Perceptual Video Quality Measurement and Analysis

AT&T Engineering, 2018-19

Liaison(s): Ross Castillo, Harrison L. Hays V, Peshala V. Pahalawatta
Advisor(s): Timothy Tsai
Students(s): Alex Chang (S), Kanoa Gilliland (F), Anant Kandoi (S), Tianyi Ma (TL-F), Sati Smyth (TL-S), Emmanuel Solom (FE-F), Rebecca Wroblewski (F)

AT&T currently determines video streaming quality through expert opinion. The project streamlines this process with a data collection application and analysis tool. These applications allow AT&T experts to collect data from consumer-level users and analyze this information to determine optimal streaming parameters that maximize perceptual video quality while reducing cost. In building the analysis tool, the team investigated the connection between consumer-level preferences and objective video data to predict optimal streaming parameters based solely on objective metrics.