Title :
Predicting H.264 Packet Loss Visibility using a Generalized Linear Model
Author :
Kanumuri, S. ; Subramanian, S.G. ; Cosman, P.C. ; Reibman, Amy R.
Author_Institution :
California Univ., San Diego, CA, USA
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.
Keywords :
mean square error methods; probability; video coding; H.264 video; MSE; generalized linear model; mean square error; multiple packet losses; probability; Decoding; Degradation; Error correction codes; Monitoring; Performance loss; Predictive models; Propagation losses; Testing; Video codecs; Video compression; Quality Control; Video codecs;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312809