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A Linear Regression Framework For Assessing Time-Varying Subjective Quality in HTTP Streaming

Abstract: 

In an HTTP streaming framework, continuous time quality evaluation is necessary to monitor the time-varying subjective quality (TVSQ) of the videos resulting from rate adaptation. In this paper, we present a novel learning framework for TVSQ assessment using linear regression under the Reduced-Reference (RR) and the No-Reference (NR) settings. The proposed framework relies on objective short time quality estimates and past TVSQs for predicting the present TVSQ. Specifically, we rely on spatio-temporal reduced reference entropic differencing for RR and on a 3D convolutional neural network for NR quality estimations. While the proposed RR-TVSQ model delivers competitive performance with state-of-the-art methods, the proposed NR-TVSQ model outperforms state-of-the-art algorithms over the LIVE QoE database.

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Paper Details

Authors:
Dendi Sathya Veera Reddy, Soumen Chakraborty, Hemanth P. Sethuram, Kiran Kuchi, Abhinav Kumar
Submitted On:
12 November 2017 - 7:12am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Nagabhushan Eswara
Paper Code:
1410
Document Year:
2017
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Document Files

GlobalSIP2017_slides.pdf

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[1] Dendi Sathya Veera Reddy, Soumen Chakraborty, Hemanth P. Sethuram, Kiran Kuchi, Abhinav Kumar, "A Linear Regression Framework For Assessing Time-Varying Subjective Quality in HTTP Streaming", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2311. Accessed: Apr. 19, 2018.
@article{2311-17,
url = {http://sigport.org/2311},
author = {Dendi Sathya Veera Reddy; Soumen Chakraborty; Hemanth P. Sethuram; Kiran Kuchi; Abhinav Kumar },
publisher = {IEEE SigPort},
title = {A Linear Regression Framework For Assessing Time-Varying Subjective Quality in HTTP Streaming},
year = {2017} }
TY - EJOUR
T1 - A Linear Regression Framework For Assessing Time-Varying Subjective Quality in HTTP Streaming
AU - Dendi Sathya Veera Reddy; Soumen Chakraborty; Hemanth P. Sethuram; Kiran Kuchi; Abhinav Kumar
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2311
ER -
Dendi Sathya Veera Reddy, Soumen Chakraborty, Hemanth P. Sethuram, Kiran Kuchi, Abhinav Kumar. (2017). A Linear Regression Framework For Assessing Time-Varying Subjective Quality in HTTP Streaming. IEEE SigPort. http://sigport.org/2311
Dendi Sathya Veera Reddy, Soumen Chakraborty, Hemanth P. Sethuram, Kiran Kuchi, Abhinav Kumar, 2017. A Linear Regression Framework For Assessing Time-Varying Subjective Quality in HTTP Streaming. Available at: http://sigport.org/2311.
Dendi Sathya Veera Reddy, Soumen Chakraborty, Hemanth P. Sethuram, Kiran Kuchi, Abhinav Kumar. (2017). "A Linear Regression Framework For Assessing Time-Varying Subjective Quality in HTTP Streaming." Web.
1. Dendi Sathya Veera Reddy, Soumen Chakraborty, Hemanth P. Sethuram, Kiran Kuchi, Abhinav Kumar. A Linear Regression Framework For Assessing Time-Varying Subjective Quality in HTTP Streaming [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2311