ICIP 2006, Atlanta, GA
 

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Paper:WA-L1.7
Session:Error Resiliance and Concealment
Time:Wednesday, October 11, 12:00 - 12:20
Presentation: Lecture
Topic: Image & Video Communications: Error resilience / concealment
Title: PREDICTING H.264 PACKET LOSS VISIBILITY USING A GENERALIZED LINEAR MODEL
Authors: Sandeep Kanumuri; University of California, San Diego 
 Sitaraman Subramanian; University of California, San Diego 
 Pamela C. Cosman; University of California, San Diego 
 Amy Reibman; AT&T Labs - Research 
Abstract: 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.