ut ut

Laboratory for Image & Video Engineering

Welcome to the LIVE Public-Domain Subjective Mobile Stall Video Database

LIVE Mobile Stall Video Database

Introduction

Video content delivery and consumption over wireless networks grow exponentially as mobile devices and video applications are widely used. We have created a new mobile video database that models distortions caused by network impairments. In particular, we simulate stalling events and startup delays in over-the-top (OTT) mobile streaming videos. Our newly designed and created LIVE Mobile Stall Video Database contains a total of 176 videos generated from 24 reference videos with 26 unique stalling events. LIVE Mobile Stall Video database also includes the subjective study details; 4830 human opinions obtained from 54 subjects who viewed the videos on mobile devices. We hope that our database will serve as a valuable resource to enable the efforts of the research community to build better QoE predictive models and to benchmark their performance to advance the state-of-the-art in user-centric mobile network planning and management.

Download

We are making LIVE Mobile Stall Video Database available to the research community free of charge. If you use this database in your research, we kindly ask that you to cite our paper listed below:

  • D. Ghadiyaram, A.C. Bovik, H. Yeganeh, R. Kordasiewicz, and M. Gallant, "Study of the effects of stalling events on the quality of experience of mobile streaming videos," IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014 [PDF]
  • D. Ghadiyaram, A.C. Bovik, H. Yeganeh, R. Kordasiewicz, and M. Gallant, "LIVE Mobile Stall Video Database," Online: http://live.ece.utexas.edu/research/LIVEStallStudy/index.html, 2016.

You can download the database by clicking THIS link. Please fill THIS FORM and the password will be sent to you.

Database Description

The goal of our study is to understand the influence of dynamic network impairments such as stalling events on Quality of Experience of users watching videos on mobile devices. The LIVE Mobile Stall Video database consists of 176 distorted videos generated from 24 reference videos with 26 unique stalling events and 4830 human opinions obtained from 54 subjects who viewed the videos on Apple iPhone devices. We chose 24 High Definition (HD) creative commons licensed videos (have audio included) from YouTube and Vimeo which can be categorized into - sports (9), talk shows / documentaries (8), music (2), advertisements (3), and newscasts (2). Each reference video was preprocessed to realistically introduce stall impairments, thus generating 176 distorted videos. The Difference Mean Opinion Scores (DMOS) obtained from the subjective evaluations, along with the videos, are available as part of the database.

Investigators

The investigators in this research are:

Copyright Notice

-----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------
Copyright (c) 2016 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 papers are to be cited in the bibliography whenever the database is used as:

  • D. Ghadiyaram, A.C. Bovik, H. Yeganeh, R. Kordasiewicz, and M. Gallant, "Study of the effects of stalling events on the quality of experience of mobile streaming videos," IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014 [PDF]
  • D. Ghadiyaram, A.C. Bovik, H. Yeganeh, R. Kordasiewicz, and M. Gallant, "LIVE Mobile Stall Video database," Online: http://live.ece.utexas.edu/research/LIVEStallStudy/index.html, 2016.

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