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检索条件"任意字段=Conference on Visual Data Exploration and Analysis II"

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visual exploration of large-scale evolving software

Visual exploration of large-scale evolving software

引用

International conference on Software Engineering - Companion, ICSE, Companion

作者： Richard Wettel REVEAL at Faculty of Informatics University of Lugano Switzerland

The comprehensive understanding of today's software systems is a daunting activity, because of the sheer size and complexity that such systems exhibit. Moreover, software systems evolve, which dramatically increases the amount of data one needs to analyze in order to gain insights into such systems. Indeed, software complexity is recognized as one of the major challenges to the development and maintenance of industrial-size software projects. Our vision is a 3D visualization approach which helps software engineers build knowledge about their systems. We settled on an intuitive metaphor, which depicts software systems as cities. To validate the ideas emerging from our research, we implemented a tool called CodeCity. We devised a set of visualization techniques to support tasks related to program comprehension, design quality assessment, and evolution analysis, and applied them on large open-source systems written in Java, C++, or Smalltalk. Our next research goals are enriching our metaphor with meaningful representations for relations and encoding higher-level information.

关键词： Large-scale systems Software systems Software maintenance Computer industry data visualization Knowledge engineering Cities and towns Quality assessment Open source software Java

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Handwritten Word Image Retrieval with Synthesized Typed Queries

Handwritten Word Image Retrieval with Synthesized Typed Quer...

引用

International conference on Document analysis and Recognition

作者： José A. Rodríguez-Serrano Florent Perronnin Computer Vision Centre Universitat Authnòma de Barcelona Spain Textual and Visual Pattern Analysis Xerox Research Centre Europe France

We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained ldquoon the flyrdquo with images rendered from the searched words in one or multiple computer fonts. To reduce the mismatch between the typed-text prototypes and the candidate handwritten images, we make use of: (i) local gradient histogram(LGH) features, which were shown to model word shapes robustly, and (ii) semi-continuous hidden Markov models(SC-HMM), in which the typed-text models are constrained to a ldquovocabularyrdquo of handwritten shapes, thus learning a link between both types of data. Experiments show that the proposed method is effective in retrieving handwritten words, and the comparison to alternative methods reveals that the contribution of both the LGH features and the SCHMM is crucial. To the best of the authorspsila knowledge, this is the first work to address this issue in a non-trivial manner.

关键词： Image retrieval Hidden Markov models Prototypes Shape Robustness Pattern analysis Handwriting recognition Rendering (computer graphics) Writing Text analysis

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Navigation and Browsing of Image databases

Navigation and Browsing of Image Databases

引用

International conference of Soft Computing and Pattern Recognition (SOCPAR)

作者： William Plant Gerald Schaefer School of Engineering and Applied Science Aston University UK Department of Computer Science Loughborough University UK

Image collections are growing at an exponential rate and solutions to manage vast databases of images are hence highly sought after. Content-based image retrieval techniques have shown great potential, yet commonly employed approaches like query-by-example are only of limited usefulness. An interesting alternative is provided by systems that allow visual exploration of an image dataset through a browsing interface. In these methods the complete database, or parts thereof, is visualised through application of dimensionality reduction techniques, clustered visualisations or display of a graph structure. Once visualised, it should then be possible to browse through the collection in an interactive, intuitive and efficient way. In this paper we present various browsing techniques that can be employed for this purpose. Browsing can be achieved in several ways. We can distinguish between horizontal browsing which works on images of the visualisation plane, and includes operations such as panning, zooming, magnification and scaling, and vertical browsing which allows navigation to a different level of a hierarchically organised visualisation. Furthermore, browsing can also be accomplished by taking into account time stamp information, hence enabling temporal browsing. We conclude, highlighting the need for objective evaluation and benchmarking of browsing system and see one of the next research challenges in the development of effective image browsing tools for mobile devices.

关键词： Navigation Image databases visualization Image retrieval visual databases Information retrieval Content based retrieval Principal component analysis Pattern recognition data engineering

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LivOlay: Interactive Ad-Hoc Registration and Overlapping of Applications for Collaborative visual exploration 08

LivOlay: Interactive Ad-Hoc Registration and Overlapping of ...

引用

26th Annual CHI conference on Human Factors in Computing Systems

作者： Jiang, Hao Wigdor, Daniel Forlines, Clifton Borkin, Michelle Kauffmann, Jens Shen, Chia Mitsubishi Elect Res Labs Cambridge MA USA

ISBN: (纸本)9781605580111

The interoperability of disparate data types and sources has been a long standing problem and a hindering factor for the efficacy and efficiency in visual exploration applications. In this paper, we present a solution, called LivOlay, which enables the rapid visual overlay of live data rendered in different applications. Our tool addresses datasets in which visual registration of the information is necessary in order to allow for thorough understanding and visual analysis. We also discuss initial evaluation and user feedback of LivOlay.

关键词： Shared display groupware visual exploration

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A visual Analytics Approach to exploration of Large Amounts of Movement data

A Visual Analytics Approach to Exploration of Large Amounts ...

引用

10th International conference on visual Information Systems

作者： Andrienko, Gennady Andrienko, Natalia Fraunhofer Institute Intelligent Analysis and Information Systems Germany

No abstract available

ISBN: (纸本)9783540858904

No abstract available

关键词：

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visual analysis and exploration of complex corporate shareholder networks

Visual analysis and exploration of complex corporate shareho...

引用

conference on visualization and data analysis 2008

作者： Tekusova, Tatiana Kohlhammer, Joern Fraunhofer IGD Darmstadt Germany Tech Univ Darmstadt Darmstadt Germany

ISBN: (纸本)9780819469816

The analysis of large corporate shareholder network structures is an important task in corporate governance, in financing, and in financial investment domains. In a modem economy, large structures of cross-corporation, cross-border shareholder relationships exist, forming complex networks. These networks are often difficult to analyze with traditional approaches. An efficient visualization of the networks helps to reveal the interdependent shareholding formations and the controlling patterns. In this paper, we propose an effective visualization tool that supports the financial analyst in understanding complex shareholding networks. We develop an interactive visual analysis system by combining state-of-the-art visualization technologies with economic analysis methods. Our system is capable to reveal patterns in large corporate shareholder networks, allows the visual identification of the ultimate shareholders, and supports the visual analysis of integrated cash flow and control rights. We apply our system on an extensive real-world database of shareholder relationships, showing its usefulness for effective visual analysis.

关键词： visual data analysis visual analytics applications information visualization graph visualization shareholder structures

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Multivariate visual Explanation for High Dimensional datasets

Multivariate Visual Explanation for High Dimensional Dataset...

引用

IEEE Symposium on visual Analytics Science and Technology

作者： Barlowe, Scott Zhang, Tianyi Liu, Yujie Yang, Jing Jacobs, Donald Univ N Carolina Dept Comp Sci Charlotte NC 28223 USA Univ N Carolina Dept Phys & Opt Sci Charlotte NC 28223 USA

ISBN: (纸本)9781424429356

Understanding multivariate relationships is an important task in multivariate data analysis. Unfortunately, existing multivariate visualization systems lose effectiveness when analyzing relationships among variables that span more than a few dimensions. We present a novel multivariate visual explanation approach that helps users interactively discover multivariate relationships among a large number of dimensions by integrating automatic numerical differentiation techniques and multidimensional visualization techniques. The result is an efficient workflow for multivariate analysis model construction, interactive dimension reduction, and multivariate knowledge discovery leveraging both automatic multivariate analysis and interactive multivariate data visual exploration. Case studies and a formal user study with a real dataset illustrate the effectiveness of this approach.

关键词： visual analysis multivariate analysis dimension reduction multivariate model construction multivariate visualization

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visual Mining of Multimedia data for Social and Behavioral Studies

Visual Mining of Multimedia Data for Social and Behavioral S...

引用

IEEE Symposium on visual Analytics Science and Technology

作者： Yu, Chen Zhong, Yiwen Smith, Thomas Park, Ikhyun Huang, Weixia Indiana Univ Bloomington IN 47405 USA

ISBN: (纸本)9781424429356

With advances in computing techniques, a large amount of high-resolution high-quality multimedia data (video and audio, etc.) has been collected in research laboratories in various scientific disciplines, particularly in social and behavioral studies. How to automatically and effectively discover new knowledge from rich multimedia data poses a compelling challenge since state-of-the-art data mining techniques can most often only search and extract pre-defined patterns or knowledge from complex heterogeneous data. In light of this, our approach is to take advantages of both the power of human perception system and the power of computational algorithms. More specifically, we propose an approach that allows scientists to use data mining as a first pass, and then forms a closed loop of visual analysis of current results followed by more data mining work inspired by visualization, the results of which can be in turn visualized and lead to the next round of visual exploration and analysis. In this way, new insights and hypotheses gleaned from the raw data and the current level of analysis can contribute to further analysis. As a first step toward this goal, we implement a visualization system with three critical components: (1) A smooth interface between visualization and data mining. The new analysis results can be automatically loaded into our visualization tool. (2) A flexible tool to explore and query temporal data derived from raw multimedia data. We represent temporal data into two forms - continuous variables and event variables. We have developed various ways to visualize both temporal correlations and statistics of multiple variables with the same type, and conditional and high-order statistics between continuous and event variables. (3) A seamless interface between raw multimedia data and derived data. Our visualization tool allows users to explore, compare, and analyze multi-stream derived variables and simultaneously switch to access raw multimedia data. We de

关键词： visual data mining multimedia data

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visual olap: A new paradigm for exploring multidimensional aggregates

Visual olap: A new paradigm for exploring multidimensional a...

引用

Computer Graphics and visualization 2008 and Gaming 2008: Design for Engaging Experience and Social Interaction 2008, MCCSIS'08 - IADIS Multi conference on Computer Science and Information Systems

作者： Mansmann, Svetlana Scholl, Marc H. University of Konstanz Box D188 78457 Konstanz Germany

ISBN: (纸本)9789728924638

OLAP (On-Line Analytical Processing) technology provides interactive query-driven analysis of accumulated and consolidated business data for the purpose of decision-making and knowledge extraction. visualization is increasingly used as the means of gaining insight into huge data volumes of multidimensional data as the former exploits the profound ability of the human vision system to recognize patterns. This paper describes a new generation of analysis tools, characterized as visual OLAP and based on the emerging visual exploration paradigm. In contrast to conventional tools that employ visualization primarily as user-friendly data presentation, visual OLAP turns visualization into the key method for both query specification and exploratory analysis. We propose a comprehensive visual exploration framework, which implements OLAP operations in form of powerful data navigation and allows users to explore data using a variety of interactive visualization techniques. A taxonomy of visual metaphors, from classical business charts to advanced 3D, multiscale, and hierarchical layouts accounts for different types of analytical tasks. A unified framework is obtained by abstracting various visualization options into a common presentation model and providing algorithms for mapping user interactions to database queries as well as mapping query results to a specified visual layout. © 2008 IADIS.

关键词： visualization

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Supporting visual exploration of massive movement data 08

Supporting visual exploration of massive movement data

引用

Working conference on Advanced visual Interfaces, AVI 08

作者： Andrienko, Natalia Andrienko, Gennady Schloss Birlinghoven 53754 Sankt Augustin Germany

ISBN: (纸本)9781605581415

To make sense from large amounts of movement data (sequences of positions of moving objects), a human analyst needs interactive visual displays enhanced with database operations and methods of computational analysis. We present a toolkit for analysis of movement data that enables a synergistic use of the three types of techniques. Copyright 2008 ACM.

关键词： visualization

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