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检索条件"机构=Data Analysis and Visualization"

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Efficient dense reconstruction using geometry and image consistency constraints

Efficient dense reconstruction using geometry and image cons...

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Applied Imagery Pattern Recognition Workshop (AIPR)

作者： Mikhail M. Shashkov Jason Mak Shawn Recker Connie Nguyen John Owens Kenneth I. Joy Institute for Data Analysis and Visualization University of California - Davis Davis California

We introduce a method for creating very dense reconstructions of datasets, particularly turn-table varieties. The method takes in initial reconstructions (of any origin) and makes them denser by interpolating depth values in two-dimensional image space within a superpixel region and then optimizing the interpolated value via image consistency analysis across neighboring images in the dataset. One of the core assumptions in this method is that depth values per pixel will vary gradually along a gradient for a given object. As such, turntable datasets, such as the dinosaur dataset, are particularly easy for our method. Our method modernizes some existing techniques and parallelizes them on a GPU, which produces results faster than other densification methods.

关键词： Image reconstruction Cameras Three-dimensional displays Interpolation Feature extraction Reconstruction algorithms Shape

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Visual-interactive querying for multivariate research data repositories using bag-of-words 13

Visual-interactive querying for multivariate research data r...

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13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013

作者： Scherer, Maximilian Landesberger, Tatianavon Schreck, Tobias TU Darmstadt Interactive Graphics Systems Group Fraunhoferstr. 5 64283 Darmstadt Germany Data Analysis and Visualization Group University of Konstanz Universitaetsstr 10 78457 Konstanz Germany

ISBN: (纸本)9781450320764

Large amounts of multivariate data are collected in different areas of scientific research and industrial production. These data are collected, archived and made publicly available by research data repositories. In addition to meta-data based access, content-based approaches are highly desirable to effectively retrieve, discover and analyze data sets of interest. Several such methods, that allow users to search for particular curve progressions, have been proposed. However, a major challenge when providing content-based access interactive feedback during query formulation has not received much attention yet. This is important because it can substantially improve the user's search effectiveness. In this paper, we present a novel interactive feedback approach for content-based access to multivariate research data. Thereby, we enable query modalities that were not available for multivariate data before. We provide instant search results and highlight query patterns in the result set- Real-time search suggestions give a.11 overview of important patterns to look for in the data repository. For this purpose, we develop a bag-of-words index for multivariate data as the back-end of our approach. We apply our method to a large repository of multivariate data from the climate research domain. We describe a use-case for the discovery of interesting patterns in maritime climate research using our new visual-interactive query tools. Copyright © 2013 by the Association for Computing Machinery, Inc. (ACM).

关键词： Content based retrieval

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Mass-dependent integral curves in unsteady vector fields

Mass-dependent integral curves in unsteady vector fields

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15th Eurographics Conference on visualization, EuroVis 2013

作者： Günther, Tobias Kuhn, Alexander Kutz, Benjamin Theisel, Holger Visual Computing Group University of Magdeburg Germany Visualization and Data Analysis Zuse Institute Berlin Germany Institute of Aerodynamics and Gas Dynamics University of Stuttgart Germany

Recent research in flow visualization is focusing on the analysis of time-dependent, but mass-less particles. However, in many application scenarios, the mass of particles and their resulting inertia - is essential in understanding fluid mechanics. This includes critical processes, such as dust particles interacting with aircraft (e.g., brownor white-out effects) and particle separation based on density variation. In this paper, we contribute a generalized description of mass-dependent particle trajectories and apply existing unsteady flow visualization methods to the mass-dependent case. This comprises the extension of common concepts, i.e., path lines, streak lines, and time lines. Furthermore, we introduce a new class of integral curves, called mass lines that effectively visualizes mass separation and captures mass-related features in unsteady flow fields that are inaccessible using traditional methods. We demonstrate the applicability of our method, using a number of real-world and artificial data sets, in which mass is a crucial parameter. In particular, we focus on the analysis of brown-out conditions, introduced by a helicopter in forward flight close to the ground. © 2013 The Author(s).

关键词： Flow visualization

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Preface 2nd

Preface

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2nd International Workshop on visualization in Medicine and Life Sciences, VMLS 2009

作者： Linsen, Lars Hagen, Hans Hamann, Bernd Hege, Hans-Christian Jacobs University Bremen School of Engineering and Science Postfach 75 05 61 Bremen28725 Germany Universität Kaiserslautern FB Informatik Postfach 30 49 Kaiserslautern67653 Germany Institute for Data Analysis and Visualization Department of Computer Science University of California Davis One Shields Avenue DavisCA95616-8562 United States Visualization and Data Analysis Takustr. 7 Berlin14195 Germany

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Feature track summary visualization for sequential multi-view reconstruction

Feature track summary visualization for sequential multi-vie...

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Applied Imagery Pattern Recognition Workshop (AIPR)

作者： Shawn Recker Mauricio Hess-Flores Kenneth I. Joy Institute of Data Analysis and Visualization University of California Davis Davis California

ISBN: (纸本)9781479925414

Analyzing sources and causes of error in multi-view scene reconstruction is difficult. In the absence of any ground-truth information, reprojection error is the only valid metric to assess error. Unfortunately, inspecting reprojection error values does not allow computer vision researchers to attribute a cause to the error. A visualization technique to analyze errors in sequential multi-view reconstruction is presented. By computing feature track summaries, researchers can easily observe the progression of feature tracks through a set of frames over time. These summaries easily isolate poor feature tracks and allow the observer to infer the cause of a delinquent track. This visualization technique allows computer vision researchers to analyze errors in ways previously unachieved. It allows for a visual performance analysis and comparison between feature trackers, a previously unachieved result in the computer vision literature. This framework also provides the foundation to a number of novel error detection and correction algorithms.

关键词： Image reconstruction visualization Cameras Computer vision Measurement data visualization Image color analysis

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Feature Identification and Extraction in Function Fields

Feature Identification and Extraction in Function Fields

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9th Joint Eurographics/IEEE VGTC Symposium on visualization, EuroVis 2007

作者： Anderson, John C. Gosink, Luke J. Duchaineau, Mark A. Joy, Kenneth I. Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory

ISBN: (纸本)9783905673456

We present interactive techniques for identifying and extracting features in function fields. Function fields map points in n-dimensional Euclidean space to 1-dimensional scalar functions. Visual feature identification is accomplished by interactively rendering scalar distance fields, constructed by applying a function-space distance metric over the function field. Combining visual exploration with feature extraction queries, formulated as a set of function-space constraints, facilitates quantitative analysis and annotation. Numerous application domains give rise to function fields. We present results for two-dimensional hyperspectral images, and a simulated time-varying, three-dimensional air quality dataset. © The Eurographics Association 2007.

关键词： Air quality

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PointCloudXplore: A visualization Tool for 3D Gene Expression data 1

PointCloudXplore: A Visualization Tool for 3D Gene Expressio...

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1st Workshop of the DFG's International Research Training Group "visualization of Large and Unstructured data Sets - Applications in Geospatial Planning, Modeling, and Engineering"

作者： Rübel, Oliver Weber, Gunther H. Keränen, Soile V. E. Fowlkes, Charless C. Hendriks, Cris L. Luengo Simirenko, Lisa Shah, Nameeta Y. Eisen, Michael B. Biggin, Mark D. Hagen, Hans Sudar, Damir Malik, Jitendra Knowles, David W. Hamann, Bernd International Research Training Group 'Visualization of Large and Unstructured Data Sets' University of Kaiserslautern Germany Institute for Data Analysis and Visualization University of California DavisCA United States Life Sciences and Genomics Divisions Lawrence Berkeley National Laboratory BerkeleyCA United States Computer Science Division University of California BerkeleyCA United States

ISBN: (纸本)9783885794387

The Berkeley Drosophila Transcription Network Project (BDTNP) has developed a suite of methods that support quantitative, computational analysis of threedimensional (3D) gene expression patterns with cellular resolution in early Drosophila embryos, aiming at a more in-depth understanding of gene regulatory networks. We describe a new tool, called PointCloudXplore (PCX), that supports effective 3D gene expression data exploration. PCX is a visualization tool that uses the established visualization techniques of multiple views, brushing, and linking to support the analysis of high-dimensional datasets that describe many genes' expression. Each of the views in PointCloudXplore shows a different gene expression data property. Brushing is used to select and emphasize data associated with defined subsets of embryo cells within a view. Linking is used to show in additional views the expression data for a group of cells that have first been highlighted as a brush in a single view, allowing further data subset properties to be determined. In PCX, physical views of the data are linked to abstract data displays such as parallel coordinates. Physical views show the spatial relationships between different genes' expression patterns within an embryo. Abstract gene expression data displays on the other hand allow for an analysis of relationships between different genes directly in the gene expression space. We discuss on parallel coordinates as one example abstract data view currently available in PCX. We have developed several extensions to standard parallel coordinates to facilitate brushing and the visualization of 3D gene expression data. © 2006 Gesellschaft für Informatik, Bonn.

关键词： visualization

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Advanced visual analytics methods for literature analysis 6

Advanced visual analytics methods for literature analysis

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6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, LaTeCH 2012 at the 13th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2012

作者： Oelke, Daniela Kokkinakis, Dimitrios Malm, Mats University of Konstanz Data Analysis and Visualization Konstanz Germany Språkbanken Department of Swedish University of Gothenburg Gothenburg Sweden Department of Literature History of Ideas and Religion University of Gothenburg Gothenburg Sweden

ISBN: (纸本)9781937284190

The volumes of digitized literary collections in various languages increase at a rapid pace, which results also in a growing demand for computational support to analyze such linguistic data. This paper combines robust text analysis with advanced visual analytics and brings a new set of tools to literature analysis. Visual analytics techniques can offer new and unexpected insights and knowledge to the literary scholar. We analyzed a small subset of a large literary collection, the Swedish Literature Bank, by focusing on the extraction of persons' names, their gender and their normalized, linked form, including mentions of theistic beings (e.g., Gods' names and mythological figures), and examined their appearance over the course of the novel. A case study based on 13 novels, from the aforementioned collection, shows a number of interesting applications of visual analytics methods to literature problems, where named entities can play a prominent role, demonstrating the advantage of visual literature analysis. Our work is inspired by the notion of distant reading or macroanalysis for the analyses of large literature collections. © 2012 Association for Computational Linguistics.

关键词： visualization

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Marking menus for eyes-free interaction using smart phones and tablets

Marking menus for eyes-free interaction using smart phones a...

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IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability, and Security in Information Systems and HCI, CD-ARES 2013

作者： Bauer, Jens Ebert, Achim Kreylos, Oliver Hamann, Bernd Computer Graphics HCI Lab. TU Kaiserslautern 67663 Kaiserslautern Germany Institute for Data Analysis and Visualization Department of Computer Science University of California Davis CA 95616 United States

ISBN: (纸本)9783642405105

Large displays are helpful tools for knowledge discovery applications. The increased screen real estate allows for more data to be shown at once. In some cases using virtual reality visualizations helps in creating more useful visualizations. In such settings, traditional input devices are not well-suited. They also do not scale well to multiple users, effectively limiting collaborative knowledge discovery scenarios. Smart phones and tablet computers are becoming increasingly ubiquitous and powerful, even having multi-core CPUs and dedicated Graphic Processing Units (GPUs). Given their built-in sensors they can serve as replacements for currently-used input devices, and provide novel functionality not achieved with traditional devices. Furthermore, their ubiquity ensures that they scale well to multi-user environments, where users can use their own devices. We present an application-independent way to integrate smart phones and tablets into knowledge discovery applications as input devices with additional functionality. This approach is based on Marking Menus, but extends the basic idea by employing the special capabilities of current consumer-level smart phones and tablets. © 2013 IFIP International Federation for Information Processing.

关键词： Smartphones

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Analyzing Collective Intelligence Through Sentiment Networks in Self-organized Douban Communities 18th

Analyzing Collective Intelligence Through Sentiment Networks...

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18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023

作者： Xie, Tiantian Wu, Xiaokun School of Journalism and Communication South China University of Technology Guangdong Guangzhou510006 China Center for Data Analysis and Information Visualization South China University of Technology Guangdong Guangzhou510006 China

ISBN: (纸本)9789819996360

Understanding the communication behaviors of online community users, particularly their crowd intelligence dynamics, has long been a focal point within network communication research. In this study, we present an approach integrating the BERTopic topic model, advanced Natural Language Processing (NLP) techniques, and Social Network analysis, to meticulously dissect the intricate dynamics of emotion propagation and evolution within collective behaviors that unfold on social networks. Our investigation delves deeply into this complex landscape, exploring the relationships between the sentiment of the initial post and subsequent responses, the interplay between sentiment strength and activity levels, and the correlation between sentiment polarity and the intensity of activity. This study highlights the significance of harnessing the combined power of BERTopic, NLP, and social network methodologies to decode the subtleties of emotional propagation and transformation. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Social networking (online)

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