Modeling Continuous Video QoE Evolution: A State Space Approach

05/16/2018
by   Nagabhushan Eswara, et al.
0

A rapid increase in the video traffic together with an increasing demand for higher quality videos has put a significant load on content delivery networks in the recent years. Due to the relatively limited delivery infrastructure, the video users in HTTP streaming often encounter dynamically varying quality over time due to rate adaptation, while the delays in video packet arrivals result in rebuffering events. The user quality-of-experience (QoE) degrades and varies with time because of these factors. Thus, it is imperative to monitor the QoE continuously in order to minimize these degradations and deliver an optimized QoE to the users. Towards this end, we propose a nonlinear state space model for efficiently and effectively predicting the user QoE on a continuous time basis. The QoE prediction using the proposed approach relies on a state space that is defined by a set of carefully chosen time varying QoE determining features. An evaluation of the proposed approach conducted on two publicly available continuous QoE databases shows a superior QoE prediction performance over the state-of-the-art QoE modeling approaches. The evaluation results also demonstrate the efficacy of the selected features and the model order employed for predicting the QoE. Finally, we show that the proposed model is completely state controllable and observable, so that the potential of state space modeling approaches can be exploited for further improving QoE prediction.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/18/2018

Streaming Video QoE Modeling and Prediction: A Long Short-Term Memory Approach

HTTP based adaptive video streaming has become a popular choice of strea...
research
07/10/2017

An Augmented Autoregressive Approach to HTTP Video Stream Quality Prediction

HTTP-based video streaming technologies allow for flexible rate selectio...
research
08/06/2023

MetaCast: A Self-Driven Metaverse Announcer Architecture Based on Quality of Experience Evaluation Model

Metaverse provides users with a novel experience through immersive multi...
research
01/26/2021

RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content

Blind or no-reference video quality assessment of user-generated content...
research
08/11/2020

SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity

This paper aims to improve video streaming by leveraging a simple observ...
research
03/19/2020

Convolutional Neural Networks for Continuous QoE Prediction in Video Streaming Services

In video streaming services, predicting the continuous user's quality of...
research
03/06/2017

Learning from Experience: A Dynamic Closed-Loop QoE Optimization for Video Adaptation and Delivery

The quality of experience (QoE) is known to be subjective and context-de...

Please sign up or login with your details

Forgot password? Click here to reset