MOtion-based Video Integrity Evaluation (MOVIE) Index
Our paper won the IEEE Signal Processing Society Young Author Best Paper Award for 2013: http://www.signalprocessingsociety.org/uploads/awards/Young_Author_Best_Paper.pdf
We are making a software implementation of the MOVIE index available to the research community free of charge. If you use this software in your research, we ask that you kindly reference our paper listed below:
- K. Seshadrinathan and A. C. Bovik, "Motion Tuned Spatio-temporal Quality Assessment of Natural Videos", vol. 19, no. 2, pp. 335-350, IEEE Transactions on Image Processing , Feb. 2010.
Introduction
Since video signals are being delivered to human end users in an increasingly wide array of applications and products, it is important that automatic methods of video quality assessment be available that can assist in controlling the quality of video being delivered to this critical audience. Naturally, the quality of motion representation in videos plays an important role in the perception of video quality, yet existing video quality assessment algorithms make little direct use of motion information, thus limiting their effectiveness. The MOtion-based Video Integrity Evaluation (MOVIE) index for video quality assessment utilizes a general, spatio-spectrally localized multiscale framework for evaluating dynamic video fidelity that integrates both spatial and temporal (and spatio-temporal) aspects of distortion assessment. Video quality is evaluated not only in space and time, but also in space-time, by evaluating motion quality along computed motion trajectories. The MOVIE index delivers quality scores that correlate quite closely with human subjective judgment, using the Video Quality Expert Group (VQEG) FRTV Phase 1 database and the LIVE Video Quality Database. Indeed, the MOVIE index is found to be quite competitive with, and even outperform, algorithms developed and submitted to the VQEG FRTV Phase 1 study, as well as more recent VQA algorithms tested on both databases.
Software Download
MOVIE was developed using C++ and we provide source code and compilation instructions for both Windows/Linux users. Please send an email to Kalpana Seshadrinathan ( kalpana.seshadrinathan@ieee.org ) with your affiliation and reason for interest in MOVIE to obtain passwords to the encrypted zip files below.
GCC on Linux/Cygwin : Download here.
Compilation: Run the script "setup.sh" to make MOVIE. MOVIE uses the GNU Scientific Library (GSL) that can be obtained from http://www.gnu.org/software/gsl/ .
Usage: Usage of MOVIE is described in README.txt..
Microsoft Visual Studio 2005 on Windows : Download here.
Compilation: MOVIE was developed and tested using GCC in Linux and has been ported to Windows to support Windows users. The Visual Studio project file provided here has been tested on Microsoft Visual Studio 2005 and testing in other environments is left to users. MOVIE uses the GNU Scientific Library (GSL) and GSL for Windows can be obtained from http://gnuwin32.sourceforge.net/packages/gsl.htm .
Usage: Usage of MOVIE is described in README.txt..
Investigators
The investigators in this research are:
Copyright Notice
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Copyright (c) 2009 The University of Texas at Austin
All rights reserved.
Permission to use, copy, or modify this software and its documentation for educational and research purposes only and without fee is hereby granted, provided that this copyright notice and the original authors' names appear on all copies and supporting documentation. This program shall not be used, rewritten, or adapted as the basis of a commercial software or hardware product without first obtaining permission of the authors. The authors make no representations about the suitability of this software for any purpose. It is provided "as is" without express or implied warranty.
The following paper is to be cited in the bibliography whenever the software is used as:
- K. Seshadrinathan and A. C. Bovik, "Motion Tuned Spatio-temporal Quality Assessment of Natural Videos", vol. 19, no. 2, pp. 335-350, IEEE Transactions on Image Processing , Feb. 2010.
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 SOFTWARE 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 SOFTWARE 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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