ut ut

Laboratory for Image & Video Engineering

LIVE 3D Image Quality Database - Phase II

Introduction

Though the Phase I of LIVE 3D IQA database is a valuable resource for the reseach on 3D IQA, it only has symmetrically distorted stereo images. However, in the real world, a stereo image pair may be distorted symmetrically or asymmetrically. To provide a complete 3D IQA database, Phase II of LIVE 3D IQA database provide both symmetrically and aymmetrcially distorted stereo images annotated with subjective human ratings. Because a different human study was conducted to construct the Phase II database, it should be treated as an independent database. The phase II database also provides `true' depth and disparity information of all reference signals along with stereoscopic pairs and human opinion scores. A detailed introduction of the phase II of LIVE 3D IQA database can be found in the referece papers. We hope that this extension would be valuable to 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:

Ming-Jun Chen, Che-Chun Su, Do-Kyoung Kwon, Lawrence K. Cormack, Alan C. Bovik, "Full-reference quality assessment of stereopairs accounting for rivalry, Signal Processing: Image Communication, 2013.

Ming-Jun Chen, Lawrence K. Cormack, Alan C. Bovik, "No-Reference Quality Assessment of Natural Stereopairs," IEEE Transactions on Image Processing, vol.22, no.9, pp.3379~3391, Sept. 2013


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Database Description

The phaseII 3D IQA database consists of 8 reference images and 360 distorted images with co-registered human scores in the form of DMOS. For each distortion type, every reference stereopair was processed to create three symmetric distorted stereopairs and six asymmetric distorted stereopairs. Apart from human opinion scores for every distorted image, the database also provides researchers access with `true' depth information of every reference image obtained from a range scanner. 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. Ming-Jun Chen (mjchen@utexas.edu) - Graduated from UT Austin in 2012
  • Che-Chun Su (ccsu@utexas.edu) - Graduate student at UT Austin
  • Dr. Lawrence K. Cormack (cormack@utexas.edu) - Professor, Dept. of Psychology, UT Austin
  • Dr. Alan C. Bovik (bovik@ece.utexas.edu) - Professor, Dept. of ECE, UT Austin

Copyright Notice

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Copyright (c) 2013 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:

Ming-Jun Chen, Che-Chun Su, Do-Kyoung Kwon, Lawrence K. Cormack, Alan C. Bovik, "Full-reference quality assessment of stereopairs accounting for rivalry, Signal Processing: Image Communication, 2013.

Ming-Jun Chen, Lawrence K. Cormack, Alan C. Bovik, "No-Reference Quality Assessment of Natural Stereopairs," IEEE Transactions on Image Processing, vol.22, no.9, pp.3379~3391, Sept. 2013

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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