Title :
Prediction of the real-time video streaming performance based on the peer connection statistics
Author :
Julius Skirelis;Art?ras Serackis
Author_Institution :
Department of Electronic Systems, Vilnius Gediminas Technical University, Naugarduko g. 41-426, LT-03227, Lithuania
Abstract :
The aim of the investigation presented in this paper was to design a video stream performance predictor, which could be used for adaptive video streaming applications. The neural networks based predictors were analyzed in this paper. An experimental investigation was performed in order to test the once trained predictors on a real WebRTC statistical data, recorded in dynamically changing mobile data throughput conditions.
Keywords :
"Streaming media","Training","Neurons","Delays","Biological neural networks","Mobile communication","WebRTC"
Conference_Titel :
Information, Electronic and Electrical Engineering (AIEEE), 2015 IEEE 3rd Workshop on Advances in
DOI :
10.1109/AIEEE.2015.7367314
