The rapid growth of visual data—from video streaming, augmented reality, autonomous systems, surveillance, and wearable devices—has created unprecedented challenges in large-scale and real-time visual analysis. Effectively processing this data requires a combination of cloud-based infrastructure and edge computing, balancing scalability with low-latency decision-making. You will explore industry and academic advancements in cloud and edge-based visual processing, covering topics such as real-time inference, distributed computing, compression techniques, and AI-driven analytics. You will read and lead discussions on key papers and collaborate on a semester-long project in groups of 2-3, tackling real-world challenges in scalable and real-time visual analysis.
Date/time: Monday & Wednesday, 12:30pm–1:45pm
Location: Howey Physics | Room S107
Announcements
[10/13]: Register midterm project presentation slots by the end of Friday, Oct 17!
[9/3]: Register project proposal presentation slots by the end of Sunday, Sep 07!
[8/21]: Check your assigned paper for presentation on Ed
[8/18]: Rank your paper presentation preferences by 5PM on Wednesday, August 20!
[8/18]: Welcome to Large Scale & Real-Time Visual Analysis!
Teaching Team
Instructor: Francisco Romero <faromero@gatech.edu>
TA: Tianji Yang <tyang425@gatech.edu>
Office hours
Francisco: Wednesdays 2pm – 3pm, or by appointment (Klaus 3142)
Tianji: Mondays 9:30am – 10:30am (Klaus, 3rd Floor Public Area Near Bridge)
Tools and Platforms
Gradescope (grades, paper review, guest lecture summaries, and project report submissions)
Ed (annoucements, questions, feedbacks, and discussion forum)