Paper Info
Title
A new perceptual quality metric for compressed video
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.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4959738
ICASSP
Keywords
Field
DocType
new perceptual quality,standard video compression codecs,new metric,video quality,various video,new video quality,perceptual quality,subjective quality,mean squared error,h.264 video compression standard,index terms— quality metrics,proposed quality metric,compressed video,video sequence,visual quality,visual system,noise measurement,visualization,peak signal to noise ratio,correlation,testing,video compression,psnr,mean square error,codecs,data compression,distortion,indexing terms
Peak signal-to-noise ratio,Computer vision,Pattern recognition,Visualization,Computer science,Mean squared error,Artificial intelligence,Data compression,Distortion,Video quality,Codec,Rate–distortion optimization
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-2354-5
978-1-4244-2354-5
11
PageRank 
References 
Authors
1.12
5
3
Name
Order
Citations
PageRank
Abharana Bhat1372.89
Iain Richardson2403.33
Sampath Kannangara3404.40