Anthony Trioux
Papers
1
Total Citations
2
H-Index
1
About
Anthony Trioux is a researcher focused on advancing real-time video communication for latency-critical applications such as teleoperated driving, remote robot control, and telepresence. His work centers on minimizing the Glass-to-Glass (G2G) delay—the critical time between video frame acquisition and display—to enable seamless, high-quality remote interaction. In his notable 2023 study, Trioux systematically compares two key strategies for G2G delay reduction: encoding rate reduction and video frame extrapolation. By analyzing their trade-offs between latency, bandwidth, and visual quality, he provides practical insights for optimizing video services in immersive and autonomous systems. Though his citation count is still growing, his contributions are foundational to emerging fields where real-time responsiveness is paramount. Trioux’s research bridges the gap between video compression theory and real-world deployment, offering engineers and developers actionable frameworks for building more responsive telepresence and control systems. His work is particularly valuable for students and researchers exploring low-latency video streaming, edge computing, and human-in-the-loop automation.
Research Focus
Key Achievements
Top Papers
- 1