Stereoscopic Image Retargeting Database
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Introduction
During the last few decades, 3D/stereoscopic technologies and applications have been widely used in various multimedia scenarios. Compared with the quality assessment of traditional 2D image/video, 3D quality assessment is more sophisticated which involves multiple quality dimensions such as visual comfort, image quality, and depth quality. However, much less work has been done on the perceptual evaluation of stereoscopic image retargeting. Therefore, we build a Stereoscopic Image Retargeting Database (SIRD) to study the perceptual quality of stereoscopic image retargeting.
Database Description
Stereoscopic Image Retargeting Database (SIRD) contains source images and retargeted images produced by four typical stereoscopic retargeting methods. Specifically, this database consists of 100 source images and 400 retargeted images generated by stereo cropping, stereo seam carving, stereo scaling and stereo multi-operator four stereoscopic retargeting methods. Then, the subjective experiment is conducted to assess four aspects of visual distortion, i.e. visual comfort, image quality, depth quality and the overall quality.
Get Database
We are making Stereoscopic Image Retargeting 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:
[1] Ya Zhou, Wei Zhou, Ping An and Zhibo Chen, "Visual Comfort Assessment for Stereoscopic Image Retargeting", IEEE International Symposium on Circuit and Systems, 2018 (to be published).
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Copyright Notice
Copyright (c) 2018 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 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 University of Science and Technology of China (USTC), is acknowledged in any publication that reports research using this database. The research is to be cited in the bibliography whenever the database is used as:
Ya Zhou, Wei Zhou, Ping An and Zhibo Chen, "Visual Comfort Assessment for Stereoscopic Image Retargeting".
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 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 UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.