VehiQL-Query Processing for Visual Data Streams
Project Abstract/Statement of Work:
The ubiquitous availability of inexpensive digital cameras has profoundly changed the world. Video is being produced at unprecedented rates. Continuous video processing and acquisition lies at the core of transformative advances in autonomous vehicles. As the number of cameras in each vehicle grows, autonomous vehicle researchers are acquiring voluminous libraries of in-vehicle video streams (e.g., the repository at Michigan’s transportation research institute). Our objective is to create an infrastructure for performing real-time analysis and information retrieval from such rich video libraries.