Enhancing Video Streaming Using Real-Time Gaze Tracking

Abstract

We propose a gaze-adaptive streaming approach that exploits real-time eye-tracking to prioritize foveated regions. Prototype evaluations show bandwidth savings while preserving perceived quality by allocating higher fidelity near gaze and reducing quality in peripheral areas. The results demonstrate the feasibility of integrating eye-tracking into QoE-aware streaming pipelines.

BibTeX

@inproceedings{voigtantons2016c40,
  author    = {Arndt, S. and Antons, J.-N.},
  title     = {Enhancing Video Streaming Using Real-Time Gaze Tracking},
  year      = {2016},
  booktitle = {Paper presented at the 5th International Workshop on Perceptual Quality of Systems (PQS 2016), Berlin, Germany},
  doi       = {10.21437/PQS.2016-2},
}