检索结果-内蒙古大学图书馆

An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis

An End-to-end Environment for Research Question-Driven Entit...

Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, SIGHUM 2017

作者： Blessing, Andre Echelmeyer, Nora John, Markus Reiter, Nils Institute for Natural Language Processing Stuttgart University Germany Institute for Literary Studies Stuttgart University Germany Institute for Visualization and Interactive Systems Stuttgart University Germany

ISBN: (纸本)9781945626586

This paper presents an approach to extract co-occurrence networks from literary texts. It is a deliberate decision not to aim for a fully automatic pipeline, as the literary research questions need to guide both the definition of the nature of the things that co-occur as well as how to decide co-occurrence. We showcase the approach on a Middle High German romance, Parzival. Manual inspection and discussion shows the huge impact various choices have. © 2017 Association for Computational Linguistics

关键词：

来源：评论

学校读者我要写书评

暂无评论

Gamification of production? A study on the acceptance of gamified work processes in the automotive industry

Gamification of production? A study on the acceptance of gam...

引用

International Conference on Affective and Pleasurable Design, 2016

作者： Korn, Oliver Muschick, Peter Schmidt, Albrecht Offenburg University Badstr. 24 Offenburg77652 Germany Institute for Visualization and Interactive Systems University of Stuttgart Pfaffenwaldring 5a Stuttgart70569 Germany

ISBN: (纸本)9783319416601

In this work, we investigate how gamification can be integrated into work processes in the automotive industry. The contribution contains five parts: (1) An introduction showing how gamification has become increasingly common, especially in education, health and the service industry. (2) An analysis on the state of the art of gamified applications, discussing several best practices. (3) An analysis of the special requirements for gamification in production, regarding both external norms and the mindset of workers in this domain. (4) An overview of first approaches towards a gamification of production, focusing on solutions for impaired workers in sheltered work organizations. (5) A study with a focus group of instructors at two large car manufacturers. Based on the presentation of three potential designs for the gamification of production, the study investigates the general acceptance of gamification in modern production and determines which design is best suited for future implementations. © Springer International Publishing Switzerland 2017.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

Mining subtitles for real-time content generation for second-screen applications 16

Mining subtitles for real-time content generation for second...

引用

3rd ACM International Conference on interactive Experiences for TV and Online Video, TVX 2016

作者： Knittel, Johannes Dingler, Tilman Institute for Visualization and Interactive Systems University of Stuttgart Germany

ISBN: (纸本)9781450340670

Using mobile devices while watching TV is becoming increasingly common. Most of the so-called second-screen apps provide additional information and services for a specific TV program. App content is mostly manually curated by the program or app publishers. In this paper we present an approach for automatically extracting keywords from subtitles in order to retrieve and provide highly relevant additional program content. Over the course of 4 months we recorded more than 45.000 hours of TV shows, on which we based an entity linking algorithm to extract relevant keywords and automatically trigger Wikipedia look-ups. Our system includes a second-screen app which proactively displays these contents with hindsight to time and position in the current TV show. We then conducted a user study with 30 participants investigating the relationship between app usage while watching documentaries and effects on comprehension, recall, and subjective experience. We confirmed user distraction while using the app, but noticed an increase in subjectively reported comprehension compared to when users triggered web-searches via a smartphone browser. The content extracted, linked and proactively presented by our system turned out to be highly relevant. ©2016, Association for Computing Machinery, Inc. All rights reserved.

关键词： Application programs

来源：评论

学校读者我要写书评

暂无评论

Combining shape from shading and stereo: A variational approach for the joint estimation of depth, illumination and albedo 27

Combining shape from shading and stereo: A variational appro...

引用

27th British Machine Vision Conference, BMVC 2016

作者： Maurer, Daniel Ju, Yong Chul BreuΒ, Michael Bruhn, Andr S Institute for Visualization and Interactive Systems University of Stuttgart Germany Institute for Applied Mathematics and Scientific Computing BTU Cottbus-Senftenberg Germany

Shape from shading (SfS) and stereo are two fundamentally different strategies for image-based 3-D reconstruction. While approaches for SfS infer the depth solely from pixel intensities, methods for stereo are based on a matching process that establishes correspondences across images. In this paper we propose a joint variational method that combines the advantages of both strategies. By integrating recent stereo and SfS models into a single minimisation framework, we obtain an approach that exploits shading information to improve upon the reconstruction quality of robust stereo methods. To this end, we fuse a Lambertian SfS approach with a robust stereo model and supplement the resulting energy functional with a detail-preserving anisotropic second-order smoothness term. Moreover, we extend the novel model in such a way that it jointly estimates depth, albedo and illumination. This in turn makes it applicable to objects with non-uniform albedo as well as to scenes with unknown illumination. Experiments for synthetic and real-world images show the advantages of our combined approach: While the stereo part overcomes the albedo-depth ambiguity inherent to all SfS methods, the SfS part improves the degree of details of the reconstruction compared to pure stereo methods. © 2016. The copyright of this document resides with its authors.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

UbiBeam++: Augmenting interactive projection with head-mounted displays 16

UbiBeam++: Augmenting interactive projection with head-mount...

引用

9th Nordic Conference on Human-Computer Interaction, NordiCHI 2016

作者： Knierim, Pascal Funk, Markus Kosch, Thomas Fedosov, Anton Muller, Tamara Schopf, Benjamin Weise, Marc Schmidt, Albrecht Institute for Visualization and Interactive Systems University of Stuttgart Stuttgart Germany Universitfia della Svizzera Italiana Faculty of Informatics Lugano Switzerland

ISBN: (纸本)9781450347631

interactive tabletops or projections became widely utilized in schools, museum exhibitions or conference rooms to teach and illustrate dynamic artifacts or support talks. In such scenarios, all observers, such as pupils and teachers, will perceive the same information even if they hold different positions and could benefit from an adapted and personalized view. We developed the UbiBeam++ mixed reality software toolkit to enable augmentation of an interactive projection surface using optical see-Through glasses. Our toolkit supports simultaneous presentation of private, shared, and public content. Private and shared content is registered in space and presented through a head-mounted display, while public content is presented by a projector. Our toolkit simplifies the development of interactive projections with different visualization levels. In a preliminary study, participants understood the concept of personalized information space and appreciated the presentation of additional information. Looking forward, our toolkit supports the development and the exploration of various scenarios not only limited to teaching, presentations or games. © 2016 ACM.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

Saccadelenses: interactive exploratory filtering of eye tracking trajectories

Saccadelenses: interactive exploratory filtering of eye trac...

引用

IEEE Workshop on Eye Tracking and visualization (ETVIS)

作者： Robert Krueger Steffen Koch Thomas Ertl Institute for Visualization and Interactive Systems University of Stuttgart

ISBN: (纸本)9781509047321

Eye tracking is used to understand the way a viewer perceives a visual stimulus. Visual analytical means can help to gain insights in the recorded data. However, the analysis of eye movement is challenging as they do not follow any underlying network. Hence, unfiltered and detailed visualization of this data often suffers from cluttering and overplotting, which hampers pattern detection. To tackle these issues, we adapt an existing interactive filtering approach for geographic trajectory data and apply it to eye tracking trajectories. It allows to narrow down the data for a local analysis of different fixation patterns and eye movement between fixations, while exploring them directly the spatial context of the stimulus. In a case study we describe the application of our approach on an eye tracking experiment using a static stimulus with data recorded from eight participants.

关键词： Lenses Trajectory Gaze tracking Data visualization visualization Image color analysis Filtering

来源：评论

学校读者我要写书评

暂无评论

Biomedical image analysis competitions: The state of current participation practice

arXiv

引用

arXiv 2022年

作者： Eisenmann, Matthias Reinke, Annika Weru, Vivienn Tizabi, Minu Dietlinde Isensee, Fabian Adler, Tim J. Godau, Patrick Cheplygina, Veronika Kozubek, Michal Maier-Hein, Klaus Jäger, Paul F. Kopp-Schneider, Annette Maier-Hein, Lena Ali, Sharib Gupta, Anubha Kybic, Jan Noble, Alison de Solórzano, Carlos Ortiz Pachade, Samiksha Petitjean, Caroline Sage, Daniel Wei, Donglai Wilden, Elizabeth Alapatt, Deepak Andrearczyk, Vincent Baid, Ujjwal Bakas, Spyridon Balu, Niranjan Bano, Sophia Bawa, Vivek Singh Bernal, Jorge Bodenstedt, Sebastian Casella, Alessandro Choi, Jinwook Commowick, Olivier Daum, Marie Depeursinge, Adrien Dorent, Reuben Egger, Jan Eichhorn, Hannah Engelhardt, Sandy Ganz, Melanie Girard, Gabriel Hansen, Lasse Heinrich, Mattias Heller, Nicholas Hering, Alessa Huaulmé, Arnaud Kim, Hyunjeong Li, Hongwei Bran Landman, Bennett Li, Jianning Ma, Jun Martel, Anne Martín-Isla, Carlos Menze, Bjoern Nwoye, Chinedu Innocent Oreiller, Valentin Padoy, Nicolas Pati, Sarthak Payette, Kelly Sudre, Carole van Wijnen, Kimberlin Vardazaryan, Armine Vercauteren, Tom Wagner, Martin Wang, Chuanbo Yap, Moi Hoon Yu, Zeyun Yuan, Chun Zenk, Maximilian Zia, Aneeq Zimmerer, David Bao, Rina Choi, Chanyeol Cohen, Andrew Dzyubachyk, Oleh Galdran, Adrian Gan, Tianyuan Guo, Tianqi Gupta, Pradyumna Haithami, Mahmood Ho, Edward Jang, Ikbeom Li, Zhili Luo, Zhengbo Lux, Filip Makrogiannis, Sokratis Müller, Dominik Oh, Young-Tack Pang, Subeen Pape, Constantin Polat, Gorkem Reed, Charlotte Rosalie Ryu, Kanghyun Scherr, Tim Thambawita, Vajira Wang, Haoyu Wang, Xinliang Xu, Kele Yeh, Hung Yeo, Doyeob Yuan, Yixuan Zeng, Yan Zhao, Xin Abbing, Julian Adam, Jannes Adluru, Nagesh Agethen, Niklas Ahmed, Salman Al Khalil, Yasmina Alenyà, Mireia Alhoniemi, Esa An, Chengyang Arega, Tewodros Weldebirhan Avisdris, Netanell Aydogan, Dogu Baran Bai, Yingbin Calisto, Maria Baldeon Basaran, Berke Doga Beetz, Marcel Bian, Hao Blansit, Kevin Bloch, Louise Bohnsack, Robert Bosticardo, Sara Breen, Jack Brudfors, Mikael Brüngel, Raphael Cabezas, Mariano Cacciola, Alb Heidelberg Division of Intelligent Medical Systems Germany Heidelberg HI Helmholtz Imaging Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Biostatistics Germany Heidelberg Division of Medical Image Computing Germany Heidelberg HI Applied Vision Lab Germany IT University of Copenhagen Copenhagen Denmark Centre for Biomedical Image Analysis Masaryk University Brno Czech Republic Heidelberg Interactive Machine Learning Group Germany Faculty of Mathematics and Computer Science and Medical Faculty Heidelberg University Heidelberg Germany NCT Heidelberg DKFZ University Hospital Heidelberg Germany School of Computing University of Leeds Leeds United Kingdom SBILab Department of ECE IIIT-Delhi India Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Institute of Biomedical Engineering University of Oxford United Kingdom Center for Applied Medical Research Pamplona Spain Shri Guru Gobind Singhji Institute of Engineering and Technology Maharashtra Nanded India Université de Rouen Normandie France Lausanne Switzerland School of Engineering and Applied Science Harvard University United States ICube University of Strasbourg CNRS France Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Techno-Pôle 3 Sierre3960 Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Rue du Bugnon 46 LausanneCH-1011 Switzerland University of Pennsylvania PhiladelphiaPA United States Department of Radiology University of Washington United States Wellcome EPSRC Centre for Interventional and Surgical Sciences University College London London United Kingdom Visual Artificial Intelligence Lab Oxford Brookes University Oxford United Kingdom Universitat Autònoma de Barcelona & Computer Vision Center Spain Dresden Fetscherstraße 74 PF 64 Dresden01307 Germany

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known about the common practice as well as bottlenecks faced by the community in tackling the research questions posed. To shed light on the status quo of algorithm development in the specific field of biomedical imaging analysis, we designed an international survey that was issued to all participants of challenges conducted in conjunction with the IEEE ISBI 2021 and MICCAI 2021 conferences (80 competitions in total). The survey covered participants' expertise and working environments, their chosen strategies, as well as algorithm characteristics. A median of 72% challenge participants took part in the survey. According to our results, knowledge exchange was the primary incentive (70%) for participation, while the reception of prize money played only a minor role (16%). While a median of 80 working hours was spent on method development, a large portion of participants stated that they did not have enough time for method development (32%). 25% perceived the infrastructure to be a bottleneck. Overall, 94% of all solutions were deep learning-based. Of these, 84% were based on standard architectures. 43% of the respondents reported that the data samples (e.g., images) were too large to be processed at once. This was most commonly addressed by patch-based training (69%), downsampling (37%), and solving 3D analysis tasks as a series of 2D tasks. K-fold cross-validation on the training set was performed by only 37% of the participants and only 50% of the participants performed ensembling based on multiple identical models (61%) or heterogeneous models (39%). 48% of the respondents applied postprocessing steps. © 2022, CC BY.

关键词： Benchmarking

来源：评论

学校读者我要写书评

暂无评论

Visual exploration of hierarchical data using degree-of-interest controlled by eye-tracking 9

Visual exploration of hierarchical data using degree-of-inte...

引用

9th Forum Media Technology, FMT 2016 and 2nd All Around Audio Symposium 2016

作者： Silva, Nelson Shao, Lin Schreck, T. Eggeling, Eva Fellner, Dieter W. Institute for Computer Graphics and Knowledge Visualization Graz University of Technology Austria Fraunhofer Austria Research GmbH Austria Interactive Graphics Systems Group Technische Universitaet Darmstadt Fraunhofer IGD Germany

Effective visual exploration of large data sets is an important problem. A standard technique for mapping large data sets is to use hierarchical data representations (trees, or dendrograms) that users may navigate. If the data sets get large, so do the hierarchies, and e?ective methods for the navigation are required. Traditionally, users navigate visual representations using desktop interaction modalities, including mouse interaction. Motivated by recent availability of lowcost eye-tracker systems, we investigate application possibilities to use eye-tracking for controlling the visual-interactive data exploration process. We implemented a proof-ofconcept system for visual exploration of hierarchic data, exemplified by scatter plot diagrams which are to be explored for grouping and similarity relationships. The exploration includes usage of degree-of-interest based distortion controlled by user attention read from eye-movement behavior. We present the basic elements of our system, and give an illustrative use case discussion, outlining the application possibilities. We also identify interesting future developments based on the given data views and captured eye-tracking information. Copyright © 2016 by the paper's authors.

关键词： Eye tracking

来源：评论

学校读者我要写书评

暂无评论

Implicit engagement detection for interactive museums using brain-computer interfaces 15

Implicit engagement detection for interactive museums using ...

引用

17th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2015

作者： Abdelrahman, Yomna Funk, Markus Hassib, Mariam Schmidt, Albrecht Marquez, Maria Guinea University of Stuttgart Institute for Visualization and Interactive Systems Germany

ISBN: (纸本)9781450336536

A rich museum experience is one that is engaging, educating and enjoyable to the visitors, such experiences can only be achieved by personalizing and enriching the museum experience according to the visitor's state. Neural signals from the brain can provide information about the affective and cognitive state of the person implicitly. With the rise of commercial Brain-Computer Interface devices, this technology can be utilized in extracting information to adapt various experiences to the state of the person. We propose a concept and preliminary study which uses brain signals from commercial grade Brain-Computer Interface (BCI) devices to implicitly detect museum visitors' engagement in the exhibited objects. Our concept and output of the study envision an experience where real time feedback based on visitors engagement is provided and the whole museum experience is tailored to each visitor's taste. In future work, we aim to gain external validity by testing our prototype in a museum setting.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

A real-time bidding platform for public displays 15

A real-time bidding platform for public displays

引用

4th ACM International Symposium on Pervasive Displays, PerDis 2015

作者： Dingler, Tilman Schmidt, Albrecht University of Stuttgart Institute for Visualization and Interactive Systems Germany

ISBN: (纸本)9781450336086

Undirected advertising generates huge costs for advertisers when they spend large sums on ad spaces that result in being irrelevant to consumers. In recent years Real-time Bidding (RTB) has evolved as a method for selling and buying advertising based on real-time context factors. We propose a real-time bidding platform for Public Display networks that matches publishers and their content with advertisers through an auction mechanism. Thereby we take into account context data sent by the display where the ad is being rendered, such as the number of people in front of the display, their average age, gender and whether they have been spotted before. Based on this information advertisers can dynamically place bids and thus effectively use their marketing budget to reach specific target audiences. Publishers on the other hand are guaranteed to achieve the highest price for their ad space with regards to these context factors. Our platform implements the OpenRTB standard and therefore allows Public Display networks to be integrated into existing ad network economies. We present results from initial system tests for evaluating the scalability and feasibility of our approach. © 2015 ACM.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：