Accelerating Automated Synchronization of Multiple-Camera Videos on multicore platforms.

This project aims to explore the feasibility of and the tradeoffs involved with accelerating multi-camera synchronization algorithms on multicore processors. Specifically, this project plans to explore acceleration using ‘traditional’ multicore CPUs and massively-parallel Graphics Processing Units (GPUs). PluralEyes, a product for synchronizing audio and video recordings released by Singular Software, a Vancouver-area company, is the software application informing this research and stands to directly benefit from the insights gained. 

Intern: 
Abdullah Gharaibeh
Faculty Supervisor: 
Dr. Matei Ripeanu
Province: 
British Columbia
Program: