1. An Adaptive Predictor for Media Playout Buffering Phillip DeLeon New Mexico State University Cormac J. Sreenan AT&T Labs ICASSP 99’

2. Playout Problem

3. Approach Using Autoregressive Average of Network Delay (Reactive Algorithm) In talk-spurt:

4. Other Approaches Using statistical representation of network delays observed during the stream lifetime. Monitoring variations in receiver buffer length to determining playout delay.

5. Concept of This Approach The use of an accurate prediction as opposed to an autoregressive average will adjust the buffer delay more effectively.

6. Normalized Least-mean-square (NLMS) Adaptive Predictor

7. Normalized Least-mean-square (NLMS) Adaptive Predictor (continued) 1*N vector of adaptive filter coefficients. step-size 1*N vector of the most recent N netwprk delays. estimation error. network delay estimate for packet i.

8. End to End Delay Estimation

9. Comparing Reactive and NLMS Algorithms

10. Experimental Results

11. Conclusion Compared to conventional reactive technique which use an autoregressive average of the network delay, this predictive technique in general can produce lower average total end- to-end delays.