{"title":"Hybrid Appearance Based Disease Recognition of Human Brains","authors":"Leyla Zhuhadar, Gopi Chand Nutakki","doi":"10.1109/IV.2012.99","DOIUrl":"https://doi.org/10.1109/IV.2012.99","url":null,"abstract":"The magnetic resonance imaging (MRI) is a diagnostic and treatment evaluation tool which is very widely used in various areas of medicine. MRI images provide very high quality images of the brain tissue and so can be used to study the brain conditions. This research paper proposes a productive technique to classify brain MRI images. Examining the MRI brain images manually is not only slow but is also error prone. In order to both speed up the process and maintain the quality of the classification we need a very high-quality classification system. In this research work, advanced classification techniques based on the well known SIFT and Gabor features are applied on brain images. From our analysis we observed that a hybrid feature derived with SIFT and Gabor features yielded a higher accuracy than Gabor features alone.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114218934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Lu, M. Huang, Yi-Wen Chen, Jie Liang, Quang Vinh Nguyen
{"title":"Clutter Reduction in Multi-dimensional Visualization of Incomplete Data Using Sugiyama Algorithm","authors":"L. Lu, M. Huang, Yi-Wen Chen, Jie Liang, Quang Vinh Nguyen","doi":"10.1109/IV.2012.26","DOIUrl":"https://doi.org/10.1109/IV.2012.26","url":null,"abstract":"Visualization of uncertainty in datasets is a new field of research, which aims to represent incomplete data for analysis in real scenarios. In many cases, datasets, especially multi-dimensional datasets, often contain either errors or uncertain values. To address this challenge, we may treat these uncertainties as scalar values like probability. For visual representation in parallel coordinates, we draw a small \"circle\" to temporarily define a dummy vertex for an uncertain value of a data item, at the crossing point between polylines and the axis of certain dimension. Furthermore, these temporary positions of uncertainty could be permuted to achieve visual effectiveness. This feature provides a great opportunity by optimizing the order of uncertain values to tackle another important challenge in information visualization: clutter reduction. Visual clutter always obscures the visualizing structure even in small datasets. In this paper, we apply Sugiyama's layered directed graph drawing algorithm into parallel coordinates visualization to minimize the number of edge crossing among polylines, which has significantly improved the readability of visual structure. Experiments in case studies have shown the effectiveness of our new methods for clutter reduction in parallel coordinates visualization. These experiments also imply that besides visual clutter, the number of uncertain values and the type of multi-dimensional data are important attributes that affect visualization performance in this field.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114719183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stefaan Van Liefferinge, Rebecca A. Smith, Tyler Carlson, Elijah Holt, M. Covington, W. Potter
{"title":"The ARC Project: Reasoning about Representations of Gothic Cathedrals with Artificial Intelligence","authors":"Stefaan Van Liefferinge, Rebecca A. Smith, Tyler Carlson, Elijah Holt, M. Covington, W. Potter","doi":"10.1109/IV.2012.100","DOIUrl":"https://doi.org/10.1109/IV.2012.100","url":null,"abstract":"The Architecture Represented Computationally (ARC) project analyzes documents that describe Gothic cathedrals. It researches how these descriptions can be translated from a natural language into a formal logical model - a representation that a computer can handle. Handling representations of architecture is not straightforward and requires expertise involving logical reasoning. ARC implements this expertise in Prolog. The project aims to create a system that can understand descriptions composed in a natural language and eventually in a later phase reproduce them in 3D.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133700663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Giddings, W. Mass, Andrew S. Dufilie, G. Grinstein
{"title":"Weaving the U.S. Census: Visualization and Cross-jurisdictional Exploration and Comparisons","authors":"J. Giddings, W. Mass, Andrew S. Dufilie, G. Grinstein","doi":"10.1109/IV.2012.104","DOIUrl":"https://doi.org/10.1109/IV.2012.104","url":null,"abstract":"Weave (Web-based Analysis and Visualization Environment) facilitates extensive real-time user interaction with visualizations of US Census Bureau data, both geographic and non-geographic. This paper discusses the complexities of preparing a large complex data set for visualization in the tool, and the potential advantages of engaging such data visually. The required pre-processing of the American Community Survey (ACS) data serves as the prime example. The procedure for loading detailed data into Weave is described. Several examples of presenting and interactively manipulating Census data are presented including analytics using R Project supported statistics and how drawing upon Weave's multigeo layering capabilities can support flexibility in implementing normalization options. The development trajectory for weave seeks to expand capabilities for metadata insertion, browsing and searching this rich data source.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133865845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast Layout Computation of Hierarchically Clustered Networks: Algorithmic Advances and Experimental Analysis","authors":"W. Didimo, Fabrizio Montecchiani","doi":"10.1109/IV.2012.14","DOIUrl":"https://doi.org/10.1109/IV.2012.14","url":null,"abstract":"Fast computation of two-dimensional layouts of hierarchically clustered networks is a well-studied problem in graph visualization. We present algorithmic and experimental advances on the subject: (i) We propose a new drawing algorithm that combines space-filling and fast force-directed methods; it runs in O(nlogn+m) time, where n and m are the number of vertices and edges of the network, respectively. This running time does not depend on the number of clusters, thus the algorithm guarantees good time performances independently of the structure of the cluster hierarchy. As a further advantage, the algorithm can be easily parallelized. (ii) We present an experimental analysis aimed at understanding which clustering algorithms can be used, in combination with our visualization technique, to generate better quality drawings for medium and large networks with small-world and scale-free structure. As far as we know, no previous similar experiments have been done in this respect.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132733414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roberto Yuri da Silva Franco, Ranieri Barros Teixeira, R. V. Guimarães, N. Carneiro, A. Meiguins, B. Meiguins
{"title":"PRISMA-MDE - Distributed and Scalable Environment for Multiple Views of Data Coordinates","authors":"Roberto Yuri da Silva Franco, Ranieri Barros Teixeira, R. V. Guimarães, N. Carneiro, A. Meiguins, B. Meiguins","doi":"10.1109/IV.2012.108","DOIUrl":"https://doi.org/10.1109/IV.2012.108","url":null,"abstract":"Multi-display environment (MDE) has evolved in recent years; however, the adjustment of common visualization system to MDEs poses several challenges. This paper describes an information visualization (IV) tool for a distributed and scalable environment with coordinated multiple views of data, which simulates an extended desktop across multi-display. This work is limited to the use of three monitors. This document presents satisfactory results of preliminary tests of usability. Performance tests showed an IV pipeline is more optimized than the common visualization tool.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114063343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge Visualization of Large-size Architectural Heritage. A Research Experience on Yanqing Section of Chinese Great Wall","authors":"G. Issini","doi":"10.1109/IV.2012.89","DOIUrl":"https://doi.org/10.1109/IV.2012.89","url":null,"abstract":"This paper presents a research experience held in Beijing since 2009 by Dardus Department of Polytechnic University of Marche and Beijing University of Civil Engineering and Architecture. During a wider research campaign for knowledge and restoration of the Yanqing Section of Chinese Great Wall, the research staff faced the issues linked to the information management on a large size heritage work. The main questions were the presence of many different types of information, acquired across different times and with many methods and techniques, and the needs to visualize in the proper way that information in order to obtain analytical reference for the design strategies. The staff defined suitable methods for data acquisition and management, based in a new reading criterion of the monument features. The proposed visualization methods tried to collect the various data in a unique, interactive and immersive environment.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131403807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Heat Map Scope Technique for Stacked Time-series Data Visualization","authors":"Y. Hashimoto, Ryouhei Matsushita","doi":"10.1109/IV.2012.53","DOIUrl":"https://doi.org/10.1109/IV.2012.53","url":null,"abstract":"Multidimensional time-series data is common in many fields of study, and to visualize it in a compact space while retaining dimensional context as much as possible is one of the conventional and still challenging issues for information visualization. In this paper, we propose a small technique for visualizing the detailed pattern of multidimensional time-series data without losing the sight of the whole trend. In our system, two well-known techniques of Streamgraph and Heat Map visual representations are integrated along the lines of the ``focus plus context'' philosophy. We demonstrate that interactive and spatial switchover between both representations enables us to traverse the data from microscopic to macroscopic view smoothly.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131156832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does the Medium Matter? An Experiment on the Impact of Collaboration on Visual Sales Sessions","authors":"R. Pfister","doi":"10.1109/IV.2012.64","DOIUrl":"https://doi.org/10.1109/IV.2012.64","url":null,"abstract":"In this paper we report on the results of an experiment simulating financial sales meetings between prospective customers and a banking advisor. The study involves 112 subjects and examines effects of interactive visual sales communication on the quality of a sales encounter. We have simulated informative sales meetings where a financial sales expert explains the functioning of a mutual fund to a potential client. We have used a 2 by 2 experiment design varying the degree of interaction (with our without customer involvement) and the medium (paper versus computer) used in the meeting. The results show that the use of customer involvement elements, that is to say joint drawing, has a significant positive effect on perceived client orientation and loyalty towards the salesperson, but not on the salesperson's (perceived) expertise and trust. It also has a positive effect on perceived empathy of the sales advisor. We also found that the use of paper sketching leads to significant increased loyalty towards the salesperson when it comes to questions as \"would you recommend this consultant?\" Computer presentations in lieu of paper sketching do not lead to significant differences in terms of the salesperson's impact on a prospect -- except if the subject has a preference for affective information processing; in this case sketching outperforms visualization software. This article has relevance for visualization scholars and practitioners, as it provides evidence that the visualization medium and its involvement level affect communication effectiveness depending on the cognitive style of the participants.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123481856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AIVA vs UML: Comparison of Component Application Visualizations in a Case-study","authors":"J. Snajberk, Lukas Holy, Přemek Brada","doi":"10.1109/IV.2012.20","DOIUrl":"https://doi.org/10.1109/IV.2012.20","url":null,"abstract":"UML is the state of the art in visualization of software. However, it does not satisfy the needs of modeling in the domain of component applications and complex software architectures. UML has to be extended with profiles so as to be able to model the specifics of a particular component model; its diagrams are not scalable, therefore one has to balance the amount of information and readability; and it presents all the information at once so visual data mining is harder. These were the reasons for developing a completely new approach called AIVA (Advanced Interactive Visualization Approach) that focuses solely on the component domain and addresses the problems of scalability and readability by adopting interactive techniques like information hiding and details on demand. In this paper we analyse how this new approach stands compared with UML by modelling a nontrivial component application.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126392027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}