Artificial Intelligence

Interview Seminar -Generating Named Road Vector Data from Raster Maps"

Wednesday, December 12, 2012, 11:00am - 12:00pm PDTiCal
ISI- 6th fl Large Conference room 689
Yao-Yi Chiang - Computer Scientist Candidate


Yao-Yi Chiang - Computer Scientist Candidate
Date: Wed, Dec 12
Time: 11am-12 Noon
Location: 6th fl Large CR
Host: Craig Knoblock
Webcast link:
Raster maps contain rich road information, such as the topology and names of roads, but this information is "locked" in images and inaccessible in a geographic information system (GIS). Previous approaches for road extraction from raster maps typically handle this problem as raster-to-vector conversion and hence the extracted road vector data are line segments without the knowledge of road names and where a road starts and ends. This paper presents a technique that builds on the results from our previous road vectorization and text recognition work to generate named road vector data from raster maps. This technique first segments road vectorization results using road intersections to determine the lines that represent individual roads in the map. Then the technique exploits spatial relationships between roads and recognized text labels to generate road names for individual road segments. We implemented this approach in our map processing system, called Strabo, and demonstrate that the system generates accurate named road vector data on example maps with 92.83% accuracy
Dr. Yao-Yi Chiang is a postdoc researcher at the Information Sciences Institute and lecture at the Spatial Sciences Institute, both at the University of Southern California. Dr. Chiang received his Master and Ph.D. degrees in Computer Science from the University of Southern California in December, 2004 and September 2010, respectively; his degree in Computer Sciences; his Bachelor degree in Information Management from the National Taiwan University in June 2000. His general area of research is information integration, with a focus on discovery, extraction, and fusion of geospatial data from heterogeneous sources. Prior to USC, Yao-Yi worked as a research scientist for Geosemble Technologies (California, USA).
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