A Generalized Linear Model for MPEG-2 Packet-Loss Visibility

In this paper, we focus on predicting the visibility of packet losses in MPEG-2 compressed video streams. We develop a generalized linear model (GLM) to predict the probability that a packet loss will be visible to an average viewer. The GLM input consists of parameters that can be easily extracted from the video near the location of the loss, and outputs an estimate of the probability that that loss is visible. We also show how our GLM can be used to classify each loss as visible or invisible. Using this method, we are able to achieve a high classification accuracy.

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