Parametric Planning Model for Video Quality Evaluation of IPTV Services Combining Channel and Video Characteristics

Parametric planning models are designed for estimating the video quality, which can be applied to effective planning, implementation, and management of network video applications and communication networks. However, different from the bitstream-based evaluation models, the planning models are not al...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on multimedia 2017-05, Vol.19 (5), p.1015-1029
Main Authors: Song, Jiarun, Yang, Fuzheng, Zhou, Yicong, Gao, Shan
Format: Article
Language:English
Subjects:
Communication networks
Digital media
Distortion
IP (Internet Protocol)
IPTV
Mathematical models
Network planning
Packet loss
Planning
planning model
Probability distribution
Quality
Quality assessment
quality of experience (QoE) planning
Streaming media
Video communication
Video compression
Video data
video quality assessment
video streaming applications
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Parametric planning models are designed for estimating the video quality, which can be applied to effective planning, implementation, and management of network video applications and communication networks. However, different from the bitstream-based evaluation models, the planning models are not allowed to exploit the video streams, with only limited information available for use, i.e., a few general parameters predetermined by the service providers and network operators. In this paper, a parametric planning model combining channel and video characteristics is proposed to estimate the video distortion caused by packet loss for Internet protocol television (IPTV) services. More specifically, the probability distribution of the channel states is determined by detailed analysis of the channel characteristics. Then, considering the influence of burst packet loss and the temporal dependence between frames, several sequence-level and frame-level parameters for video quality evaluation are derived from the perspective of the probability distribution of the channel states. Utilizing these parameters, the proposed model approximates the video quality considering the effects of direct packet loss and error propagation. Experimental results show that the proposed model has a superior performance for video quality estimation than the three commonly used parametric planning models.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2016.2638621