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. 

Faculty Supervisor:

Dr. Matei Ripeanu

Student:

Abdullah Gharaibeh

Partner:

Singular Software Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of British Columbia

Program:

Accelerate

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