
Proceedings Paper
Video quality assesment using M-SVDFormat | Member Price | Non-Member Price |
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Paper Abstract
Objective video quality measurement is a challenging problem in a variety of video processing application ranging from
lossy compression to printing. An ideal video quality measure should be able to mimic the human observer. We present
a new video quality measure, M-SVD, to evaluate distorted video sequences based on singular value decomposition. A
computationally efficient approach is developed for full-reference (FR) video quality assessment. This measure is tested
on the Video Quality Experts Group (VQEG) phase I FR-TV test data set. Our experiments show the graphical measure
displays the amount of distortion as well as the distribution of error in all frames of the video sequence while the
numerical measure has a good correlation with perceived video quality outperforms PSNR and other objective measures
by a clear margin.
Paper Details
Date Published: 29 January 2007
PDF: 10 pages
Proc. SPIE 6494, Image Quality and System Performance IV, 649408 (29 January 2007); doi: 10.1117/12.696142
Published in SPIE Proceedings Vol. 6494:
Image Quality and System Performance IV
Luke C. Cui; Yoichi Miyake, Editor(s)
PDF: 10 pages
Proc. SPIE 6494, Image Quality and System Performance IV, 649408 (29 January 2007); doi: 10.1117/12.696142
Show Author Affiliations
Peining Tao, Graduate Ctr., CUNY (United States)
Ahmet M. Eskicioglu, Brooklyn College, CUNY (United States)
Published in SPIE Proceedings Vol. 6494:
Image Quality and System Performance IV
Luke C. Cui; Yoichi Miyake, Editor(s)
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