Video quality assesment using M-SVD

Peining Tao; Ahmet M. Eskicioglu

doi:10.1117/12.696142

29 January 2007 Video quality assesment using M-SVD

Peining Tao, Ahmet M. Eskicioglu

Proceedings Volume 6494, Image Quality and System Performance IV; 649408 (2007) https://doi.org/10.1117/12.696142
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Peining Tao and Ahmet M. Eskicioglu "Video quality assesment using M-SVD", Proc. SPIE 6494, Image Quality and System Performance IV, 649408 (29 January 2007); https://doi.org/10.1117/12.696142

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