1. Interactive and Collaborative Visualization and Exploration of Massive Data Sets ---- UC Davis Visualization Investigators: Bernd Hamann, Ken Joy, Kwan-Liu Ma, Nelson Max and Oliver Staadt Nelson Max and Oliver Staadthttp://graphics.cs.ucdavis.edu

2. Massive Data Visualization - The Challenge Massive amounts of data acquired by millions of multi- modal sensors – embedded in civil infrastructure Massive amounts of data acquired by millions of multi- modal sensors – embedded in civil infrastructure Exploration for multiple purposes Exploration for multiple purposes –Traffic flow monitoring –Behavior of structures during earthquakes –Environmental monitoring (water, air, land) –Crisis management –… Automatic “filtering” and compression of data Automatic “filtering” and compression of data Real-time visualization for different groups Real-time visualization for different groups –Decision and policy makers –Emergency response teams –Civil engineers –… Major technological challenges! Major technological challenges!

3. Collaborative Visualization Connection of multiple data exploration and visualization centers Connection of multiple data exploration and visualization centers Collaborative data exploration by interdisciplinary expert teams Collaborative data exploration by interdisciplinary expert teams

4. The Technological Challenges Today’s technology cannot visualize massive dynamic data in real time Today’s technology cannot visualize massive dynamic data in real time Automatically reduce data volume and preserve relevant characteristics Automatically reduce data volume and preserve relevant characteristics Develop visualization systems providing support for distributed collaborative data exploration Develop visualization systems providing support for distributed collaborative data exploration

5. Distributed Environment Visualization Portals CITRISnet Data Exploration Center(s) Sensors

6. UC Davis - Strength International leader in massive data visualization, complementing expertise of Berkeley and Santa Cruz International leader in massive data visualization, complementing expertise of Berkeley and Santa Cruz Parallel and distributed visualization Parallel and distributed visualization Networked immersive environments with multi-sensor integration Networked immersive environments with multi-sensor integration Partners/potential partners: Berkeley, Santa Cruz, LLNL, LBNL, int’l partners (ETH Zurich, …) Partners/potential partners: Berkeley, Santa Cruz, LLNL, LBNL, int’l partners (ETH Zurich, …)

7. Contribution to CITRIS 1.Compression of massive data streams supporting analysis at multiple levels of abstraction – quantitative / qualitative 2.Efficient and automatic feature extraction 3.Visualization in immersive three-dimensional environments 4.Interactive visualization – real-time 5.Techniques for large, room-size “display walls” 6.Parallel and distributed computing in support of scalable, multiresolution-based data exploration techniques

8. VR-based Remote Data Visualization Virtual reality techniques necessary to naturally interact with 3D, dynamic data streams Virtual reality techniques necessary to naturally interact with 3D, dynamic data streams Using CITRISnet to connect data centers and portals Using CITRISnet to connect data centers and portals Portals to ``concentrate’’ information and provide multiple views of data Portals to ``concentrate’’ information and provide multiple views of data Using Wireless connections between small devices and visualization centers Using Wireless connections between small devices and visualization centers Multiple groups interacting wth data in real time Multiple groups interacting wth data in real time CITRISnet Berkeley Santa Cruz MercedDavis…

9. Contributions of the UC Davis Visualization and Graphics Group Scalable interaction techniques for virtual environments Scalable interaction techniques for virtual environments Hybrid display environments - virtual environments, augmented virtuality, augmented reality, … Hybrid display environments - virtual environments, augmented virtuality, augmented reality, … Multiple levels of resolution and abstraction Multiple levels of resolution and abstraction Remote visualization over high-speed networks Remote visualization over high-speed networks Collaborative visualization for distributed viewing environments Collaborative visualization for distributed viewing environments Next-generation interface technology - voice, gesture, force, … Next-generation interface technology - voice, gesture, force, …