{"title":"Interactive video cubism","authors":"S. Fels, K. Mase","doi":"10.1145/331770.331789","DOIUrl":"https://doi.org/10.1145/331770.331789","url":null,"abstract":"This paper presents an interactive video visualization system. In this visualization video data is considered to be a block of three dimensional data where frames of video data comprise the third dimension. The user can manipulate and see a cut plane through the video data. The visualization leads to images that are aesthetically interesting as well as being useful for image analysis","PeriodicalId":256851,"journal":{"name":"New Paradigms in Information Visualization and Manipulation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376627","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":"Exploration of large image collections using virtual reality devices","authors":"R. V. Liere, W. D. Leeuw","doi":"10.1145/331770.331790","DOIUrl":"https://doi.org/10.1145/331770.331790","url":null,"abstract":"An image browser for the exploration of image collections is described The approach taken is to utilize VR input devices to develop more intuitive interaction metaphors that allow users to navigate through large collections of images. The browser presents query results as a strip of images and interaction with the strip is realized by interpreting the user's head movements. The browser is used as a front end to a visual information retrieval system.","PeriodicalId":256851,"journal":{"name":"New Paradigms in Information Visualization and Manipulation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121736625","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}
Anna Fredrikson, Chris North, C. Plaisant, B. Shneiderman
{"title":"Temporal, geographical and categorical aggregations viewed through coordinated displays: a case study with highway incident data","authors":"Anna Fredrikson, Chris North, C. Plaisant, B. Shneiderman","doi":"10.1145/331770.331780","DOIUrl":"https://doi.org/10.1145/331770.331780","url":null,"abstract":"Information visualization displays can hold a limited number of data points, typically a few thousand, before they get crowded. One way to solve this problem with larger data sets is to create aggregates. Aggregations were used together with the Snap-Together Visualization system to coordinate the visual displays of aggregates and their content. If two displays each hold one thousand items then rapid access and visibility can be maintained for a million points. This paper presents examples based on a database of highway incident data.","PeriodicalId":256851,"journal":{"name":"New Paradigms in Information Visualization and Manipulation","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125530329","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}
David Anderson, Emily Anderson, N. Lesh, J. Marks, K. Perlin, David Ratajczak, Kathy Ryall
{"title":"Human-guided simple search: combining information visualization and heuristic search","authors":"David Anderson, Emily Anderson, N. Lesh, J. Marks, K. Perlin, David Ratajczak, Kathy Ryall","doi":"10.1145/331770.331778","DOIUrl":"https://doi.org/10.1145/331770.331778","url":null,"abstract":"Scheduling, routing, and layout tasks are examples of hard operations-research problems that have broad application in industry. Typical algorithms for these problems combine some form of gradient descent to find local minima with some strategy for escaping nonoptimal local minima and traversing the search space. Our idea is to divide these two subtasks cleanly between human and computer: in our paradigm of human-guided sample search the computer is responsible only for finding local minima using a simple search method; using information visualization, the human identifies promising regions of the search space for the computer to explore, and also intervenes to help it escape nonoptimal local minima. This is a specific example of a more general strategy, that of combining heuristic-search and information-visualization techniques in an interactive system. We are applying our approach to the problem of capacitated vehicle routing with time windows (CVRTW). We describe the design and implementation of our initial prototype, some preliminary results, and our plans for future work.","PeriodicalId":256851,"journal":{"name":"New Paradigms in Information Visualization and Manipulation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130520131","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}
A. MacEachren, R. Edsall, Daniel Haug, R. Baxter, George Otto, R. Masters, S. Fuhrmann, L. Qian
{"title":"Virtual environments for geographic visualization: potential and challenges","authors":"A. MacEachren, R. Edsall, Daniel Haug, R. Baxter, George Otto, R. Masters, S. Fuhrmann, L. Qian","doi":"10.1145/331770.331781","DOIUrl":"https://doi.org/10.1145/331770.331781","url":null,"abstract":"Virtual environment (VE) technologies have considerable potential to extend the power of information visualization methods, and those of scientific visualization more broadly. Our specific focus here is on VE technologies as a medium for geographic visualization and on some of the challenges that must be addressed if the potential of VE is to be realized in this context.","PeriodicalId":256851,"journal":{"name":"New Paradigms in Information Visualization and Manipulation","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132220917","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":"Visualization of high-dimensional model characteristics","authors":"Marie desJardins, P. Rheingans","doi":"10.1145/331770.331774","DOIUrl":"https://doi.org/10.1145/331770.331774","url":null,"abstract":"Using inductive learning techniques to construct explanatory models for large, high-dimensional data sets is a useful way to discover useful information. However, these models can be difficult for users to understand. We have developed a set of visualization methods that enable a user to evaluate the quality of learned models, to compare alternative models, and identify ways in which a model might be improved We describe the visualization techniques we have explored, including methods for high-dimensional data space projection, variable/class correlation, instance mapping, and model sampling We show the results of applying these techniques to several models built from a benchmark data set of census data.","PeriodicalId":256851,"journal":{"name":"New Paradigms in Information Visualization and Manipulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131122320","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}