Image/ Video Processing:
Prof. Xiem’s work in this domain is centered on improving video compression, quality assessment, and surveillance imaging (notably HEVC, VVC, and scalable coding methods):
1.1. Scalable & Distributed Video Coding (HEVC, SHVC, VVC)
He has extensively explored scalable video coding techniques—including HEVC, SHVC, and H.266/VVC—involving joint layer prediction, enhanced encoding efficiency, and error resilience.
Adaptive scalable video coding: An HEVC‑based framework combining the predictive and distributed paradigms (IEEE Trans. Circ. Syst. Video Technol., 2016) and HEVC backward compatible scalability… (Signal Processing: Image Communication, 2015) scholar.google.com+15Google Drive+15ResearchGate+15Google Drive+2scholar.google.com.au+2.
Fast QTMT for H.266/VVC Intra Prediction using Early‑Terminated Hierarchical CNN model (ATC 2021) Google Drive+1.
1.2. Quality Assessment & Enhancement
He has developed methods to assess and improve image/video quality, particularly in light field images and compressed artifacts:
Objective quality assessment metrics for light field image based on textural features (Electronics, 2022) scholar.google.com+15Google Drive+15scholar.google.com.au+15.
End‑to‑end image patch quality assessment for image/video with compression artifacts (IEEE Access, 2020) Google Drive+1.
Enhancing Depth Image Estimation for Underwater Robots by Combining Image Processing and Machine Learning (2025) Google Drivedblp.org+1.
ESRPCB: an Edge‑guided Super‑Resolution model and Ensemble learning for tiny PCB Defect detection (2025) ResearchGate+1