National Science Foundation Engineering Research Center Faculty Cyrus Shahabi (DB) Craig Knoblock (AI) Ulrich Neumann (CG) Ram Nevatia (CV) Staff Farnoush Banaei-Kashani Luciano Nocera GeoDec: Enabling Geospatial Decision Making University of Southern California Los Angeles, CA PhD Students Ugur Demiryurek Jeff Khoshgozaran Songhua Xing Undergrad Student Fernando Arreola

National Science Foundation Engineering Research Center GeoDec Mission! Vision (What?): Rapidly and accurately building an information-rich and realistic geospatial space (e.g., a city) with temporal dimension, supporting visualization, querying and data analysis capabilities Challenges (How?): –Realistic rendering –Accurate information fusion –Interactive query and access –Scalable infrastructure –Efficient in time-to-build Applications (Why?): City planners Emergency response and first responders Military intelligence Simulation & training Computer games Real-estate News broadcast

National Science Foundation Engineering Research Center GeoDec Data Sources

National Science Foundation Engineering Research Center Outline Underlying Technologies –Building 3D Models –Static and Dynamic Textures –Geospatial Data Fusion –Effective Presentation and Querying Current Status and Future plan

National Science Foundation Engineering Research Center Outline Underlying Technologies –Building 3D Models –Static and Dynamic Textures –Geospatial Data Fusion –Effective Presentation and Querying Current Status and Future plan

National Science Foundation Engineering Research Center 3D Building Modeling Overview (Nevatia et. al)

National Science Foundation Engineering Research Center Large Site Modeling Example (USC Campus) 256 building components modeled in about two hours 3D models with texture rendered in VRML 3D building models rendered in VRML

National Science Foundation Engineering Research Center Example models

National Science Foundation Engineering Research Center Outline Underlying Technologies –Building 3D Models –Static and Dynamic Textures –Geospatial Data Fusion –Effective Presentation and Querying Current Status and Future plan

National Science Foundation Engineering Research Center Textures for building facades (Neumann et. al) Aerial views provide streets, roofs, and open spaces (parks, plazas, etc…) Ground views capture building facades –Occlusions from landscaping, poles, architectural protrusions (e.g., entry canopies) need to be removed –Requires fusion of images from multiple perspectives to see behind occlusions – methods to reduce parallax artifacts –Alternatively, portions of the textures need to be synthesized based on building-specific texture patterns App1-The Grand Ave. Project: “Allow people to explore the physical location of the Grand Avenue park virtually.” See:

National Science Foundation Engineering Research Center Social Image Mapping (SIM) Improving time-to-build Collaboration with NSF’s STC at UCLA: CENS: Center for Embedded Networked Sensing

National Science Foundation Engineering Research Center Social Image Mapping (SIM)

National Science Foundation Engineering Research Center Social Image Mapping (SIM)

National Science Foundation Engineering Research Center Dynamic Textures from Video Streams App2-The DC Project: Five video stream fusion on 3D models in an area at Washington DC

National Science Foundation Engineering Research Center Outline Underlying Technologies –Building 3D Models –Static and Dynamic Textures –Geospatial Data Fusion –Effective Presentation and Querying Current Status and Future plan

National Science Foundation Engineering Research Center TIGER/Line Vector Data Satellite Imagery Tram Route/Stop Map Automatic Vector to Imagery Conflation Automatic Map to Imagery Conflation Aligned Vector Data overlapped with the 3D model Aligned map overlapped with the 3D Model Goal: Vector, Map and Image Data Fusion (Knoblock & Shahabi) App3-The Grand Ave. Project: “3-D model of the proposed park area that has been enhanced with maps, road information, still photos, panoramic images and historical information about the unique art and architecture in the area.” See:

National Science Foundation Engineering Research Center Demo: Sponsors: NSF –IMSC –ITR –PECASE Google Annenberg Microsoft Chevron App4-The USC's 125th Anniversary: Adding moving objects and glove interface

National Science Foundation Engineering Research Center Outline Underlying Technologies –Building 3D Models –Static and Dynamic Textures –Geospatial Data Fusion –Effective Presentation and Querying Current Status and future plan

National Science Foundation Engineering Research Center Query Formation/Visualization – Negaah (Shahabi et. al) Negaah – New User Interface Supports formation of queries with user-defined spatio- temporal parameters Query types: –Range Spatial Temporal Spatiotemporal –shortest path –nearest neighbor –trajectories –events –objects (3D models, parcels, …) –Line of Sight

National Science Foundation Engineering Research Center Jooya Google EarthNegaahMS VE Darya Prometheus Unified Query Results GIS Datasets Gazetteer Data Vector/Raster Map Web pages Temporal Data GUI interface Unified Query Query Results Satellite/Aerial Images Video Streams Yima Video Streams Range Queries Video Vector Data Buildings Tram Location NN Queries Shortest Path Queries KML Files Conflation Static/Dynamic Textures iMVS Semi Automatic Processes

National Science Foundation Engineering Research Center Analysis & Process at Applications Arc GIS Arc Explorer Windows Live Local Google Earth GeoDec Paradigm Shift Analysis & Process at Data Servers Analysis & Process distributed between application & data Servers Complex appsScale-up

National Science Foundation Engineering Research Center So What’s unique about GeoDec? Not a visualization GUI with data access features added in an ad-hoc manner as an after thought! –Three tier architecture with distribution of code where it belongs –All objects are tagged and indexed spatially and temporally –Access at different tiers: GUI, Web-services, database Time dimension Extended querying capabilities We have the source code! –Go wild! Your ideas will not be hindered by the restricted API!

National Science Foundation Engineering Research Center Outline Underlying Technologies –Building 3D Models –Static and Dynamic Textures –Geospatial Data Fusion –Effective Presentation and Querying Current Status and future plan

National Science Foundation Engineering Research Center In the News… Lectures

National Science Foundation Engineering Research Center Where we’re going? Up to now, the focus was on: –Modeling and visualization –Acquisition, storage, integration of real datasets –Implementing the software architecture –Developing generic query types –Some “toy” applications: DC, USC campus, downtown LA What’s next: –GeoDec+: Challenges of Real applications, multidisciplinary collaboration (e.g., NSF CDI pre-proposal: pollution in Megacities w/ Keck School of Medicine, Env. & Civil Eng, Earth Science; School of Architecture) Dynamic datasets: climate data, pollutant data, transportation data, …

National Science Foundation Engineering Research Center GeoDec+: Vision Marrying –Information richness of GIS systems –Interaction flexibility of computer games & simulations Challenge: Query and access of real-world large spatio-temporal data as if they are synthetically generated data –Index 3d data (e.g., surface data) for querying and not just rendering

National Science Foundation Engineering Research Center Thanks!