An increasing number of temporal categorical databases are being collected: Electronic Health Records in healthcare organizations, traffic incident logs in transportation systems, or student records in universities. F...
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Database searches are usually performed with query languages and form fill in templates, with results displayed in tabular lists. However, excitement is building around dynamic queries sliders and other graphical sele...
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ISBN:
(纸本)9781605581026
Database searches are usually performed with query languages and form fill in templates, with results displayed in tabular lists. However, excitement is building around dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. Scaling visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics. This paper describes current and proposed solutions (atomic, aggregated, and density plots) that facilitate sense-making for interactive visual exploration of billion record data sets. Copyright 2008 ACM.
—This paper introduces a novel approach for enabling real-time imitation of human head motion by a Nao robot, with a primary focus on elevating human-robot interactions. By using the robust capabilities of the MediaP...
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Analyzing networks involves understanding the complex relationships between entities, as well as any attributes they may have. The widely used node-link diagrams excel at this task, but many are difficult to extract m...
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ISBN:
(纸本)9781450318990
Analyzing networks involves understanding the complex relationships between entities, as well as any attributes they may have. The widely used node-link diagrams excel at this task, but many are difficult to extract meaning from because of the inherent complexity of the relationships and limited screen space. To help address this problem we introduce a technique called motif simplification, in which common patterns of nodes and links are replaced with compact and meaningful glyphs. Well-designed glyphs have several benefits: they (1) require less screen space and layout effort, (2) are easier to understand in the context of the network, (3) can reveal otherwise hidden relationships, and (4) preserve as much underlying information as possible. We tackle three frequently occurring and high-payoff motifs: fans of nodes with a single neighbor, connectors that link a set of anchor nodes, and cliques of completely connected nodes. We contribute design guidelines for motif glyphs;example glyphs for the fan, connector, and clique motifs;algorithms for detecting these motifs;a free and open source reference implementation;and results from a controlled study of 36 participants that demonstrates the effectiveness of motif simplification. Copyright 2013 ACM.
Children enjoy interactive museum experiences, tim houses, and amusement parks, but children are not the authors of these immersive storytelling experiences. They are merely the audience or participants in an environm...
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Social network analysis has emerged as a powerful method for understanding the importance of relationships among interacting units in a variety of domains. However, interactive exploration of social networks is challe...
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ISBN:
(纸本)1595932984
Social network analysis has emerged as a powerful method for understanding the importance of relationships among interacting units in a variety of domains. However, interactive exploration of social networks is challenging because: (1) it is difficult to comprehend the characteristics and structure of networks when there are many edges and nodes, and (2) current systems are often a medley of statistical methods and overwhelming visual output which leaves many analysts uncertain about how to explore in an orderly manner. This results in exploration that is largely opportunistic. The contributions of our work are principles and an interface to support systematic analysis of social networks. We believe our approach will enable users to better understand the structure of networks and the social groups within.
The goal of this paper is unsupervised face clustering in edited video material - where face tracks arising from different people are assigned to separate clusters, with one cluster for each person. In particular we e...
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ISBN:
(纸本)1595930361
The goal of this paper is unsupervised face clustering in edited video material - where face tracks arising from different people are assigned to separate clusters, with one cluster for each person. In particular we explore the extent to which faces can be clustered automatically without making an error. This is a very challenging problem given the variation in pose, lighting and expressions that can occur, and the similarities between different people. The novelty we bring is three fold: first, we show that a form of weak supervision is available from the editing structure of the material - the shots, threads and scenes that are standard in edited video;second, we show that by first clustering within scenes the number of face tracks can be significantly reduced with almost no errors;third, we propose an extension of the clustering method to entire episodes using exemplar SVMs based on the negative training data automatically harvested from the editing structure. The method is demonstrated on multiple episodes from two very different TV series, Scrubs and Buffy. For both series it is shown that we move towards our goal, and also outperform a number of baselines from previous works. Copyright is held by the authors.
computer users deal with large amount of personal media data and they often face problems in managing and exploring them. The paper presents an innovative approach, Semantic Regions that are rectangular regions direct...
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ISBN:
(纸本)1581136374
computer users deal with large amount of personal media data and they often face problems in managing and exploring them. The paper presents an innovative approach, Semantic Regions that are rectangular regions directly drawn on 2D space with semantics so that their layout can form users' various mental models toward the personal media data. A prototype personal media exploring application, MediaFinder, based on the concept of Semantic Regions is presented. Usability tests will be conducted to evaluate the Semantic Regions as a personal media management model including organization, search, navigation, indexing, meaning extraction, and distribution.
An increasing number of persuasive personal healthcare monitoring systems are being researched, designed and tested, many of them being based on Smartphone technology. These systems could help patients and clinicians ...
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We have begun the development of a new robotic pet that can support children in the storytelling process. Children can build their own pet by snapping together the modular animal parts of the PETS robot. After their p...
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