
Proceedings Paper
A no-reference video quality assessment metric based on ROIFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
A no reference video quality assessment metric based on the region of interest (ROI) was proposed in this paper. In the
metric, objective video quality was evaluated by integrating the quality of two compressed artifacts, i.e. blurring
distortion and blocking distortion. The Gaussian kernel function was used to extract the human density maps of the
H.264 coding videos from the subjective eye tracking data. An objective bottom-up ROI extraction model based on
magnitude discrepancy of discrete wavelet transform between two consecutive frames, center weighted color opponent
model, luminance contrast model and frequency saliency model based on spectral residual was built. Then only the
objective saliency maps were used to compute the objective blurring and blocking quality. The results indicate that the
objective ROI extraction metric has a higher the area under the curve (AUC) value. Comparing with the conventional
video quality assessment metrics which measured all the video quality frames, the metric proposed in this paper not only
decreased the computation complexity, but improved the correlation between subjective mean opinion score (MOS) and
objective scores.
Paper Details
Date Published: 8 February 2015
PDF: 14 pages
Proc. SPIE 9396, Image Quality and System Performance XII, 93960Z (8 February 2015); doi: 10.1117/12.2083892
Published in SPIE Proceedings Vol. 9396:
Image Quality and System Performance XII
Mohamed-Chaker Larabi; Sophie Triantaphillidou, Editor(s)
PDF: 14 pages
Proc. SPIE 9396, Image Quality and System Performance XII, 93960Z (8 February 2015); doi: 10.1117/12.2083892
Show Author Affiliations
Yan Tu, Southeast Univ. (China)
Wenjuan Niu, Southeast Univ. (China)
Wenjuan Niu, Southeast Univ. (China)
Published in SPIE Proceedings Vol. 9396:
Image Quality and System Performance XII
Mohamed-Chaker Larabi; Sophie Triantaphillidou, Editor(s)
© SPIE. Terms of Use
