When you view a YouTube video, you are viewing tens of gigabytes compressed up to 50 times. The process to transmit what an HD camera captures requires large quantities of frame-by-frame video data transmission—and such is the case in sports broadcasting—it must happen fast. Computational complexity is high because sports coverage is real-time. “We can . . .
PI Saeid Nooshabadi (CS/ECE/CCSR), “SHF: Medium: Investigation Into the Parallel Architectures for the Efficient Implementation of MultiView Analytics for Intelligent Video Surveillance Systems,” NSF Read more at Tech Today.
PI Timothy C. Havens (ECE) and Co-PIs Laura Elizabeth Brown (CS), Saeid Nooshabadi (ECE) and Allan Struthers (Math), “BIGDATA: F: DKA: Heterogeneous Algorithms for Media Mining in Big Data Using Massively-Parallel Architectures,” National Science Foundation.