Title :
A new perceptual quality metric for compressed video
Author :
Bhat, Abharana ; Richardson, Iain ; Kannangara, Sampath
Author_Institution :
Robert Gordon Univ., Aberdeen
Abstract :
This paper presents a new video quality metric for automatically estimating the perceptual quality of compressed video sequences. Distortion measures such as the mean squared error (MSE) and the peak signal to noise ratio (PSNR) have been found to poorly correlate with visual quality at lower bit-rates. The proposed quality metric (MOSp) predicts perceptual quality of compressed video using sequence characteristics and the mean squared error (MSE) between the original and compressed video sequences. The metric has been tested on various video sequences compressed using the H.264 video compression standard at different bit-rates. Results show that the proposed metric has better correlation with subjective quality compared to popular metrics such as PSNR, SSIM and PSNRplus. The new metric is simple to compute and hence suitable for incorporation into real-time applications such as the standard video compression codecs inorder to improve the visual quality of compressed video sequences.
Keywords :
code standards; correlation methods; data compression; distortion; image sequences; mean square error methods; video coding; H.264 standard; compressed video sequence; correlation method; distortion measure; mean squared error; perceptual video quality metric; Code standards; Codecs; Distortion measurement; Humans; Noise measurement; PSNR; Testing; Video compression; Video sequences; Visual system; compressed video; mean squared error; perceptual quality; quality metrics; video quality;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4959738
