Abstract
3D quality assessment (QA) has been widely studied in recent years, however, the depth perception and its influence to stereoscopic image’s quality is still not mentioned. To the best of our knowledge the proposed approach is the first attempt in stereo perception’s salience assessment of stereoscopic image. We research how depth perception’s salience influences the quality of stereoscopic image. Under the assumptions that humans acquire different depth perception to the stereoscopic images with different discrepancy, four groups of multiview’s images with parallel camera structure are chosen to test. By comparing the results of the proposed model and the subjective experiment, it shows that the proposed model has good consistency with the subjective experiment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
L. Goldmann, F. De Simone, and T. Ebrahimi. A comprehensive database and subjective evaluation methodology for quality of experience in stereoscopic video. Electronic Imaging (EI), 3D Image Processing (3DIP) and Applications (2010).
ITU-T, “Subjective video quality assessment methods multimedia applications”, Rec. P.910 (2008).
Payman Aflaki, Miska M. Hannuksela, Jukka Häkkinen, Paul Lindroos and Moncef Gabbouj, “Subjective study on compressed asymmetric stereoscopic video”, in ICIP 2010, pp.4021–4024, Sep (2010).
Alexandre Benoit, Patrick Le Callet, Patrizio Campisi and Romain Cousseau, “Quality assessment of stereoscopic images”. EURASIP Journal on Image and Video Processing, Volume (2008).
Z.M.P. Sazzad, S. Yamanaka, et al., “Stereoscopic Image Quality Prediction”, International Workshop on Quality of Multimedia Experience, San Diego, CA, U.S.A. (2009).
Y. Zhao, Z.Z. Chen, C. Zhu, Y.P. Tan, and L. Yu, “Binocular just-noticeable-difference model for stereoscopic images,” IEEE Trans. Signal Processing, vol. 18, no. 1, pp.19–22, January (2011).
A. Boev, A. Gotchev, K. Egiazarian, A. Aksay and G. Akar, “Towards compound stereo-video quality metric: aspecific encoder-based framework,” Proc. of the 17th Southwest Symposium on Image Analysis and Interpretation(SSIAI 2006), Denver, CO, USA, pp. 218–222, March (2006).
Liyuan Xing, Junyong You, Touradj Ebrahimi, Andrew Perkis, “A perceptual quality metric for stereoscopic crosstalk perception”, in ICIP 2010, pp.4033–7, Sep (2010).
I. P. Howard and B. J. Rogers, “Binocular Vision and Stereopsis,” Oxford University Press, Oxford ISBN 0-19-508476-4 (1995).
S. S. Intille and A. F. Bobick. Disparity-space images and large occlusion stereo. In Proc. of the 3rd Euro- pean Conf. on Comp. Vision, pages 179–186 (1994)
Y. Mori, N. Fukushima, T. Yendo, T. Fujii, M. Tanimoto, View generation with 3D warping using depth information for FTV, Image Communication, vol. 24, issue 1–2, 2009, pp. 65–72
J. P. Lewis, “Fast normalized cross-correlation,” Vision Interface, 1995.
Acknowledgements
This work was supported in part by the National Science Foundations of China:60736043 and the Major State Basic Research Development Program of China (973 Program 2009CB320905)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media, LLC
About this paper
Cite this paper
Feng, Q., Xiaopeng, F., Debin, Z. (2013). Stereo Perception’s Salience Assessment of Stereoscopic Images. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_28
Download citation
DOI: https://doi.org/10.1007/978-1-4614-3501-3_28
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-3500-6
Online ISBN: 978-1-4614-3501-3
eBook Packages: Computer ScienceComputer Science (R0)