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Predicting H.264 Packet Loss Visibility using a Generalized Linear Model

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4 Author(s)
Kanumuri, S. ; California Univ., San Diego, CA, USA ; Subramanian, S.G. ; Cosman, P.C. ; Reibman, A.R.

We consider modeling the visibility of individual and multiple packet losses in H.264 videos. We propose a model for predicting the visibility of multiple packet losses and demonstrate its performance on dual losses (two nearby packet losses). We extract the factors affecting visibility using a reduced-reference method. We predict the probability that a loss is visible using a generalized linear model. We achieve MSE values (between actual and predicted probabilities) of 0.0253 and 0.0398 for individual and dual losses respectively. We also examine the effect of various factors on visibility.

Published in:

Image Processing, 2006 IEEE International Conference on

Date of Conference:

8-11 Oct. 2006

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