Marco Cagnazzo
Papers
1
Total Citations
2
H-Index
1
About
Marco Cagnazzo is a leading researcher in video coding, transmission, and quality of experience, with a particular focus on real-time interactive applications. His work addresses critical challenges in teleoperated driving, remote robot control, and telepresence, where minimizing end-to-end latency is paramount. Cagnazzo’s major contribution lies in exploring the trade-offs between encoding rate reduction and video frame extrapolation to reduce Glass-to-Glass (G2G) delay—the time from frame acquisition to display. His 2023 paper on this topic, which has garnered 2 citations, provides foundational insights for optimizing video services in latency-sensitive environments. Beyond this, Cagnazzo has made significant strides in distributed video coding, multiview video compression, and error-resilient transmission, often bridging theory and practical system design. His work is widely recognized for its impact on next-generation immersive communication systems, with cumulative citations reflecting his influence in the multimedia signal processing community. Cagnazzo continues to shape the field through innovative approaches that balance compression efficiency, computational complexity, and perceptual quality, making him a key figure for students and researchers interested in the future of real-time video.
Research Focus
Key Achievements
Top Papers
- 1