Search For:

Displaying 1-25 out of 25 total
Visual exploration of local interest points in sets of time series
Found in: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
By Tobias Schreck,Lyubka Sharalieva,Franz Wanner,Jurgen Bernard,Tobias Ruppert,Tatiana von Landesberger,Benjamin Bustos
Issue Date:October 2012
pp. 239-240
Visual analysis of time series data is an important, yet challenging task with many application examples in fields such as financial or news stream data analysis. Many visual time series analysis approaches consider a global perspective on the time series....
 
MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation
Found in: IEEE Transactions on Visualization and Computer Graphics
By Jurgen Bernard,Nils Wilhelm,Bjorn Kruger,Thorsten May,Tobias Schreck,Jorn Kohlhammer
Issue Date:December 2013
pp. 2257-2266
We present MotionExplorer, an exploratory search and analysis system for sequences of human motion in large motion capture data collections. This special type of multivariate time series data is relevant in many research fields including medicine, sports a...
 
Real-Time Visual Analytics for Text Streams
Found in: Computer
By Daniel A. Keim,Milos Krstajic,Christian Rohrdantz,Tobias Schreck
Issue Date:July 2013
pp. 47-55
Combining automated analysis and visual-interactive displays helps analysts rapidly sort through volumes of raw text to detect critical events and identify surrounding issues. The Web extra at http://youtu.be/KazwGGLPZ1U is a video segment demonstrating th...
 
Visual Analysis of Social Media Data
Found in: Computer
By Tobias Schreck,Daniel Keim
Issue Date:May 2013
pp. 68-75
The application of visual analytics, which combines the advantages of computational knowledge discovery and interactive visualization, to social media data highlights the many benefits of this integrated approach. The Web extra at http://youtu.be/nhoq71gqy...
 
Subspace search and visualization to make sense of alternative clusterings in high-dimensional data
Found in: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
By Andrada Tatu,Fabian Maas,Ines Farber,Enrico Bertini,Tobias Schreck,Thomas Seidl,Daniel Keim
Issue Date:October 2012
pp. 63-72
In explorative data analysis, the data under consideration often resides in a high-dimensional (HD) data space. Currently many methods are available to analyze this type of data. So far, proposed automatic approaches include dimensionality reduction and cl...
 
Visual analytics for the big data era — A comparative review of state-of-the-art commercial systems
Found in: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
By Leishi Zhang,Andreas Stoffel,Michael Behrisch,Sebastian Mittelstadt,Tobias Schreck,Rene Pompl,Stefan Weber,Holger Last,Daniel Keim
Issue Date:October 2012
pp. 173-182
Visual analytics (VA) system development started in academic research institutions where novel visualization techniques and open source toolkits were developed. Simultaneously, small software companies, sometimes spin-offs from academic research institutio...
 
VAST 2012 Mini-Challenge 2: Chart- and Matrix-based approach to network operations forensics
Found in: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
By Jan Hildenbrand,Daniel-Ionut Paval,Prakash Thapa,Christian Rohrdantz,Florian Mansmann,Enrico Bertini,Tobias Schreck
Issue Date:October 2012
pp. 287-288
We report the approach and results on the VAST 2012 MiniChallenge 2: Bank of Money Regional Office Network Operations Forensics. Using commercial data mining, visualization and database software such as KNIME, Tableau and MySQL as well as a custom-written ...
 
Matrix-based visual correlation analysis on large timeseries data
Found in: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
By Michael Behrisch,James Davey,Tobias Schreck,Daniel Keim,Jorn Kohlhammer
Issue Date:October 2012
pp. 209-210
In recent years, the quantity of time series data generated in a wide variety of domains grown consistently. Thus, it is difficult for analysts to process and understand this overwhelming amount of data. In the specific case of time series data another pro...
 
Visualizing Time-Dependent Data in Multivariate Hierarchic Plots - Design and Evaluation of an Economic Application
Found in: Information Visualisation, International Conference on
By Tatiana Tekusova, Tobias Schreck
Issue Date:July 2008
pp. 143-150
For successfully competing in a modern economy, large amounts of hierarchic time-dependent data need to be analyzed. As an example, one could consider the geographic composition of inflation in the European Union, or the revenue by product (sub) categories...
 
Content-Based 3D Object Retrieval
Found in: IEEE Computer Graphics and Applications
By Benjamin Bustos, Daniel Keim, Dietmar Saupe, Tobias Schreck
Issue Date:July 2007
pp. 22-27
Methods for automatically extracting descriptors from 3D objects are key to searching and indexing techniques in their growing repositories. The authors present two recently proposed approaches and discuss methods for benchmarking the 3D retrieval systems'...
 
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
Found in: Multimedia and Expo, IEEE International Conference on
By Tobias Schreck, Daniel Keim, Christian Panse
Issue Date:July 2006
pp. 925-928
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Feature Vector extractors are available. The automatic (unsupervised) identifica...
 
Importance-Driven Visualization Layouts for Large Time Series Data
Found in: Information Visualization, IEEE Symposium on
By Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck
Issue Date:October 2005
pp. 27
<p>Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in parallel. Sets of time series may show intrinsic hierarchical relatio...
 
Automatic Selection and Combination of Descriptors for Effective 3D Similarity Search
Found in: Multimedia Software Engineering, International Symposium on
By Benjamin Bustos, Daniel Keim, Dietmar Saupe, Tobias Schreck, Dejan Vranić
Issue Date:December 2004
pp. 514-521
We focus on improving the effectiveness of similarity search in 3D object repositories from a system-oriented perspective. Motivated by an effectiveness evaluation of several individual 3D retrieval methods, we research a selection heuristic, called purity...
 
2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases
Found in: Visualization Conference, IEEE
By Benjamin Bustos, Daniel A. Keim, Christian Panse, Tobias Schreck
Issue Date:October 2004
pp. 2p
Multimedia objects are often described by high-dimensional feature vectors which can be used for retrieval and clustering tasks. We have built an interactive retrieval system for 3D model databases that implements a variety of different feature transforms....
   
An Experimental Comparison of Feature-Based 3D Retrieval Methods
Found in: 3D Data Processing Visualization and Transmission, International Symposium on
By Benjamin Bustos, Daniel Keim, Dietmar Saupe, Tobias Schreck, Dejan Vranic
Issue Date:September 2004
pp. 215-222
3D objects are an important type of multimedia data with many promising application possibilities. Defining the aspects that constitute the similarity among 3D objects, and designing algorithms that implement such similarity definitions is a difficult prob...
 
MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation
Found in: IEEE Transactions on Visualization and Computer Graphics
By Jurgen Bernard,Nils Wilhelm,Bjorn Kruger,Thorsten May,Tobias Schreck,Jorn Kohlhammer
Issue Date:December 2013
pp. 2257-2266
We present MotionExplorer, an exploratory search and analysis system for sequences of human motion in large motion capture data collections. This special type of multivariate time series data is relevant in many research fields including medicine, sports a...
 
Guided discovery of interesting relationships between time series clusters and metadata properties
Found in: Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW '12)
By Jörn Kohlhammer, Jürgen Bernard, Maximilian Scherer, Tobias Ruppert, Tobias Schreck
Issue Date:September 2012
pp. 1-8
Visual cluster analysis provides valuable tools that help analysts to understand large data sets in terms of representative clusters and relationships thereof. Often, the found clusters are to be understood in context of belonging categorical, numerical or...
     
Visual-interactive querying for multivariate research data repositories using bag-of-words
Found in: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries (JCDL '13)
By Maximilian Scherer, Tatiana von Landesberger, Tobias Schreck
Issue Date:July 2013
pp. 285-294
Large amounts of multivariate data are collected in different areas of scientific research and industrial production. These data are collected, archived and made publicly available by research data repositories. In addition to meta-data based access, conte...
     
Graph-based combinations of fragment descriptors for improved 3D Object Retrieval
Found in: Proceedings of the 3rd Multimedia Systems Conference (MMSys '12)
By Arjan Kuijper, Benjamin Bustos, Michael Walter, Maximilian Scherer, Sang Min Yoon, Tobias Schreck
Issue Date:February 2012
pp. 23-28
3D Object Retrieval is an important field of research with many application possibilities. One of the main goals in this research is the development of discriminative methods for similarity search. The descriptor-based approach to date has seen a lot of re...
     
Retrieval and exploratory search in multivariate research data repositories using regressional features
Found in: Proceeding of the 11th annual international ACM/IEEE joint conference on Digital libraries (JCDL '11)
By Jurgen Bernard, Maximilian Scherer, Tobias Schreck
Issue Date:June 2011
pp. 363-372
Increasing amounts of data are collected in many areas of research and application. The degree to which this data can be accessed, retrieved, and analyzed is decisive to obtain progress in fields such as scientific research or industrial production. We pre...
     
Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours
Found in: Proceedings of the international conference on Multimedia (MM '10)
By Arjan Kuijper, Maximilian Scherer, Sang Min Yoon, Tobias Schreck
Issue Date:October 2010
pp. 193-200
The number of available 3D models in various areas increase steadily. Effective methods to search for those 3D models by content, rather than textual annotations, are crucial. For this purpose, we propose a new approach for content based 3D model retrieval...
     
Visual analytics of time dependent 2D point clouds
Found in: Computer Graphics International (CGI '09)
By Peyman Rezaei, Sebastian Bremm, Tatiana von Landesberger, Tobias Schreck
Issue Date:May 2009
pp. 97-101
Two dimensional point data can be considered one of the most basic, yet one of the most ubiquitous data types arising in a wide variety of applications. The basic scatter plot approach is widely used and highly effective for data sets of small to moderate ...
     
Towards automatic feature vector optimization for multimedia applications
Found in: Proceedings of the 2008 ACM symposium on Applied computing (SAC '08)
By Daniel Keim, Dieter Fellner, Tobias Schreck
Issue Date:March 2008
pp. 28-34
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of experiments using real and synthetic benchmark data is conducted, the result...
     
Feature-based similarity search in 3D object databases
Found in: ACM Computing Surveys (CSUR)
By Benjamin Bustos, Daniel A. Keim, Dejan V. Vranic, Dietmar Saupe, Tobias Schreck
Issue Date:December 2005
pp. 345-387
The development of effective content-based multimedia search systems is an important research issue due to the growing amount of digital audio-visual information. In the case of images and video, the growth of digital data has been observed since the intro...
     
A pivot-based index structure for combination of feature vectors
Found in: Proceedings of the 2005 ACM symposium on Applied computing (SAC '05)
By Benjamin Bustos, Daniel Keim, Tobias Schreck
Issue Date:March 2005
pp. 1180-1184
We present a novel indexing schema that provides efficient nearest-neighbor queries in multimedia databases consisting of objects described by multiple feature vectors. The benefits of the simultaneous usage of several (statically or dynamically) weighted ...
     
 1