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

Autor:	Cheng, Sheng, Hu, Han, Zhang, Xinggong, Guo, Zongming
Rok vydání:	2020
Předmět:	Computer Science - Networking and Internet Architecture
Druh dokumentu:	Working Paper
Popis:	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. Comment: Accepted by ISCAS2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2001.07852 Zobrazit plný text záznamu View this record from Arxiv