Real-time video quality monitoring

Tao Liu,Beibei Wang,Jeffrey Bloom,Ran Ding,Sitaram Bhagavathy,Glenn Cash,Niranjan Narvekar,Dekun Zou

doi:10.1186/1687-6180-2011-122

Tao Liu, Beibei Wang + Show 6 more

Open Access

https://doi.org/10.1186/1687-6180-2011-122

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Abstract

The ITU-T Recommendation G.1070 is a standardized opinion model for video telephony applications that uses video bitrate, frame rate, and packet-loss rate to measure the video quality. However, this model was original designed as an offline quality planning tool. It cannot be directly used for quality monitoring since the above three input parameters are not readily available within a network or at the decoder. And there is a great room for the performance improvement of this quality metric. In this article, we present a real-time video quality monitoring solution based on this Recommendation. We first propose a scheme to efficiently estimate the three parameters from video bitstreams, so that it can be used as a real-time video quality monitoring tool. Furthermore, an enhanced algorithm based on the G.1070 model that provides more accurate quality prediction is proposed. Finally, to use this metric in real-world applications, we present an example emerging application of real-time quality measurement to the management of transmitted videos, especially those delivered to mobile devices.

Highlights

With the increase in the volume of video content processed and transmitted over communication networks, the variety of video applications and services has been steadily growing
We propose efficient estimation methods that allow G.1070 to be extended from a planning tool to a real-time video quality monitoring tool
Notice that as packet loss increases the number of bit rate estimates decreases, since fewer video frames are received at the decoder

Summary

Introduction

With the increase in the volume of video content processed and transmitted over communication networks, the variety of video applications and services has been steadily growing. The most commonly used methods for assessing visual quality are designed to predict subjective quality ratings on a set of training data [1] Many of these methods rely on access to an original undistorted version of the video under test. There has been significant progress in the development of such tools They are not directly useful for many of the new video applications and services in which the quality of a target video must be assessed without access to a reference. 1070 as a planning tool The ITU-T Recommendation G.1070 is an opinion model for video telephony applications It proposes a quality measuring algorithm for QoE/QoS planning.

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