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arXiv 2019年

作者： Faherty, Jacqueline K. SubbaRao, Mark Wyatt, Ryan Ynnerman, Anders deGrasse Tyson, Neil Geller, Aaron Weber, Maria Rosenfield, Philip Stoeckle, Gabriel Weiskopf, Daniel Magnor, Marcus Williams, Peter K.G. Abbott, Brian Marchetti, Lucia Jarrrett, Thomas Fay, Jonathan Peek, Joshua Graur, Or Durrell, Patrick Homeier, Derek Preston, Heather Müller, Thomas Vos, Johanna M. Brown, David Godfrey, Paige Giorla Rice, Emily Gagliuffi, Daniella Bardalez Bock, Alexander American Museum of Natural History Hayden Planetarium Adler Planetarium International Planetarium Society California Academy of Sciences Linköping University Adler Planetarium University of Chicago AAS WorldWide Telescope Instituto de Astronomiá UNAM Natural History Museum Vienna Austria Visualization Research Center University of Stuttgart Computer Graphics Lab TU Braunschweig Center for Astrophysics | Harvard & Smithsonian American Astronomical Society American Museum of Natural History Hayden Planetarium University of Cape Town Iziko Planetarium & Digital Dome Space Telescope Science Institute Johns Hopkins University Youngstown State University Ward Beecher Planetarium Förderkreis Planetarium Göttingen Germany Calusa Nature Center & Planetarium Haus der Astronomie MPIA Microsoft Research Slooh CUNY Macaulay Honors College Scientific Computing and Imaging Institute University of Utah

Astrophysics lies at the crossroads of big datasets (such as the Large Synoptic Survey Telescope and Gaia), open source software to visualize and interpret high dimensional datasets (such as Glue, WorldWide Telescope, and OpenSpace), and uniquely skilled software engineers who bridge data science and research fields. At the same time, more than 4,000 planetariums across the globe immerse millions of visitors in scientific data. We have identified the potential for critical synergy across data, software, hardware, locations, and content that-if prioritized over the next decade-will drive discovery in astronomical research. Planetariums can and should be used for the advancement of scientific research. Current facilities such as the Hayden Planetarium in New York City, Adler Planetarium in Chicago, Morrison Planetarium in San Francisco, the Iziko Planetarium & Digital Dome Research Consortium in Cape Town, and Visualization Center C in Norrköping are already developing software which ingests catalogs of astronomical and multi-disciplinary data critical for exploration research primarily for the purpose of creating scientific storylines for the general public. We propose a transformative model whereby scientists become the audience and explorers in planetariums, utilizing software for their own investigative purposes. In this manner, research benefits from the authentic and unique experience of data immersion contained in an environment bathed in context and equipped for collaboration. Consequently, in this white paper we argue that over the next decade the research astronomy community should partner with planetariums to create visualization-based research opportunities for the field. Realizing this vision will require new investments in software and human capital. Copyright © 2019, The Authors. All rights reserved.

关键词： Planetariums

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Key frame extraction based on motion vector 17th

Key frame extraction based on motion vector

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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Qiang, Ziqian Xu, Qing Sun, Shihua Sbert, Mateu School of Computer Science and Technology Tianjin University Yaguan Road #135 Tianjin300350 China Graphics and Imaging Lab Universitat de Girona Campus Montilivi Girona17071 Spain

ISBN: (纸本)9783319488950

Video key frame extraction is a video summarization technique which is used to recapitulate and describe the most important segments of video sequence. Video clips containing motion information are more likely to draw users’ attention. Accordingly, we propose a novel key frame extraction scheme based on motion vector. A video sequence is partitioned into shots by distance between consecutive video frames calculated by Relative Entropy (RE). Difference of magnitude of motion vector between neighboring video images within a shot is computed to localize video clips containing significant content changes. And such segments are defined as active sub-shots in this paper. The key frames are extracted from each active sub-shots and other inactive sub-shots by exploiting different algorithms. Experimental results show that our proposed method obtains exact and complete results in video key frame extraction. © Springer International Publishing AG 2016.

关键词： Vectors

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Case study on requirements engineering in information mining project: Metallurgical enterprise 1

Case study on requirements engineering in information mining...

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Joint 1st International Workshop on Knowledge Requirements: Acquisition and Representation, KRAR 2016 and the 1st Regional Consortium for Computing sciences and Foundation, RCCS 2016

作者： Pollo-Cattaneo, M.F. Pesado, P. Britos, P. García-Martínez, R. PhD Program on Computer Science Computer Science School National University of La Plata Information System Methodologies Research Group Technological National University Buenos Aires Argentina School of Computer Science National University of La Plata Buenos Aires Argentina Information Mining Research Group National. Lab. ID + I in Visualization Computer Graphics and Creative Code University of Rio Negro at El Bolsón Río Negro Argentina Information Systems Research Group National University of Lanus Buenos Aires Argentina

There can be no debate that Information Mining Projects cause processing tools to arise with the sole purpose of converting available organization data into useful knowledge on account of decision-making. Considering the aforementioned, this type of projects demands due diligence in the requirement specification process, as the latter needs to be thorough and traceable throughout the entire project, and therefore, process associated with requirements engineering are not to be reused in any future projects among the like. Similarly, latest methodologies within the field of Information Mining fail to take practices associated to stakeholders and costumers' requirements management into account. With this aim in mind, a solution model to the Information Mining Project Management necessities is proposed. © 2016, CEUR-WS. All rights reserved.

关键词： Requirements engineering

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An overview+detail surveillance video player: Information-based adaptive fast-forward 17th

An overview+detail surveillance video player: Information-ba...

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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Dong, Lele Xu, Qing Wu, Shang Song, Xueyan Schoeffmann, Klaus Sbert, Mateu School of Computer Science and Technology Tianjin University Yaguan Road #135 Tianjin300350 China Klagenfurt University Institute of Information Technology Universitaetsstr. 65-67 Klagenfurt9020 Austria Graphics and Imaging Lab Universitat de Girona Campus Montilivi Girona17071 Spain

ISBN: (纸本)9783319488950

In this paper, we propose an adaptive fast playback framework where multi-features are used to support arbitrary frame-rate video playback. We introduce a Jenson noise-based difference (JSND) as a distance measure between adjacent frames for video key frame extraction, and then present an interest learning model to control the playback rate according to the user preference. The proposed "smart-skip" frame schema not only helps users navigate the video content non-uniformly for any variable playback rate, but also preserves video semantic information to avoid the omission of important events. An overview+detail video player offering users an immersive experience is implemented to browse and comprehend the video content. Experimental results show that users can quickly skim the video, understand the content, and navigate into the content of in terest. © Springer International Publishing AG 2016.

关键词： Video recording

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New graph-based text summarization method

New graph-based text summarization method

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IEEE Pacific Rim Conference on Communications, computers and Signal Processing

作者： Saif alZahir Qandeel Fatima Martin Cenek CS Department UNBC Image Processing and Graphics Lab„ British Columbia Canada Computer Science and Engineering Department UAA Anchorage Alaska USA

ISBN: (纸本)9781467377898

The exponential growth of text data on the World Wide Web as well as on databases off line created a critical need for efficient text summarizers that significantly reduce its size while maintaining its integrity. In this paper, we present a new multigraph-based text summarizer method. This method is unique in that it produces a multi-edge-irregular-graph that represents words occurrence in the sentences of the target text. This graph is then converted into a symmetric matrix from which we can produce the ranking of sentences and hence obtain the summarized text using a threshold. To test our method performance, we compared our results with those from the most popular publicly available text summarization software using a corpus of 1000 samples from 6 different applications: health, literature, politics, religion, science and sports. The simulation results show that the proposed method produced better or comparable summaries in all cases. The proposed method is fast and can be implement for real time summarization.

关键词： Symmetric matrices Semantics Frequency measurement Electronic mail Companies Natural languages computers

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Approximate Poisson disk sampling on mesh

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science China(Information sciences) 2013年第9期56卷 194-205页

作者： GENG Bo ZHANG HuiJuan WANG Heng WANG GuoPing Graphics and Interactive Technology Lab of Dept. of Computer Science Peking University The Key Lab of Machine perception and intelligent MOE

Poisson disk sampling has been widely used in many applications such as remeshing, procedural texturing, object distribution, illumination, etc. While 2D Poisson disk sampling is intensively studied in recent years, direct Poisson disk sampling on 2-manifold surface is rarely covered. In this paper, we present a novel framework which generates approximate Poisson disk distribution directly on mesh, a discrete representation of 2-manifold surfaces. Our framework is easy to implement and provides extra flexibility to specified sampling issues like feature-preserving sampling and adaptive sampling. We integrate the tensor voting method into feature detection and adaptive sample radius calculation. Remeshing as a special downstream application is also addressed. According to our experiment results, our framework is efficient, robust, and widely applicable.

关键词： Poisson disk sampling feature preserving sampling adaptive sampling remeshing tensor voting

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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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Laplacian musculoskeletal deformation for patient-specific simulation and visualisation

Laplacian musculoskeletal deformation for patient-specific s...

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2013 17th International Conference on Information Visualisation, IV 2013

作者： Zhao, Youbing Clapworthy, Gordon J. Kohout, Josef Dong, Feng Tao, Yubo Wei, Hui McFarlane, Nigel Centre for Computer Graphics and Visualisation University of Bedfordshire United Kingdom Department of Computer Science and Engineering University of West Bohemia Plzeò Czech Republic State Key Lab. of CAD and CG Zhejiang University Hangzhou China

ISBN: (纸本)9780769550497

In many biomedical applications, it is often desired to simulate, analyse and visualise the dynamics of a particular patient based on a patient-specific musculoskeletal model. However, reconstructing a patient-specific model directly from medical images is highly labour intensive, and impractical in the clinical context. A more efficient method is to derive it from an atlas musculoskeletal model using patient-specific hints. In this paper, Laplacian mesh processing is introduced to deform an atlas model to a patient-specific model, based on patient-specific landmarks extracted from two orthogonal clinical images and using least-squares error optimization. Muscle attachment landmarks and motion landmarks in the atlas are also transformed as part of the process. Drift and inter-surface penetrations are prevented by supplementary inter-surface landmarks. Mesh simplification and reconstruction are used to avoid out-of-memory failures that may result from trying to deform models at high resolution. © 2013 IEEE.

关键词： Deformation

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Structure-aware shape processing 13

Structure-aware shape processing

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SIGGRAPH Asia 2013 Courses, SA 2013

作者： Mitra, Niloy J. Wand, Michael Zhang, Hao Cohen-Or, Daniel Kim, Vladimir Huang, Qi-Xing United Kingdom Max-Planck Institut Informatik Saarland University Germany Graphics Usability and Visualization Lab Simon Fraser University Canada TAU United States School of Computing Science United States Stanford Univ. United States Computer Science Department Princeton University United States Department Computer Science Stanford University United States

ISBN: (纸本)9781450326315

Shape structure is about the arrangement and relations between shape parts. Structure-aware shape processing goes beyond local geometry and low level processing, and analyzes and processes shapes at a high level. It focuses more on the global inter and intra semantic relations among the parts of shape rather than on their local geometry. With recent developments in easy shape acquisition, access to vast repositories of 3D models, and simple-to-use desktop fabrication possibilities, the study of structure in shapes has become a central research topic in shape analysis, editing, and modeling. A whole new line of structure-aware shape processing algorithms has emerged that base their operation on an attempt to understand such structure in shapes. The algorithms broadly consist of two key phases: an analysis phase, which extracts structural information from input data;and a (smart) processing phase, which utilizes the extracted information for exploration, editing, and synthesis of novel shapes. In this survey paper, we organize, summarize, and present the key concepts and methodological approaches towards efficient structure-aware shape processing. We discuss common models of structure, their implementation in terms of mathematical formalism and algorithms, and explain the key principles in the context of a number of state-of-the-art approaches. Further, we attempt to list the key open problems and challenges, both at the technical and at the conceptual level, to make it easier for new researchers to better explore and contribute to this topic. Our goal is to both give the practitioner an overview of available structure-aware shape processing techniques, as well as identify future research questions in this important, emerging, and fascinating research area.

关键词： Semantics

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Preface

Proceedings of the 11th European Conference on Games Based L...

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Proceedings of the 11th European Conference on Games Based Learning, ECGBL 2017 2017年 viii-x页

作者： Pivec, Maja Gründler, Josef Admiraal, Wilfried Alemi, Minoo All, Anissa Almeida, Ana Amresh, Ashish Arnab, Sylvester Ask, Kristine Avouris, Nikolaos Awwal, Nafisa Hauge, Jannicke Baalsrud Badau, Dana Barata, Ana Barendregt, Wolmet Basaiawmoit, Rajiv Bellotti, Francesco Blanchfield, Peter Borit, Melania Boskic, Natasha Boyle, Liz Brady, Mairead Bratitsis, Tharrenos Brinch, Sara Brom, Cyril Brooks, Anthony Brown, David Brox, Ellen Busch, Carsten Caldeira, Carlos Callies, Sophie Cardoso, Tiago Carron, Thibault Casimir, Rommert De Castro, António Vieira Chang, Maiga Charalambis, Dimitris Charles, Darryl Charlier, Nathalie Chee, Yam San Chen, Ming-Puu Chiarello, Fabio Connolly, Thomas Crockett, Larry Darwish, Tamer Sigurdardottir, Helga Deliyannis, Ioannis Demirbilek, Muhammet Sigurdardottir, Helga Dis Duin, Heiko Dyer, Ronald Edgar, David Ejsing-Duun, Stine Escudeiro, Paula Felicia, Patrick Fesakis, Georgios Figueira, Ana Paula Fotaris, Panagiotis Fujimoto, Toru George, Sebastien Georgiadis, Panagiotis Gerodetti, Natalia Giannakoulopoulos, Andreas Gjedde, Lisa Goebel, Stefan Gomez-Martin, Pedro Pablo Gouscos, Dimitris Grigoriadou, Maria Guralnick, David Guttormsgaard, Vibeke Habgood, Jacob Hainey, O. Hanghoj, Thorkild Hawlitschek, Anja Hemben, Terseer Hlavacs, Helmut Hommedal, Silje Hole Hollins, Paul Idrus, Rozhan Wang, Alf Inge Ismail, Marina Jans, Ruben Juzeleniene, Saule Kalavassis, Fragiskos Kalogiannakis, Michail Karakostas, Anastasios Katzlinger-Felhofer, Elisabeth Ketamo, Harri Ketelhut, Diane Jass Kickmeier-Rust, Michael Kiili, Kristian Koeppen, Veit Kolås, Line Kordaki, Maria Korkut, Safak Kourti, Evangelia Li, Ken Lukosch, Heide MaCleod, Hamish Magnussen, Rikke Majgaard, Gunver Marchetti, Emanuela Marques, Bertil Marty, Jean-Charles Marzantowicz, Lukasz Mehm, Florian Meimaris, Michail Michel, Christine Moffat, David Montero-Fleta, Begoña Moseley, Alexander Mota, Dulce Mozelius, Peter Nadolski, Rob Nelson, Brian Neville, Karen Ng, Annie W.Y. Nixon, Darren Nocchi, Susanna Broin, Daire O. O'Mullane, John Skev Leiden University Leiden Netherlands Sharif University of Technology Iran IMinds-MICT-Ghent University Belgi Belgium Universidade de Coimbra Portugal Arizona State University United States Coventry University United Kingdom Norway University of Patras Greece University of Melbourne Australia Bremer Institut for Produktion und Logistik Germany University of Medicine and Pharmacy of Targu Mures Romania Portugal Gothenburg University Department of Applied IT Sweden Aarhus University Denmark University of Genoa Italy School of Computer Science University of Nottingham United Kingdom UiT - The Arctic Univeristy of Norway University of Troms Norway University of British Columbia Canada Univesity of the West of Scotland United Kingdom Open University of Cyprus Greece ESCP Europe France Trinity College Dublin Ireland University of Western Macedonia Greece KDU University College Malaysia Charles University Prague Czech Republic Aalborg University Denmark Nottingham Trent University United Kingdom Nord-Trøndelag University College Steinkjer Norway University of Applied Sciences HTW-Berlin Germany University of Evora Portugal UQAM Canada Universidade Nova de Lisboa Portugal LIP6 - Paris Université de Savoie France Tilburg University Netherlands Open University of the Natherlands Nederland United States Athabasca University Canada University of Athens Greece University of Ulster United Kingdom Catholic University of Leuven Belgium Nanyang Technological University Singapore Singapore National Taiwan Normal University Taiwan Italy University of West of Scotland United Kingdom Augsburg College United States Brunel University United Kingdom Ionian University Greece Suleyman Demirel University Turkey Glamorgan University United Kingdom BIBA - Bremer Institut for Produktion und Logistik GmbH Germany Managment School University of Liverpool United Kingdom Glasgow Caledonian University United Kingdom Aalborg Univ. Copenhagen Denmark Portugal Waterford Institute of

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