LIVE 3D Image Quality Database - Phase I
Introduction
Stereoscopic/3D Image and Video Quality Assessment (IQA/VQA) has become increasing relevant in today's world, owing to the amount of attention that has recently been focused on 3D/stereoscopic cinema, television, gaming, and mobile video. Understanding the quality of experience of human viewers as they watch 3D videos is a complex and multi-disciplinary problem. Important tools in the study of the quality of 3D visual signals are databases of 3D image and video sets, distorted versions of these signals and the results of large-scale studies of human opinions of their quality. We provide one such tool - the LIVE 3D IQA database, which is the first publicly available 3D IQA database. It also incorporates `true' depth and disparity information of all reference signals along with stereoscopic pairs and human opinion scores. We hope that it would be valuable to the image and video processing research community and supplement the LIVE Image/Video Quality Databases and advance the state-of-the-art in objective 3D image quality assessment.
Download
We are making the 3D Image 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 paper listed below:
A.K. Moorthy, C.-C. Su, A. Mittal and A.C. Bovik, “Subjective evaluation of stereoscopic image quality,” Signal Processing: Image Communication, to appear, 2012.
Database can be downloaded using the THIS link. Please fill THIS form and the password will be sent to you.
Database Description
The 3D IQA database consists of 20 reference images and 365 distorted images (80 each for JP2K, JPEG, WN and FF; 45 for Blur) with co-registered human scores in the form of DMOS. All distortions are symmetric in nature. Apart from human opinion scores for every distorted image, the database also provides researchers access with `true' depth and disparity information of every reference image obtained from a range scanner, which all of the above databases lack. The image and range data used in this study were collected using an advanced terrestrial range scanner, the RIEGL VZ-400, with a co-registered 12.1 megapixel Nikon D700 digital camera mounted on top of it.
Investigators
Quality Assessment research at LIVE is being conducted in collaboration with the Video Aware Wireless Networks ( VAWN ) program of the Intel & Cisco.
The investigators in this research are:
- Dr. Anush Krishna Moorthy (anushmoorthy@gmail.com) -- Graduated from UT Austin in 2012
- Che-Chun Su (chechunsu@mail.utexas.edu) – Graduate student at UT Austin
- Anish Mittal (mittal.anish@gmail.com) – Graduate student at UT Austin
- Dr. Alan C. Bovik (bovik@ece.utexas.edu) -- Professor, Dept. of ECE, UT Austin
Copyright Notice
-----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------
Copyright (c) 2012 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
) and Center for Perceptual Systems (CPS,
http://www.cps.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:
·A.K. Moorthy, C.-C. Su, A. Mittal and A.C. Bovik, “Subjective evaluation of stereoscopic image quality,” Signal Processing: Image Communication, to appear, 2012.
· URL: http://live.ece.utexas.edu/research/quality/live_3dimage_phase1.html
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.
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