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VQone MATLAB toolbox: A graphical experiment builder for image and video quality evaluations

Authors: Nuutinen, Mikko; Virtanen, Toni; Rummukainen, Olli; Häkkinen, Jukka;

VQone MATLAB toolbox: A graphical experiment builder for image and video quality evaluations

Abstract

Description This package contains a MATLAB toolbox for visual quality evaluation. If you use this software or part of it in your research, we kindly ask that you cite the following paper: M. Nuutinen, T. Virtanen, O. Rummukainen, J. Häkkinen, "VQone MATLAB toolbox: A graphical experiment builder for image and video quality evaluations" Behavior Research Methods, 2015, doi:10.3758/s13428-014-0555-y. [pdf]. Documentation The pdf manual contains introduction to usage of the toolbox and the changelog. The toolbox is provided as is, no other instructions or additional training is not provided. Download The Toolbox was developed under Matlab R2012a in Windows 7 environment. VersionTested Matlab DistributionTested OSFile V0.1 7.14.0.739 (R2012a) Windows 7 List of our academic studies Here is a list of our academic studies in which the VQone toolbox has been used for collecting subjective ratings: Virtanen T., Nuutinen M., Leisti T., Radun J., Häkkinen J. (2015). Alternative performance metrics and target values for the CID2013 database. Proc. of SPIE/IS&T Electronic Imaging 2015, Image Quality and System Performance XII. San Francisco, California, USA, 8.-12.2.2015, [9396-0Q]. Virtanen, T., Nuutinen, M., Vaahteranoksa, M., Oittinen, P. & Häkkinen, J. (2015). CID2013: a database for evaluating no-reference image quality assessment algorithms. IEEE Transactions on Image Processing. 24(1), Pages 390-402. Nuutinen M., Virtanen T., Leisti T., Mustonen T., Radun J., Häkkinen J. (2014). A new method for evaluating the subjective image quality of photographs: Dynamic Reference, Multimedia Tools and Applications. doi:10.1007/s11042-014-2410-7. Nuutinen, M., Virtanen, T. & Oittinen, P. (2014). Image feature subsets for predicting the quality of consumer camera images and identifying quality dimensions. Journal of Electronic Imaging, 23(6), 061111. Radun, J., Leisti, T., Virtanen, T., Nyman, G., & Häkkinen, J. (2014). Why is quality estimation judgment fast? Comparison of gaze control strategies in quality and difference estimation tasks. Journal of Electronic Imaging, 23(6), 061103. Leisti T., Radun J., Virtanen, T., Nyman G., Häkkinen J. (2014). Explaining can enhance visual decision making. Acta Psychologica 145, Pages 65–74. Nuutinen, M., Virtanen, T., Valkonen, V., & Oittinen, P. (2013). Automatic exposure and white balance control in video cameras: Time course characterization and preference. Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis 2013, p. 25–29. Hakola, V. (2013). The Impact of Video Sequence Length and Distortion Position in Perceived Quality. MSc. Thesis, Aalto University School of Science, Degree Programme of Computer Science and Engineering, 2013. 71 pages. Nuutinen, M., Orenius, O., Säämänen, T., Oittinen, P. (2012). A Framework for Measuring Sharpness in Natural Images Captured by Digital Cameras Based on Reference Image and Local Areas. EURASIP Journal on Image and Video Processing, 2012(8). Nuutinen, M., Virtanen, T., Oittinen, P. (2012). Features for predicting quality of images captured by digital cameras. Proceedings of the IEEE International Symposium on Multimedia 2012. p. 165-168. Nuutinen, M., Orenius, O., Säämänen, T., Oittinen, P. (2011). Potential of face area data for predicting sharpness of natural images. Proc. of SPIE/IS&T Electronic Imaging 2011, Image Quality and System Performance VIII. San Francisco, California, USA, 23.-27.1.2011, [7876-36]. Nuutinen, M., Orenius, O., Säämänen, T., Oittinen, P. (2011). Reference image method for measuring quality of photographs produced by digital cameras. Proc. of SPIE/IS&T Electronic Imaging 2011, Image Quality and System Performance VIII. San Francisco, California, USA, 23.-27.1.2011. [7876-22]. Copyright The VQone software is Copyright © 2014 by Visual Cognition Research Group. Contact: Toni Virtanen, (firstname.lastname ( at ) helsinki.fi). The software package is free software; you can redistribute it and/or modify it under terms of GNU General Public License as published by the Free Software Foundation. For more details see license at www.gnu.org. As stated in the GNU General Public License it is not possible to include this software package or even parts of it in a proprietary program without written permission from the owners of the copyright.

see our research group website: http://www.helsinki.fi/psychology/groups/visualcognition/

Related Organizations
Keywords

Image rating, MATLAB, Image quality, video rating, Computer software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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