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Understanding a sequence of sequences: visual exploration of categorical states in lake sediment cores

IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2018年第1期24卷 66-76页

作者： Unger, Andrea Drager, Nadine Sips, Mike Lehmann, Dirk J. GFZ German Res Ctr Geosci Potsdam Germany Univ Magdeburg Magdeburg Germany

This design study focuses on the analysis of a time sequence of categorical sequences. Such data is relevant for the geoscientific research field of landscape and climate development. It results from microscopic analysis of lake sediment cores. The goal is to gain hypotheses about landscape evolution and climate conditions in the past. To this end, geoscientists identify which categorical sequences are similar in the sense that they indicate similar conditions. Categorical sequences are similar if they have similar meaning (semantic similarity) and appear in similar time periods (temporal similarity). For data sets with many different categorical sequences, the task to identify similar sequences becomes a challenge. Our contribution is a tailored visual analysis concept that effectively supports the analytical process. Our visual interface comprises coupled visualizations of semantics and temporal context for the exploration and assessment of the similarity of categorical sequences. Integrated automatic methods reduce the analytical effort substantially. They (1) extract unique sequences in the data and (2) rank sequences by a similarity measure during the search for similar sequences. We evaluated our concept by demonstrations of our prototype to a larger audience and hands-on analysis sessions for two different lakes. According to geoscientists, our approach fills an important methodological gap in the application domain.

关键词： visualization in Earth Science Time Series data Categorical data Design Study

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visual analysis Based on Research on Mergers and Acquisitions Performance

Visual Analysis Based on Research on Mergers and Acquisition...

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International conference on Economic Management and Model Engineering (ICEMME)

作者： Jianwen Yan Xingli Cai Yu Fan School of managemeat Hefei University of Technology Hefei Anhui China

Mergers and acquisitions(M& A) is one of the strategic behaviors of corporate growth and evolution, and M& A performance is an important index to evaluate whether the function of corporate M& A is achieved and the effect of M& A. As the M& A market becomes more and more active, scholars are doing more research on related aspects, but few studies use bibliometrics and visualization methods to conduct in-depth exploration and show the full picture of the field. This article uses bibliometric research methods to analyze the data samples of 5065 articles in the core collection of Web of Science from 2000 to 2019, and the document type is Article, and the time distribution, spatial distribution, knowledge evolution, and literature of the domain knowledge Co-cited and research hotspots were analyzed in depth and visualized. It reveals the development status of related research on mergers and acquisitions and performance, analyzes and discusses research hotspots and future development trends in this field, and provides important knowledge support for researchers in this field to carry out related research.

关键词： Knowledge engineering Economics visualization Graphical models Corporate acquisitions Bibliometrics data visualization

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Surprise! Predicting Infant visual Attention in a Socially Assistive Robot Contingent Learning Paradigm 28

Surprise! Predicting Infant Visual Attention in a Socially A...

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28th IEEE International conference on Robot and Human Interactive Communication (RO-MAN)

作者： Klein, Lauren Itti, Laurent Smith, Beth A. Rosales, Marcelo Nikolaidis, Stefanos Mataric, Maja J. Univ Southern Calif Interact Lab Dept Comp Sci Los Angeles CA 90089 USA Univ Southern Calif iLab Dept Comp Sci Los Angeles CA 90007 USA Univ Southern Calif Infant Neuromotor Control Lab Div Biokinesiol & Phys Therapy Los Angeles CA 90007 USA Univ Southern Calif Interact & Collaborat Autonomous Robot Syst Lab Dept Comp Sci Los Angeles CA 90007 USA

ISBN: (纸本)9781728126227

Early intervention to address developmental disability in infants has the potential to promote improved outcomes in neurodevelopmental structure and function [1]. Researchers are starting to explore Socially Assistive Robotics (SAR) as a tool for delivering early interventions that are synergistic with and enhance human-administered therapy. For SAR to be effective, the robot must be able to consistently attract the attention of the infant in order to engage the infant in a desired activity. This work presents the analysis of eye gaze tracking data from five 6-8 month old infants interacting with a Nao robot that kicked its leg as a contingent reward for infant leg movement. We evaluate a Bayesian model of low-level surprise on video data from the infants' head-mounted camera and on the timing of robot behaviors as a predictor of infant visual attention. The results demonstrate that over 67% of infant gaze locations were in areas the model evaluated to be more surprising than average. We also present an initial exploration using surprise to predict the extent to which the robot attracts infant visual attention during specific intervals in the study. This work is the first to validate the surprise model on infants;our results indicate the potential for using surprise to inform robot behaviors that attract infant attention during SAR interactions.

关键词： Bayesian networks

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ICMR 2019 - Proceedings of the 2019 ACM International conference on Multimedia Retrieval

ICMR 2019 - Proceedings of the 2019 ACM International Confer...

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2019 ACM International conference on Multimedia Retrieval, ICMR 2019

ISBN: (纸本)9781450367653

The proceedings contain 60 papers. The topics discussed include: a geographical-temporal awareness hierarchical attention network for next point-of-interest recommendation;the focus-aspect-value model for explainable prediction of subjective visual interpretation;context-aware embeddings for automatic art analysis;methods of multi-modal data exploration;benchmarking search and annotation in continuous human skeleton sequences;a genetic programming approach for searching on nearest neighbors graphs;weakly supervised image retrieval via coarse-scale feature fusion and multi-level attention blocks;an unsupervised genetic algorithm framework for rank selection and fusion on image retrieval;and integrity verification in medical image retrieval systems using spread spectrum steganography.

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Use of wavelet transform and signal processing techniques for inferring interwell connectivity in waterflooding operations

Use of wavelet transform and signal processing techniques fo...

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SPE Annual Technical conference and Exhibition 2019, ATCE 2019

作者： Unal, Ebru Siddiqui, Fahd Rezaei, Ali Eltaleb, Ibrahim Kabir, Shah Soliman, Mohamed Y. Dindoruk, Birol University of Houston United States Shell International Exploration and Production Inc.

ISBN: (纸本)9781613996638

Inter-well connectivity (IWC) is one of the most significant properties when evaluating the success of a waterflood. This connectivity has been obtained from various physics-based methods such as simulations, tracers and using heuristics and semi-analytical tools like capacitance-resistance model (CRM). Production and injection data are a key piece of information required to compute the IWC. In this study, we present a new method for estimating IWC using signal processing techniques on the wavelet transform of the injection and production rate data. First, the injection and production rates are subjected to multiresolution analysis using the wavelet transform to determine the detail coefficients. The variance of the detail coefficients is then computed and is ready to be processed using various signal processing techniques. Signal processing techniques such as cross-correlation, time lag, Spearman correlation, and Kendal correlation are used to identify the level of relationship between the processed injection and production data in wavelet scale space. Based on the correlation coefficients, a new IWC link parameter is proposed for characterizing the IWC between well pairs. The IWC link parameters between well pairs are then plotted for visual representation. We created several simulation models for multi-well systems, established water-flood patterns, and for randomly placed wells to establish the new IWC link parameter. The resulting injection and production rates were analyzed using the methodology above and the new IWC link parameter is established in terms of cross-correlation coefficient. We also performed several simulations for a heterogenous reservoir to compute and compare the accuracy of the new IWC link parameter. Finally, the methodology is subjected to real field waterflooding, and compared against the CRM results, which shows a good agreement. The visual representation gives new insight into whether the connectivity is being affected by the reservoir

关键词： Heuristic methods

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A Framework for Sedimentological data Structure Extraction in Gold Mining Facies Delineation

A Framework for Sedimentological Data Structure Extraction i...

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2019 IEEE Asia-Pacific conference on Computer Science and data Engineering, CSDE 2019

作者： Khoza, Phumlani Nhlanganiso University of Witwatersrand Scilinx Research School of Computer Science Applied Mathematics Johannesburg South Africa

ISBN: (纸本)9781728163031

Quartz-pebble conglomerate (reef) horizons of the Witwatersrand Basin are the most important sources of gold (Au) in South Africa. Concentration of gold to economic ore-grades in the Witwatersrand-type gold deposits has been linked to sedimentary processes having operated as principal driving forces. Therefore, in Witwatersrand-type gold deposits, sedimentological data are often utilized to make qualitative assessment of in-situ gold-grade. This paper presents a framework that prescribes a normative and principled analysis of sedimentological data in order to quantify in-situ gold-grades. Its significance is the provision of a scalable process for extracting correlational structures, regardless of the attribute value-types. The framework applies network analysis, and a bespoke clustering algorithm to support visual analysis of spatial correlation between sedimentological data samples. A key result is the preservation of the semantic interpretation of the resulting cluster assignments via a topologically invariant transformation. This is achieved by applying non-uniform weighting to the attributes to emphasize the influence of non-numeric attributes in cluster assignment. Additionally, sedimentological attributes that are strongly correlated with gold-grade are identified by adopting total variance reduction from decision tree regression as a guiding principle. Using this approach, and data collected from a mining company located in the Witwatersrand Basin, spatial correlation structures defined over sedimentological data attributes are reported. As a byproduct, observations that lack spatial correlation with the rest of the data are identified. These isolated observations can inform quality assurance and quality control departments about potential irregularities in the reporting of sedimentological data within exploration and mining companies. © 2019 IEEE.

关键词： Quality control

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HiPiler: visual exploration of Large Genome Interaction Matrices with Interactive Small Multiples

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IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2018年第1期24卷 522-531页

作者： Lekschas, Fritz Bach, Benjamin Kerpedjiev, Peter Gehlenborg, Nils Pfister, Hanspeter Harvard Univ Cambridge MA 02138 USA Harvard Med Sch Boston MA USA

This paper presents an interactive visualization interface HiPiler for the exploration and visualization of regions-of-interest in large genome interaction matrices. Genome interaction matrices approximate the physical distance of pairs of regions on the genome to each other and can contain up to 3 million rows and columns with many sparse regions. Regions of interest (ROls) can be defined, e.g., by sets of adjacent rows and columns, or by specific visual patterns in the matrix. However, traditional matrix aggregation or pan-and-zoom interfaces fail in supporting search, inspection, and comparison of ROls in such large matrices. In HiPiler, ROls are first-class objects, represented as thumbnail-like "snippets". Snippets can be interactively explored and grouped or laid out automatically in scatterplots, or through dimension reduction methods. Snippets are linked to the entire navigable genome interaction matrix through brushing and linking. The design of HiPiler is based on a series of semi-structured interviews with 10 domain experts involved in the analysis and interpretation of genome interaction matrices. We describe six exploration tasks that are crucial for analysis of interaction matrices and demonstrate how HiPiler supports these tasks. We report on a user study with a series of data exploration sessions with domain experts to assess the usability of HiPiler as well as to demonstrate respective findings in the data.

关键词： Interactive Small Multiples Matrix Comparison Biomedical visualization Genomics

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Packed-Memory Quadtree: A cache-oblivious data structure for visual exploration of streaming spatiotemporal big data

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COMPUTERS & GRAPHICS-UK 2018年 76卷 117-128页

作者： Toss, Julio Pahins, Cicero A. L. Raffin, Bruno Comba, Joao L. D. Univ Fed Rio Grande do Sul Inst Informat Porto Alegre RS Brazil Univ Grenoble Alpes Inria CNRS Grenoble INPLIG F-38000 Grenoble France

The visual analysis of large multidimensional spatiotemporal datasets poses challenging questions regarding storage requirements and query performance. Several data structures have recently been proposed to address these problems that rely on indexes that pre-compute different aggregations from a known-a-priori dataset. Consider now the problem of handling streaming datasets, in which data arrive as one or more continuous data streams. Such datasets introduce challenges to the data structure, which now has to support dynamic updates (insertions/deletions) and rebalancing operations to perform self reorganizations. In this work, we present the Packed-Memory Quadtree (PMQ), a novel data structure designed to support visual exploration of streaming spatiotemporal datasets. PMQ is cache-oblivious to perform well under different cache configurations. We store streaming data in an internal index that keeps a spatiotemporal ordering over the data following a quadtree representation, with support for real-time insertions and deletions. We validate our data structure under different dynamic scenarios and compare to competing strategies. We demonstrate how PMQ could be used to answer different types of visual spatiotemporal range queries of streaming datasets. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Spatiotemporal datasets Streaming Real-time exploration Range queries

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visual analysis of retinal changes with optical coherence tomography

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visual COMPUTER 2018年第9期34卷 1209-1224页

作者： Roehlig, Martin Schmidt, Christoph Prakasam, Ruby Kala Rosenthal, Paul Schumann, Heidrun Stachs, Oliver Univ Rostock Inst Comp Sci Rostock Germany Univ Rostock Dept Ophthalmol Rostock Germany

Optical coherence tomography (OCT) enables noninvasive high-resolution 3D imaging of the human retina, and thus plays a fundamental role in detecting a wide range of ocular diseases. Despite the diagnostic value of OCT, managing and analyzing resulting data is challenging. We apply two visual analysis strategies for supporting retinal assessment in practice. First, we provide an interface for unifying and structuring data from different sources into a common basis. Fusing that basis with medical records and augmenting it with analytically derived information facilitates thorough investigations. Second, we present a tailored visual analysis tool for presenting, emphasizing, selecting, and comparing different aspects of the attributed data. This enables free exploration, reducing the data to relevant subsets, and focusing on details. By applying both strategies, we effectively enhance the management and the analysis of retinal OCT data for assisting medical diagnoses. Domain experts applied our solution successfully to study early retinal changes in patients suffering from type 1 diabetes mellitus.

关键词： visual analysis Optical coherence tomography OCT data Ophthalmology Retina

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Sketch-aided retrieval of incomplete 3D cultural heritage objects 12

Sketch-aided retrieval of incomplete 3D cultural heritage ob...

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12th Eurographics Workshop on 3D Object Retrieval, 3DOR 2019, in conjunction with the 40th Annual conference of the European Association for Computer Graphics, EG 2019

作者： Lengauer, S. Komar, A. Labrada, A. Karl, S. Trinkl, E. Preiner, R. Bustos, B. Schreck, T. Institute of Computer Graphics and Knowledge Visualisation Graz University of Technology Austria Institute of Archaeology University of Graz Austria Millenium Institute for Foundational Research on Data Department of Computer Science University of Chile Chile

ISBN: (纸本)9783038680772

Due to advances in digitization technology, documentation efforts and digital library systems, increasingly large collections of visual Cultural Heritage (CH) object data becomes available, offering rich opportunities for domain analysis, e.g., for comparing, tracing and studying objects created over time. In principle, existing shape- and image-based similarity search methods can aid such domain analysis tasks. However, in practice, visual object data are given in different modalities, including 2D, 3D, sketches or conventional drawings like profile sections or unwrappings. In addition, collections may be distributed across different publications and repositories, posing a challenge for implementing encompassing search and analysis systems. We introduce a methodology and system for cross-modal visual search in CH object data. Specifically, we propose a new query modality based on 3D views enhanced by user sketches (3D+sketch). This allows for adding new context to the search, which is useful e.g., for searching based on incomplete query objects, or for testing hypotheses on existence of certain shapes in a collection. We present an appropriately designed workflow for constructing query views from incomplete 3D objects enhanced by a user sketch based on shape completion and texture inpainting. visual cues additionally help users compare retrieved objects with the query. We apply our method on a set of relevant 3D and view-based CH object data, demonstrating the feasibility of our approach and its potential to support analysis of domain experts in Archaeology and the field of CH in general. © 2019 The Author(s)

关键词： Textures

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