Joint On-the-Fly Network Coding/Video Quality Adaptation for Real-Time Delivery

TL;DR

This paper presents a redundancy adaptation algorithm for Tetrys network coding that improves real-time video quality by dynamically adjusting redundancy based on network conditions, outperforming traditional FEC methods.

Contribution

The paper introduces a novel redundancy adaptation algorithm for Tetrys that enhances real-time video transmission quality under varying network conditions.

Findings

Up to 4 dB PSNR gain with Tetrys and adaptation.

Effective performance under variable loss and delay.

Outperforms FEC in quality and bandwidth efficiency.

Abstract

This paper introduces a redundancy adaptation algorithm for an on-the-fly erasure network coding scheme called Tetrys in the context of real-time video transmission. The algorithm exploits the relationship between the redundancy ratio used by Tetrys and the gain or loss in encoding bit rate from changing a video quality parameter called the Quantization Parameter (QP). Our evaluations show that with equal or less bandwidth occupation, the video protected by Tetrys with redundancy adaptation algorithm obtains a PSNR gain up to or more 4 dB compared to the video without Tetrys protection. We demonstrate that the Tetrys redundancy adaptation algorithm performs well with the variations of both loss pattern and delay induced by the networks. We also show that Tetrys with the redundancy adaptation algorithm outperforms FEC with and without redundancy adaptation.