View
214
Download
2
Embed Size (px)
Citation preview
Interactive and Collaborative Interactive and Collaborative Visualization and Exploration Visualization and Exploration
of Massive Data Setsof Massive Data Sets --------
UC Davis Visualization Investigators:UC Davis Visualization Investigators:Bernd Hamann, Bernd Hamann,
Ken Joy, Kwan-Liu Ma,Ken Joy, Kwan-Liu Ma, Nelson Max and Oliver StaadtNelson Max and Oliver Staadt
http://graphics.cs.ucdavis.eduhttp://graphics.cs.ucdavis.edu
Massive Data Visualization -Massive Data Visualization -The ChallengeThe Challenge• Massive amountsMassive amounts of data acquired by millions of multi- of data acquired by millions of multi-
modal sensors – embedded in civil infrastructuremodal sensors – embedded in civil infrastructure• Exploration for Exploration for multiple purposesmultiple purposes
– Traffic flow monitoringTraffic flow monitoring– Behavior of structures during earthquakesBehavior of structures during earthquakes– Environmental monitoring (water, air, land)Environmental monitoring (water, air, land)– Crisis managementCrisis management– ……
• Automatic Automatic “filtering” and compression“filtering” and compression of data of data• Real-time visualizationReal-time visualization for different groups for different groups
– Decision and policy makersDecision and policy makers– Emergency response teamsEmergency response teams– Civil engineersCivil engineers– ……
• Major technological challenges!Major technological challenges!
Collaborative VisualizationCollaborative Visualization
• ConnectionConnection of of multiple data multiple data exploration and exploration and visualization visualization centerscenters
• CollaborativeCollaborative data data explorationexploration by interdisciplinary by interdisciplinary expert teamsexpert teams
The Technological The Technological ChallengesChallenges
• Today’s technology cannot visualize Today’s technology cannot visualize massive dynamic datamassive dynamic data in real time in real time
• Automatically Automatically reduce datareduce data volume volume and and preservepreserve relevant relevant characteristicscharacteristics
• Develop visualization systems Develop visualization systems providing support for providing support for distributed distributed collaborative data explorationcollaborative data exploration
Distributed EnvironmentDistributed Environment
Visualization PortalsVisualization Portals
CITRISnetCITRISnet
Data Exploration Center(s)Data Exploration Center(s)
Sensors Sensors
UC Davis - StrengthUC Davis - Strength
• International leader in International leader in massive data massive data visualizationvisualization, complementing expertise , complementing expertise of Berkeley and Santa Cruzof Berkeley and Santa Cruz
• Parallel and distributed visualizationParallel and distributed visualization
• Networked Networked immersive environmentsimmersive environments with multi-sensor integrationwith multi-sensor integration
• Partners/potential partnersPartners/potential partners: Berkeley, : Berkeley, Santa Cruz, LLNL, LBNL, int’l partners (ETH Santa Cruz, LLNL, LBNL, int’l partners (ETH Zurich, …)Zurich, …)
Contribution to CITRISContribution to CITRIS
1.1. Compression of massive data streams supporting Compression of massive data streams supporting analysis analysis at multiple levels of abstraction at multiple levels of abstraction – quantitative / – quantitative / qualitativequalitative
2.2. Efficient and automatic Efficient and automatic feature extractionfeature extraction
3.3. Visualization in Visualization in immersiveimmersive three-dimensional three-dimensional environmentsenvironments
4.4. Interactive visualization Interactive visualization – real-time– real-time
5.5. Techniques for large, room-size Techniques for large, room-size “display walls”“display walls”
6.6. Parallel and distributed computingParallel and distributed computing in support of scalable, in support of scalable, multiresolution-based data exploration techniquesmultiresolution-based data exploration techniques
VR-based Remote Data VR-based Remote Data VisualizationVisualization
• Virtual realityVirtual reality techniques techniques necessary to naturally interact necessary to naturally interact with 3D, dynamic data streamswith 3D, dynamic data streams
• UsingUsing CITRISnet CITRISnet to connect to connect data centers and portals data centers and portals
• Portals to Portals to ``concentrate’’ ``concentrate’’ informationinformation and provide and provide multiple views of datamultiple views of data
• UsingUsing Wireless connections Wireless connections between small devices and between small devices and visualization centersvisualization centers
• Multiple groupsMultiple groups interacting interacting
wth data in real time wth data in real time
DavisDavis
MercedMerced ……
Santa CruzSanta Cruz
BerkeleyBerkeley
CITRISnetCITRISnet
Contributions of the UC Davis Contributions of the UC Davis Visualization and Graphics Visualization and Graphics GroupGroup• Scalable interactionScalable interaction techniques for virtual environments techniques for virtual environments
• Hybrid display environmentsHybrid display environments - virtual environments, - virtual environments, augmented virtuality, augmented reality, …augmented virtuality, augmented reality, …
• Multiple levelsMultiple levels of resolution and abstraction of resolution and abstraction
• Remote Remote visualization overvisualization over high-speed high-speed networksnetworks
• Collaborative visualization for Collaborative visualization for distributed viewing distributed viewing environmentsenvironments
• Next-generation Next-generation interface technologyinterface technology - voice, gesture, force, … - voice, gesture, force, …