A NOVEL FULL-REFERENCE VIDEO QUALITY ASSESSMENT METRIC FOR MULTIMEDIA BROADCASTING SYSTEMS
Keywords:
FR, VQA, HVS, DMOS, correlationAbstract
In this paper, A novel full reference (FR) video quality assessment (VQA) metric for the multimedia broadcasting systems is proposed. The relationships between the VQA parameters and the quality score obtained by the subjective human visual system (HVS) model of the distorted videos are investigated. Considering the multiple effects which have relationships with the subjective VQ, Spatial frequency analysis (SFA), MSSIM, Matched PSNR (MPSNR) and Edge degradation(ED) are employed to estimate the quality of the video sequences. The simulation results show that our proposed metric can give high correlation with the subjective video quality (VQ) score and has the immersive potential to realize the application to the end-users.
Downloads
References
H.R. Wu and K.R. Rao, “Digital video image quality and perceptive coding,” CRC Press Taylor & Francis
Group Boca Raton, London, New York, 2006.
M.H. Pinson and S. Wolf, “A new standardized method for objectively measuring video quality,” IEEE
Trans. on Broadcasting, vol. 50, no. 3, pp. 312, Sept. 2004.
D. Richard and X.D. Yang, “Existing and emerging image quality metrics”, in Proceeding of the IEEE Int.
Conf. on Electrical and Computer Engineering, pp. 1906-1913, May 2005.
J.S. Pan, F.R. Mclnnes, and M.A. Jack, “Bound for Minkowski metric or quadratic metric applied to VQ
codeword search”, IEEE Proceedings-Vision, Image and Signal Processing, vol.143, pp.67-71, Feb. 1996.
Mikhail Cherniakov, Jonathan Lo, “Structural correlation between signal and CW interference in the spread
spectrum systems”, in Proceeding of Global Telecommunications Conference , vol.4, Nov. 1998.
Avcibas I. Sankur B. and Sayood K., “Statistical evaluation of image quality measures”, Journal of
Electronic Imaging, vol.11, April 2002
ITU-T Recommendation J.144, “Objective perceptual video quality measurement techniques for digital
cable television in the presence of a full reference”.
Z. Wang, A.C. Bovik, H.R. Sheikh and E.P. Simoncelli, “Image quality assessment: from error visibility to
structural similarity”, IEEE Trans. on Image Processing, vol. 13, No. 4, Apr. 2004.
H.R. Sheikh, A.C. Bovik and G.D. Veciana, “An information fidelity criterion for image quality assessment
using natural scene statistics”, IEEE Trans. on Image Processing, vol.14, No.12, Dec. 2005.
Ziou D., Tabbone S., “Edge det ection techniques: an overview”, Pattern Recognition and Image Analysis,
vol.8, no.4, 1998.
T. Poggio and S. Smale, “The mathematics of learning: dealing with data”, Notices of the AMS 50, pp.536-
, 2003.
VQEG Phase I SDTV video sequences and DMOS, http://www.its.bldrdoc.gov/vqeg/
