DeepRS: Deep-learning Based Network-Adaptive FEC for Real-Time Video Communications

TL;DR

This paper introduces DeepRS, a deep learning-based method that predicts packet loss patterns in real-time video streaming to improve error correction.

Contribution

It presents a novel deep learning approach for network-adaptive FEC tailored to real-time video communications.

Findings

Effective prediction of packet loss patterns

Improved video streaming quality

Enhanced error correction performance

Abstract

This work proposes an innovative approach to handle packet loss in real-time video streaming scenarios in a more sophisticated way -- Predicting packet loss pattern on time field by deep learning model.