Welcome to the LIVE-Viasat Real-World Satellite QoE Database
LIVE-Viasat Real-World Satellite QoE Database
Introduction
In the rapidly growing streaming service market, including satellite options, Internet Service Providers (ISPs) face the challenge of continually optimizing network performance to deliver superior video streaming quality, which is vital to optimize customer satisfaction. This pressing need has sparked a drive towards developing advanced Quality of Experience (QoE) prediction models, which are essential in enhancing streaming protocols and guaranteeing smooth viewing experiences for users. However, the efficacy of these models hinges on the availability of extensive, diverse datasets. To fill this critical data void, our study introduces the publicly available LIVE-Viasat Real-World Satellite QoE Database, with 179 videos from real-world streaming, encompassing a range of distortions. Enhanced by a study with 54 participants providing detailed QoE feedback, our work not only provides a rich analysis of the determinants of subjective QoE but also delves into how various streaming impairments influence user behavior, thereby offering a more holistic understanding of user satisfaction.
Various video frames from the LIVE-Viasat Real-World Satellite QoE Database.
We are making the LIVE-Viasat Real-World Satellite QoE Database available to the research community free of charge. If you use this database in your research, we kindly ask that you reference our papers listed below:
- Chen, B., Shang, Z., Bovik, A.C., Chung, J.W. and Lerner, D., 2024, October. A Real-World Satellite Video Subjective QOE Database. In 2024 IEEE International Conference on Image Processing (ICIP) (pp. 83-88). IEEE. [IEEE Xplore]
Download Link Here! Please fill the Google Form to get access to this database.
Database Description
Our dataset comprises 179 video clips, each ranging from 30 to 60 seconds, sourced from two different network mediums. A majority, 161 videos, were recorded using the Viasat satellite network in two operational modes: low-priority and normal mode to replicate diverse real-world user conditions and document a wide range of video distortions. The remaining 18 videos were sourced from The University of Texas at Austin Wired General Network, serving as a high-quality benchmark for comparison, illustrating user experiences typical of fiber optic networks against those provided by satellite services like Viasat.
Investigators
The investigators in this research are:
- Bowen Chen ( bwchen@utexas.edu ) -- Graduate student, Dept. of ECE, UT Austin.
- Zaixi Shang ( zxshang@utexas.edu ) -- Graduate student, Dept. of ECE, UT Austin.
- Jae Won Chung ( JaeWon.Chung@viasat.com ) -- Director of System Science, Viasat Inc.
- David Lerner ( david.lerner@viasat.com ) -- Head of QoE for Global Satellite Networks, Viasat Inc.
- Alan C. Bovik ( bovik@ece.utexas.edu ) -- Professor, Dept. of ECE, UT Austin / Visiting Professor, Dept. of ECE, CU Boulder
Copyright Notice
-----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------
Copyright (c) 2024 The University of Texas at Austin
All rights reserved.
Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute this database (the videos, the results and the source files) and its documentation for any purpose, provided that the copyright notice in its entirety appear in all copies of this database, and the original source of this database, Laboratory for Image and Video Engineering (LIVE, http://live.ece.utexas.edu) at the University of Texas at Austin (UT Austin, http://www.utexas.edu
), is acknowledged in any publication that reports research using this database.
The following paper/website are to be cited in the bibliography whenever the database is used as:
- Chen, B., Shang, Z., Bovik, A.C., Chung, J.W. and Lerner, D., 2024, October. A Real-World Satellite Video Subjective QOE Database. In 2024 IEEE International Conference on Image Processing (ICIP) (pp. 83-88). IEEE. [IEEE Xplore]
IN NO EVENT SHALL THE UNIVERSITY OF TEXAS AT AUSTIN BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS DATABASE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF TEXAS AT AUSTIN HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
THE UNIVERSITY OF TEXAS AT AUSTIN SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE DATABASE PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND THE UNIVERSITY OF TEXAS AT AUSTIN HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
-----------COPYRIGHT NOTICE ENDS WITH THIS LINE------------
Back to Quality Assessment Research page