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A Correlation-Based No-Reference Packet-Loss Metric
video quality metricsartifactsquality assessmentNR quality metricspacket-loss
Resumo
In the last few years, there has been a growing
interest in automatic methods (metrics) that blindly estimate the
quality of digital videos, specially in applications where the videos
are digitally transmitted over wired or wireless channels and the
original (reference) video signal is not available at the receiver.
Currently, there are few methods that are able to identify and
estimate the strength of temporal artifacts (e.g. packet-loss and
jerkiness) introduced during a digital transmission. In this paper,
we present a blind (no-reference) video quality assessment metric
that estimates the impact of packet-loss artifacts on quality. The
proposed algorithm performs a comparison of inter and intrablock
correlations, considering blocks of sizes 88, 1616, and
3232. The proposed metric was tested on a database containing
videos with packet-loss artifacts with different strengths and
time durations. Results show that the proposed metric is able to
estimate the impact that packet-loss artifacts have on the overall
perceived quality, outperforming several metrics available in the
literature.