Analysis of packet loss for compressed video: does burst-length matter?
Y. Liang, J.G. Apostolopoulos, Bernd Girod
Abstract
Y. Liang, J.G. Apostolopoulos, Bernd Girod
Abstract
Video communication is often afflicted by various forms of losses, such as packet loss over the Internet. The paper examines the question of whether the packet loss pattern, and in particular the burst length, is important for accurately estimating the expected mean-squared error distortion. Specifically, we (1) verify that the loss pattern does have a significant effect on the resulting distortion, (2) explain why a loss pattern, for example a burst loss, generally produces a larger distortion than an equal number of isolated losses, and (3) propose a model that accurately estimates the expected distortion by explicitly accounting for the loss pattern, inter-frame error propagation, and the correlation between error frames. The accuracy of the proposed model is validated with JVT/H.26L coded video and previous frame concealment, where for most sequences the total distortion is predicted to within /spl plusmn/0.3 dB for burst loss of length two packets, as compared to prior models which underestimate the distortion by about 1.5 dB. Furthermore, as the burst length increases, our prediction is within /spl plusmn/0.7 dB, while prior models degrade and underestimate the distortion by over 3 dB.
OpenAlex reports 179 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Video communication is often afflicted by various forms of losses, such as packet loss over the Internet. The paper examines the question of whether the packet loss pattern, and in particular the burst length, is important for accurately estimating the expected mean-squared error distortion. Specifically, we (1) verify that the loss pattern does have a significant effect on the resulting distortion, (2) explain why a loss pattern, for example a burst loss, generally produces a larger distortion than an equal number of isolated losses, and (3) propose a model that accurately estimates the expected distortion by explicitly accounting for the loss pattern, inter-frame error propagation, and the correlation between error frames. The accuracy of the proposed model is validated with JVT/H.26L coded video and previous frame concealment, where for most sequences the total distortion is predicted to within /spl plusmn/0.3 dB for burst loss of length two packets, as compared to prior models which underestimate the distortion by about 1.5 dB. Furthermore, as the burst length increases, our prediction is within /spl plusmn/0.7 dB, while prior models degrade and underestimate the distortion by over 3 dB.
Key concepts: Computer science, Packet loss, Network packet, Computer network