IMCL Stereoscopic Omnidirectional Image quality assessment Database (SOLID) - Phase II

Introduction

Stereoscopic omnidirectional images are eye-catching because of its realistic and immersive experience. Due to the extra depth perception provided by the stereoscopic omnidirectional images, it is desirable and urgent to evaluate the overall quality of experience (QoE) of these images, including image quality, depth perception, and so on. However most existing studies are based on 2D omnidirectional images and only image quality is taken into account. As a result, we establish the very first Stereoscopic OmnidirectionaL Image quality assessment Database (SOLID). Three subjective evaluating factors are considered in our database, namely image quality, depth perception, and overall QoE.

Download

We are making the IMCL Stereoscopic Omnidirectional Image quality assessment Database (SOLID) - Phase II 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:

» Jiahua Xu, Chaoyi Lin, Wei Zhou, Zhibo Chen "Subjective Quality Assessment of Stereoscopic Omnidirectional Image." Pacific-Rim Conference on Multimedia 2018.

To get the publicly available release of the database, Please fill THIS FORM and the source code will be sent to you.

Database Description

There are 6 high-quality reference stereoscopic omnidirectional images with the resolution of 8192 × 8192 in our database. The stereoscopic omnidirectional images are in the format of top-and-bottom that left and right view images are packed vertically. There are 3 depth levels for each reference stereoscopic omnidirectional image in our experiment: 1) zero disparity images where there is no disparity between left and right view images, 2) medium disparity images, and 3) large disparity images. To simulate the quality degradation, each reference image is compressed into BPG format with different quantization parameters or JPEG format with different quality parameters. The reference stereoscopic omnidirectional images are distorted either symmetrically or asymmetrically in our database. The symmetrical and asymmetrical distortion is determined according to whether the left and right view images are distorted with the same distortion level.

Copyright Notice

----------COPYRIGHT NOTICE STARTS WITH THIS LINE----------

Copyright (c) 2016 University of Science and Technology of China

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, Immersive Media Computing Lab (IMCL) at the University of Science and Technology of China (USTC), is acknowledged in any publication that reports research using this database.

The following paper is to be cited in the bibliography whenever the database is used as:

» Jiahua Xu, Chaoyi Lin, Wei Zhou, Zhibo Chen "Subjective Quality Assessment of Stereoscopic Omnidirectional Image." Pacific-Rim Conference on Multimedia 2018.

IN NO EVENT SHALL THE UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA 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 SCIENCE AND TECHNOLOGY OF CHINA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 

THE UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA 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 SCIENCE AND TECHNOLOGY OF CHINA HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.

----------COPYRIGHT NOTICE ENDS WITH THIS LINE----------