DocumentCode
1232255
Title
Quality Evaluation of Motion-Compensated Edge Artifacts in Compressed Video
Author
Leontaris, Athanasios ; Cosman, Pamela C. ; Reibman, Amy R.
Author_Institution
Dolby Labs., Inc, Burbank, CA
Volume
16
Issue
4
fYear
2007
fDate
4/1/2007 12:00:00 AM
Firstpage
943
Lastpage
956
Abstract
Little attention has been paid to an impairment common in motion-compensated video compression: the addition of high-frequency (HF) energy as motion compensation displaces blocking artifacts off block boundaries. In this paper, we employ an energy-based approach to measure this motion-compensated edge artifact, using both compressed bitstream information and decoded pixels. We evaluate the performance of our proposed metric, along with several blocking and blurring metrics, on compressed video in two ways. First, ordinal scales are evaluated through a series of expectations that a good quality metric should satisfy: the objective evaluation. Then, the best performing metrics are subjectively evaluated. The same subjective data set is finally used to obtain interval scales to gain more insight. Experimental results show that we accurately estimate the percentage of the added HF energy in compressed video
Keywords
data compression; decoding; image resolution; motion compensation; video coding; compressed bitstream information; compressed video; decoded pixels; high-frequency energy; motion-compensated edge artifacts; Energy measurement; Hafnium; Image coding; Image reconstruction; Laboratories; Motion compensation; PSNR; Quality assessment; Video compression; Video sequences; Added high-frequency energy; Thurstone´s law; blocking artifacts; blur; motion-compensated edge artifact; objective metrics; paired comparison; subjective tests; video compression; video quality assessment; Algorithms; Artifacts; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Motion; Quality Control; Reproducibility of Results; Sensitivity and Specificity; Video Recording;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2007.891778
Filename
4130428
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