Goal: This project aims to study user perception of various video content types, from traditional videos to Virtual Reality videos, 3D Mesh, and user-generated content. The main task is to identify the factors that affect users' perception of video content. Various modelling approaches are then applied to build models that can accurately predict user perception of a given content.
Topics
Point Cloud / Volumetric Video QoE Modeling
3D Mesh QoE Modelling
Short-form video QoE Modeling
Publications
Duc V. Nguyen, Huyen T. T. Tran, Impacts of Swipe Delay on User Quality of Experience in Short Video Streaming
Nguyen Thi Quynh Ly, Duc V. Nguyen, Truong Thu Huong Pham Ngoc Nam, "Improve Rendering of Dynamic 3D Meshes in WebVR Environments with QoE-aware Level of Detail Adaptation", The 31st International Conference on 3D Web Technology, Doha Qatar, pp. -., Oct. 2026.
Duc V. Nguyen, Nguyen Thi Quynh Ly, Truong Thu Huong, Quality Assessment of Dynamic 3D Model in Virtual Reality: Effects of Level of Detail and Viewing Distance, 2025 International Symposium on Multimedia (ISM), Naples, Italy, 2025, pp. 323-326. (pdf, slides)
Duc V. Nguyen, N. L. Quang, T. T. Hien, N. N. Huyen, T. T. Huong and P. N. Nam, "Modeling User Quality of Experience in Adaptive Point Cloud Video Streaming," 2024 International Symposium on Multimedia (ISM), Tokyo, Japan, 2024, pp. 49-54, doi: 10.1109/ISM63611.2024.00013.