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

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Combining physical and semantical navigation in three-dimensional information visualization

Combining physical and semantical navigation in three-dimens...

引用

conference on visualization and data analysis 2002

作者： dos Santos, CR Gros, P Abel, P Inst Eurecom F-06904 Sophia Antipolis France

ISBN: (纸本)0819444057

The field of information visualization is in permanent expansion and new and innovative ways of visualizing large volumes of abstract data are being developed. The use of virtual metaphoric worlds is one of them, but these visualizations per se are only truly useful if the user is provided a means of exploring the information. A common way of data exploration is navigation. In the case of three-dimensional (3D) information visualization, navigation as a means of information exploration attains even more importance due to the extra exploitable dimension. Nonetheless, navigation in large virtual worlds is still a difficult task and not only for naive users, there is anecdotal evidence that electronic navigation is considered difficult even by the virtual worlds builders. Wayfinding, "knowing where to go", is sometimes perceived as the hardest part;other times, it is the locomotion, "getting there", that is found difficult. This paper presents a navigation strategy that attempts to solve these problems by combining physical/metaphoric navigation with semantic navigation. We present a framework for navigating large virtual worlds that relies heavily on the use of visual metaphors. The combination of physical and semantic navigation embedded in the metaphor components allows for a powerful data exploration and electronic navigation mechanism.

关键词： navigation 3D information visualization visual metaphors semantical navigation metaphoraware navigation

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Multiple visual representation of temporal data 13th

Multiple visual representation of temporal data

引用

13th International conference on database and Expert Systems Applications, DEXA 2002

作者： Daassi, Chaouki Fauvet, Marie-Christine Nigay, Laurence Laboratoire CLIPS-IMAG BP 53-38041 Grenoble cedex 9 France Laboratoire LSR-IMAG BP 53-38041 Grenoble cedex 9 Grenoble France The University of New South Wales SydneyNSW2052 Australia

ISBN: (纸本)3540441263

Temporal data are abundantly present in many applications such as banking, financial, clinical, geographical applications and so on. For a long time, tools for data analysis have been only based on statistics. A more recent and complementary research avenue involves visual data analysis, which is dedicated to the extraction of valuable knowledge by exploiting human visual perception capabilities. Examples of visual data analysis tasks, while manipulating temporal data, include correlating data evolution and identifying patterns. In this paper we present an interactive visualisation tool named INVEST, dedicated to visual analysis of temporal data. INVEST includes different visualization techniques in order to address the variety of users' tasks. © Springer-Verlag Berlin Heidelberg 2002.

关键词： visualization

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Region wide automatic visual search and pursuit surveillance system of vehicles and people using networked intelligent cameras 6

Region wide automatic visual search and pursuit surveillance...

引用

6th International conference on Signal Processing

作者： Liu, ZH Komiya, K Kanagawa Inst Technol Dept Informat Network Engn Atsugi Kanagawa 2430292 Japan

ISBN: (纸本)0780374886

visual surveillance systems are often installed in concourses, car park areas and high security sites to monitor the flow of pedestrians and vehicles for security and data analysis. The job of monitoring image sequences is usually assigned to a human operator who waits for important events or specially appointed objects to occur. Operators become bored and lose concentration. It is therefore essential to devise autonomous surveillance systems, which can search and track appointed objects in a wide region and alert a human operator only when appointed objects appear in these watched areas. We report a study on a new region-wide automatic visual search and pursuit surveillance system for appointed objects using networks. By processing image sequences on the basis of object properties, such color and shape (vehicle) or height and gait (pedestrian), the system can search, recognize and track the appointed object. The system uses multiple cameras and every camera carries a set of software. We explain the integrated software system and show an experiment system and experimental results. The system recognizes objects region-wide by using a network. Correct classification yields are 92% for vehicles, 64% for pedestrians. The system is able to process about 2 frames per second.

关键词： Surveillance Intelligent networks Intelligent vehicles Smart cameras data security Monitoring Image sequences Humans Remotely operated vehicles data analysis

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Automatic landmarking for building biological shape models

Automatic landmarking for building biological shape models

引用

IEEE International conference on Image Processing

作者： Hicks, Y Marshall, D Martin, RR Rosin, PL Bayer, MM Mann, DG Cardiff Univ Dept Comp Sci Cardiff S Glam Wales

ISBN: (纸本)0780376226

In this article we present a new method for automatic landmark extraction from the contours of biological specimens. Our ultimate goal is to enable automatic identification of biological specimens in photographs and drawings held in a database. We propose to use Active Appearance Models for visual indexing of both photographs and drawings. Automatic landmark extraction will assist us in building the models. Below we describe the results of using our method on drawings and photographs of examples of diatoms, and present an Active Shape Model built using automatically extracted data.

关键词： Image analysis

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Using GYPSIE, GYNGER and visual GNY to analyze cryptographic protocols in SPEAR ii

Using GYPSIE, GYNGER and Visual GNY to analyze cryptographic...

引用

IFIP TC11 WG11.1/WG11.2 8th Annual Working conference on Information Security Management and Small Systems Security

作者： Saul, Elton Hutchison, Andrew Data Network Architectures Laboratory University of Cape Town South Africa

ISBN: (纸本)0792375068

The development of cryptographic logics to analyze security protocols has provided one technique for ensuring the correctness of these protocols. However, it is commonly acknowledged that analysis using a modal logic such as GNY tends to be inaccessible and obscure for the uninitiated. In this paper we describe the SPEAR ii graphically-based security protocol engineering environment that can be used to easily conduct GNY analyses. SPEAR ii consists of three primary components: a protocol specification environment (GYPSIE), a GNY statement construction interface (visual GNY) and a Prolog-based GNY analysis engine (GYNGER). In contrast to other tools, SPEAR ii offers a multi-dimensional approach to protocol engineering, integrating protocol design and analysis into one consistent and unified interface. The interface and techniques used within this tool are built on the foundation of previous experience with the original SPEAR tool and GNY analysis research. We also show how the SPEAR ii tool is used to conduct a GNY analysis and how it distances protocol engineers from any associated syntactical issues, allowing them to focus more on the associated semantics and distil the critical issues that arise. By freeing individuals to focus on an analysis, instead of hampering them with the necessary syntax, we can ensure that the fundamental concepts and advantages related to GNY analysis are kept in mind and applied as well.

关键词： Semantics

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Query, analysis, and visualization of hierarchically structured data using polaris

Query, analysis, and visualization of hierarchically structu...

引用

KDD - 2002 Proceedings of the Eight ACM SIGKDD International conference on Knowledge Discovery and data Mining

作者： Stolte, Chris Tang, Diane Hanrahan, Pat Gates Building Room 354 3A Stanford CA 94305 United States Gates Building Room 370 3B Stanford CA 94305 United States

In the last several years, large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing. To support interactive analysis, many of these databases are augmented with hierarchical structures that provide meaningful levels of abstraction that can be leveraged by both the computer and analyst. This hierarchical structure generates many challenges and opportunities in the design of systems for the query, analysis, and visualization of these databases. In this paper, we present an interactive visual exploration tool that facilitates exploratory analysis of data warehouses with rich hierarchical structure, such as might be stored in data cubes. We base this tool on Polaris, a system for rapidly constructing table-based graphical displays of multidimensional databases. Polaris builds visualizations using an algebraic formalism derived from the interface and interpreted as a set of queries to a database. We extend the user interface, algebraic formalism, and generation of data queries in Polaris to expose and take advantage of hierarchical structure. In the resulting system, analysts can navigate through the hierarchical projections of a database, rapidly and incrementally generating visualizations for each projection.

关键词： Relational database systems

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Workload design: Selecting representative program-input pairs

Workload design: Selecting representative program-input pair...

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International conference on Parallel Architectures and Compilation Techniques

作者： Eeckhout, L Vandierendonck, H De Bosschere, K Univ Ghent Dept Elect & Informat Syst ELIS B-9000 Ghent Belgium

ISBN: (纸本)0769516203

Having a representative work-load of the target domain of a microprocessor is extremely important throughout its design. The composition of a workload involves two issues: (i) which benchmarks to select and (ii) which input data sets to select per benchmark. Unfortunately, it is impossible to select a huge number of benchmarks and respective input sets due to the large instruction counts per benchmark and due to limitations on the available simulation time. In this paper, we use statistical data analysis techniques such as principal components analysis (PCA) and cluster analysis to efficiently explore the workload space. Within this workload space, different input data sets for a given benchmark can be displayed, a distance can be measured between program-input pairs that gives us an idea about their mutual behavioral differences and representative input data sets can be selected for the given benchmark. This methodology is validated by showing that program-input pairs that are close to each other in this workload space indeed exhibit similar behavior. The final goal is to select a limited set of representative benchmark-input pairs that span the complete workload space. Next to workload composition, there are a number of other possible applications, namely getting insight in the impact of input data sets on program behavior and profile-guided compiler optimizations.

关键词： data analysis Design optimization Extraterrestrial measurements Information systems Microprocessors Optimizing compilers Principal component analysis Program processors Space exploration Time to market

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A model for the visualization exploration process

A model for the visualization exploration process

引用

VIS 2002, IEEE visualisation 2002

作者： Jankun-Kelly, T.J. Ma, Kwan-Liu Gertz, Michael Visualization and Graphics Res. Grp. Center for IPIC University of California Davis CA 95616 United States Database and Information Syst. Group Computer Science Department University of California Davis CA 95616 United States

The current state of the art in visualization research places a strong emphasis on different techniques to derive insight from disparate types of data. However, little work has investigated the visualization process itself. The information content of the visualization process-the results, history, and relationships between those results-is addressed by this work. A characterization of the visualization process is discussed, leading to a general model of the visualization exploration process. The model, based upon a new parameter derivation calculus, can be used for automated reporting, analysis, or visualized directly. An XML-based language for expressing visualization sessions using the model is also described. These sessions can then be shared and reused by collaborators. The model, along with the XML representation, provides an effective means to utilize the information within the visualization process to further data exploration.

关键词： visualization

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Towards retrieval of visual information based on the semantic models 13th

Towards retrieval of visual information based on the semanti...

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13th International conference on database and Expert Systems Applications, DEXA 2002

作者： Park, Youngchoon Kim, Pankoo Kim, Wonpil Song, Jeongjun Panchanathan, Sethuraman Department of Computer Engineering College of Electronics and Information Chosun University Kwangju Korea Republic of Department of Computer Science and Engineering Arizona State University TempeAZ 85287-5406 United States

ISBN: (纸本)3540441263

Most users want to find visual information based on the semantics of visual contents such as a name of person and an action happening in a scene. However, techniques for content-based image or video retrieval are not mature enough to recognize visual semantic completely. This paper concerns the problem of automated visual content classification that allows semantic exploration of the visual information. To enable semantic based image or visual object retrieval, we propose a new image representation scheme called visual context descriptor (VCD) that is a multidimensional vector in which each element represents the frequency of a unique visual property of an image or a region. VCD utilizes the predetermined quality dimensions (i.e., types of features and quantization levels) and semantic model templates mined in priori. Techniques for creating symbolic representation (called visual term) of visual content and semantic model profile mining and matching have also been explored. The proposed model classification technique utilizes contextual relevance of a visual term to a target semantic class in visual object discrimination. Contextual relevance of a visual cue to a semantic class is determined by using correlation analysis of ground truth samples. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Semantics

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Time-interval sampling for improved estimations in data warehouses

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4th International conference on data Warehousing and Knowledge Discovery, DaWaK 2002

作者： Furtado, Pedro Costa, João Pedro Dep. Engenharia Informática Universidade de Coimbra Polo II Pinhal de Marrocos 3030 Coimbra Portugal Dep. Informática e de Sistemas Instituto Superior de Engenharia de Coimbra Quinta da Nora Rua Pedro Nunes 3030-119 Coimbra Portugal

ISBN: (纸本)3540441239

In large data warehouses it is possible to return very fast approximate answers to user queries using pre-computed sampling summaries well-fit for all types of exploration analysis. However, their usage is constrained by the fact that there must be a representative number of samples in grouping intervals to yield acceptable accuracy. In this paper we propose and evaluate a technique that deals with the representation issue by using time interval-biased stratified samples (TISS). The technique is able to deliver fast accurate analysis to the user by taking advantage of the importance of the time dimension in most user analysis. It is designed as a transparent middle layer, which analyzes and rewrites the query to use a summary instead of the base data warehouse. The estimations and error bounds returned using the technique are compared to those of traditional sampling summaries, to show that it achieves significant improvement in accuracy. © 2002 Springer-Verlag Berlin Heidelberg.

关键词： data warehouses

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