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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

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A state transition approach to understanding users' interactions

A state transition approach to understanding users' interact...

引用

IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： Dong Hyun Jeong Soo-Yeon Ji William Ribarsky Remco Chang University of District of Columbia USA Bowie State University USA University of North Carolina Charlotte USA Tufts University USA

Understanding users' interactions is considered as one of the important research topics in visual analytics. Although numerous empirical user studies have been performed to understand a user's interaction, a limited study has been successful in connecting the user's interaction to his/her reasoning. In this paper, we present an approach of understanding experts' interactive analysis by connecting their interactions to conclusions (i.e. findings) through a state transition approach.

关键词： Cognition Joining processes Visual analytics data visualization Educational institutions Wires

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Locally adaptive demosaicing technique for security images based upon region-of-interest analysis

Locally adaptive demosaicing technique for security images b...

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International Carnahan conference on Security Technology

作者： Petr Dostal Milos Klima Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic

This paper presents the novel demosaicing approach that is based upon region of interest analysis. The question of if only the reconstruction quality of areas where human gazes during identification process of security objects are crucial for quality of identification is solved. Two fixation density maps were constructed on the basis of the ground through visual attention data which was acquired during an eye tracking experiment. Two security scenes containing traffic signs were used as testing images. SSIM and VIF with subjective testing were used for evaluation of reconstruction quality. The results tackle the questions - if quality of identification mainly depends on the quality of the areas where human eye is attracted, areas of interest, and whether the quality of the remaining part of image perceived by peripheral vision is crucial for quality of identification. Furthermore, the results show that embedding the information relating to these visual fixation patterns into demosaicing procedure can preserve the perceived image quality and quality of identification, while the computational complexity of proposed approach can be low.

关键词： Frequency division multiplexing Interpolation Image color analysis Image reconstruction Image quality visualization Security

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No-reference video quality metric for HDTV based on H.264/AVC bitstream features

No-reference video quality metric for HDTV based on H.264/AV...

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IEEE International conference on Image Processing

作者： Christian Keimel Manuel Klimpke Julian Habigt Klaus Diepold Institute for Data Processing Technische Universität München Munich Germany

No-reference video quality metrics are becoming ever more popular, as they are more useful in real-life applications compared to full-reference metrics. Many proposed metrics extract features related to human perception from the individual video frames. Hence the video sequences have to be decoded first, before the metrics can be applied. In order to avoid decoding just for quality estimation, we therefore present in this contribution a no-reference metric for HDTV that uses features directly extracted from the H.264/AVC bitstream. We combine these features with the results from subjective tests using a data analysis approach with partial least squares regression to gain a prediction model for the visual quality. For verification, we performed a cross validation. Our results show that the proposed no-reference metric outperforms other metrics and delivers a correlation between the quality prediction and the actual quality of 0.93.

关键词： Measurement Feature extraction Video sequences HDTV visualization Image coding data models

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Social game epitome versus automatic visual analysis

Social game epitome versus automatic visual analysis

引用

IEEE International conference on Multimedia and Expo (ICME)

作者： Peter Vajda Ivan Ivanov Lutz Goldmann Touradj Ebrahimi Institute of Electrical Engineering-IEL Ecole Polytechnique Fédérale de Lausanne-EPFL Multimedia Signal Processing Group-MMSPG Lausanne Switzerland

With the rapid growth of digital photography, sharing of photos with friends and family has become very popular. When people share their photos, they usually organize them in albums according to events or places. To tell the story of some important events in one's life, it is desirable to have an efficient summarization tool which can help people to get a quick overview of an album containing huge number of photos. In this paper, we analyze an approach for photo album summarization through a novel social game “Epitome” as a Facebook application. This social game can collect research data and, at the same time, it provides a collage or a cover photo of the user's photo album, while, at the same time, the user enjoys playing the game. As a benchmark comparison to this game, we performed automatic visual analysis considering several state-of-the-art features.

关键词： Games visualization Facebook Histograms Image color analysis Image segmentation Humans

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Time- and frequency-domain imaging of dynamics in terahertz meta-atoms

Time- and frequency-domain imaging of dynamics in terahertz ...

引用

conference on Lasers and Electro-Optics (CLEO)

作者： K. Serita J. Darmo D. Dietze H. Murakami I. Kawayama K. Unterrainer M. Tonouchi Institute of Laser Technology Osaka University Suita Osaka Japan Photonics Institute University of Technology Vienna Vienna Austria

visualization of the dynamics of the electromagnetic resonators used to build metamaterial is presented. Observed data provides detailed information on the interaction between free space radiation and the resonator.

ISBN: (纸本)9781557529107

关键词： Optical resonators Metamaterials Imaging Nonlinear optics Crystals Magnetic materials Time domain analysis

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Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes

Tracking and Connecting Topics via Incremental Hierarchical ...

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IEEE International conference on data Mining (ICDM)

作者： Zekai J. Gao Yangqiu Song Shixia Liu Haixun Wang Hao Wei Yang Chen Weiwei Cui Microsoft Research Asia Beijing China Department of Computer Science Rice University USA Department of Computer Science University of Zhejiang Hangzhou China Department of Computer Science University of North Carolina Charlotte USA

ISBN: (纸本)9781457720758

Much research has been devoted to topic detection from text, but one major challenge has not been addressed: revealing the rich relationships that exist among the detected topics. Finding such relationships is important since many applications are interested in how topics come into being, how they develop, grow, disintegrate, and finally disappear. In this paper, we present a novel method that reveals the connections between topics discovered from the text data. Specifically, our method focuses on how one topic splits into multiple topics, and how multiple topics merge into one topic. We adopt the hierarchical Dirichlet process (HDP) model, and propose an incremental Gibbs sampling algorithm to incrementally derive and refine the labels of clusters. We then characterize the splitting and merging patterns among clusters based on how labels change. We propose a global analysis process that focuses on cluster splitting and merging, and a finer granularity analysis process that helps users to better understand the content of the clusters and the evolution patterns. We also develop a visualization process to present the results.

关键词： Merging data models Predictive models Business Clustering algorithms Time measurement Semantics

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Cloud-scale SNP detection from RNA-Seq data

Cloud-scale SNP detection from RNA-Seq data

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International conference on data Mining and Intelligent Information Technology Applications (ICMiA)

作者： Deok-keun Kim Jee-hee Yoon Jin-hwa Kong Sang-kyun Hong Un-joo Lee Department of Computer Engineering Hallym University Chuncheon Gangwon South Korea Department of Electronic Engineering Hallym University Chuncheon Gangwon South Korea

Next generation sequencing (NGS) is a powerful method increasing in popularity for the study of human variation and disease. This paper proposes a cloud-computing algorithm that detects SNPs from high-throughput RNA sequence data. By executing in parallel using Hadoop, it identifies SNPs by carefully considering the alignment method and sequencing errors inherent in real data. The analysis results containing the RNA reads and SNP calls can be imported directly into Sequence_Analyzer for the visualization and validation of results.

关键词： Bioinformatics Genomics RNA DNA Cloud computing Detection algorithms Junctions

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A reasoning approach to enable abductive semantic explanation upon collected observations for forensic visual surveillance

A reasoning approach to enable abductive semantic explanatio...

引用

IEEE International conference on Multimedia and Expo (ICME)

作者： Seunghan Han Andreas Hutter Walter Stechele Corporate Technology Siemens AG Munich Germany Institute of ITechnische Technische Universität München Munich Germany

This paper proposes an approach to enable automatic generation of probable semantic hypotheses for a given set of collected observations for forensic visual surveillance. As video analytic power exploited in visual surveillance is getting matured, the more automatically generated intermediate semantic metadata became available. In the sense of forensic reuse of such data, the majority of approaches have been focused on specific semantic query based scene analysis. However, in reality, there are often cases in which it is more natural to reason about the most probable semantic explanation of a scene given a collection of specific semantic evidences. In general, this type of diagnostic reasoning is known as abduction. To enable such a semantic reasoning, in this paper, we propose a layered reasoning pipeline that combines abductive logic programming together with backward and forward chaining based deductive logic programming. To rate derived hypotheses, we apply subjective logic. We present a conceptual case study in a distributed camera based scenario. The case study shows the potential and feasibility of the proposed approach for forensic analysis of visual surveillance data.

关键词： Cognition Logic programming Semantics Surveillance Integrated circuits visualization Forensics

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Demixed Principal Component analysis 11

Demixed Principal Component Analysis

引用

Annual conference on Neural Information Processing Systems

作者： Wieland Brendel Ranulfo Romo Christian K. Machens Ecole Normale Superieure Paris France Champalimaud Neuroscience Programme Lisbon Portugal Instituto de Fisiologia Celular Universidad Nacional Aut6noma de Mexico Mexico City Mexico

ISBN: (纸本)9781618395993

In many experiments, the data points collected live in high-dimensional observation spaces, yet can be assigned a set of labels or parameters. In electrophysio-logical recordings, for instance, the responses of populations of neurons generally depend on mixtures of experimentally controlled parameters. The heterogeneity and diversity of these parameter dependencies can make visualization and interpretation of such data extremely difficult. Standard dimensionality reduction techniques such as principal component analysis (PCA) can provide a succinct and complete description of the data, but the description is constructed independent of the relevant task variables and is often hard to interpret. Here, we start with the assumption that a particularly informative description is one that reveals the dependency of the high-dimensional data on the individual parameters. We show how to modify the loss function of PCA so that the principal components seek to capture both the maximum amount of variance about the data, while also depending on a minimum number of parameters. We call this method demixed principal component analysis (dPCA) as the principal components here segregate the parameter dependencies. We phrase the problem as a probabilistic graphical model, and present a fast Expectation-Maximization (EM) algorithm. We demonstrate the use of this algorithm for electrophysiological data and show that it serves to demix the parameter-dependence of a neural population response.

关键词： task variables component analysis dimensionality reduction parameters LOSS FUNCTION

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Digital image processing methods based on Visual C#.NET

Digital image processing methods based on Visual C#.NET

引用

International conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

作者： Yan Wang Yinjie Cao College of Physical Science and Information Technology LiaoCheng University ShanDong China Liaocheng University Liaocheng Shandong CN

ISBN: (纸本)9781457705359

In the paper we introduce three methods for image processing, they are pixel extraction method, memory method and pointer method. With the same condition of data structure and algorithm, the three methods are used in edge detection for the digital images. In order to compare the actual operation efficiency of these three kinds of methods, we use C# to write a Windows Form Application program in the environment of Visual Studio 2008. The experimental results show that: using pointer method to process digital image has the best execution efficiency in the same conditions.

关键词： Image edge detection Digital images Arrays Image color analysis visualization

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