探索、波动增长、深化成熟3个阶段。(2)当前研究热点主要围绕竞技体育、元宇宙、大数据、5G时代、体育管理等开展相关研究。(3)该领域研究者合作不足尚未形成稳固核心作者群体,研究机构集中于我国东中部,呈集中与多样化特点,并逐步扩展至全国,高等院校及体育类学院为主力,机构间存在合作与协同创新不足。(4)该领域核心聚焦于技术应用、管理与产业、竞技与经济三大板块。(5)学界对该领域研究正从技术探索转向应用实践和管理策略的深入研究,呈现阶段性发展。展望:未来研究应紧密跟踪技术前沿,探索人工智能与体育的无限可能,推动体育领域的智能化、个性化与高效化发展。

关键词：人工智能体育发展 CiteSpace 可视化分析研究热点

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Personal Research Assistant for Online exploration of Historical News 42nd

Personal Research Assistant for Online Exploration of Histor...

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42nd European conference on IR Research

作者： Pivovarova, Lidia Jean-Caurant, Axel Avikainen, Jari Alnajjar, Khalid Granroth-Wilding, Mark Leppanen, Leo Zosa, Elaine Toivonen, Hannu Univ Helsinki Helsinki Finland Univ La Rochelle La Rochelle France

ISBN: (纸本)9783030454418;9783030454425

We present a novel environment for exploratory search in large collections of historical newspapers developed as a part of the NewsEye project. In this paper we focus on the intelligent Personal Research Assistant (PRA) component in the environment and the web interface. The PRA is an interactive exploratory engine that combines results of various text analysis tools in an unsupervised fashion to conduct autonomous investigations on the data according to users' needs. The PRA is freely available online together with some datasets of European historical newspapers. The methods used by the assistant are of potential benefit to other exploratory search applications.

关键词： Exploratory search Intelligent personal assistant

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