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ABSTRACT
Building a Reduced Reference Video Quality Metric with Very Low Overhead Using Multivariate Data Analysis
In this contribution a reduced reference video quality
metric for AVC/H.264 is proposed that needs only a very low
overhead (not more than two bytes per sequence). This reduced
reference metric uses well established algorithms to measure objective
features of the video such as ’blur’ or ’blocking’. Those
measurements are then combined into a single measurement for
the overall video quality. The weights of the single features and the
combination of those are determined using methods provided by
multivariate data analysis. The proposed metric is verified using
a data set of AVC/H.264 encoded videos and the corresponding
results of a carefully designed and conducted subjective evaluation.
Results show that the proposed reduced reference metric not only
outperforms standard PSNR but also two well known full reference
metrics.
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