Interactive and Collaborative Visualization and Exploration of Massive Data Sets

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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
• http//graphics.cs.ucdavis.edu

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Massive Data Visualization -The Challenge

• Massive amounts of data acquired by millions of
  multi-modal sensors embedded in civil
  infrastructure
• 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
• Real-time visualization for different groups
• Decision and policy makers
• Emergency response teams
• Civil engineers
• Major technological challenges!

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Collaborative Visualization

• Connection of multiple data exploration and
  visualization centers
• Collaborative data exploration by
  interdisciplinary expert teams

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The Technological Challenges

• Todays technology cannot visualize massive
  dynamic data in real time
• Automatically reduce data volume and preserve
  relevant characteristics
• Develop visualization systems providing support
  for distributed collaborative data exploration

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Distributed Environment
Visualization Portals
Data Exploration Center(s)
CITRISnet
Sensors
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UC Davis - Strength

• International leader in massive data
  visualization, complementing expertise of
  Berkeley and Santa Cruz
• Parallel and distributed visualization
• Networked immersive environments with
  multi-sensor integration
• Partners/potential partners Berkeley, Santa
  Cruz, LLNL, LBNL, intl partners (ETH Zurich, )

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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

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VR-based Remote Data Visualization

• Virtual reality techniques necessary to naturally
  interact with 3D, dynamic data streams
• Using CITRISnet to connect data centers and
  portals
• Portals to concentrate information and
  provide multiple views of data
• Using Wireless connections between small devices
  and visualization centers
• Multiple groups interacting wth data in real time

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Contributions of the UC Davis Visualization and
Graphics Group

• Scalable interaction techniques for virtual
  environments
• Hybrid display environments - virtual
  environments, augmented virtuality, augmented
  reality,
• Multiple levels of resolution and abstraction
• Remote visualization over high-speed networks
• Collaborative visualization for distributed
  viewing environments
• Next-generation interface technology - voice,
  gesture, force,