LIVE Wild Compressed Video Quality Database
Description
In recent years, the number of UGC videos that are uploaded daily has increased to an incredible degree. Most of these contributors are amateur videographers having limited skills and uncertain hands, hence, the qualities of these video uploads varies significantly over a very wide range. These UGC videos are then uploaded onto Internet servers, and pass through multiple processing stages, before being streamed to potentially millions of clients. These uploaded UGC videos will often be corrupted by any of many possible distortions (exposure, shake, multiple types of noise or blur and many more). The stages of processing may introduce further defects, including any additional video coding.
For example, when a video is recorded, it may be compressed within a device before being uploaded. After being uploaded to a server, the video may be further compressed for storage and transmission.
Under this scenario, the uploaded video may already suffer from mixed in-capture distortions, against which there are no reference videos of 'pristine' quality, hence FR/RR VQA models may fail if used to predict the quality of the pre-distorted/multiply-compressed video. While it would be desirable to directly apply an NR VQA model, to the ultimate compressed output, current NR algorithms are insufficiently general to effectively conduct this very complex task. There is also a lack of dedicated databases designed to model this scenario. There appears to be a database that may relate to this problem, but it is not publicly available. Towards filling this gap, we created a new database, called the LIVE Wild Compressed Video Quality Database, which contains hundreds of compressed UGC videos, including the source (reference) videos.
Investigators
Xiangxu Yu - Graduate Student - email: yuxiangxu@utexas.edu
Neil Birkbeck - Software Engineer at Google - email: birkbeck@google.com
Yilin Wang - Software Engineer at Google - email: yilin@google.com
Christos G. Bampis - Software Engineer at Netflix - email: cbampis@gmail.com
Balu Adsumilli - Manager at Google - email: badsumilli@google.com
Alan Bovik
- Professor - email:
bovik@ece.utexas.edu
Download
We are making the LIVE Wild Compressed Video Quality 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:
- X. Yu, N. Birkbeck, Y. Wang, C. G. Bampis, B. Adsumilli and A. C. Bovik, "Predicting the Quality of Compressed Videos with Pre-Existing Distortions", submitted to IEEE Transactions on Circuits and Systems for Video Technology. [paper]
You can download the publicly available videos together with the subjective data. Please fill THIS FORM and the downloading link will be sent to you.
Copyright Notice
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Copyright (c) 2020 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 images, 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:
- X. Yu, N. Birkbeck, Y. Wang, C. G. Bampis, B. Adsumilli and A. C. Bovik, "Predicting the Quality of Compressed Videos with Pre-Existing Distortions", submitted to IEEE Transactions on Circuits and Systems for Video Technology. [paper]
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.
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