DocumentCode
696662
Title
Adaptive trained neural networks for traffic prediction of VBR MPEG-2 video sources
Author
Doulamis, Nikolaos D. ; Doulamis, Anastasios D. ; Kollias, Stefanos D.
Author_Institution
National Technical University of Athens, Dept. of Electrical and Computer Engineering, 9, Heroon Polytechniou str., Athens, Greece
fYear
2000
fDate
4-8 Sept. 2000
Firstpage
1
Lastpage
4
Abstract
In this paper, a novel adaptively trained neural network structure is proposed for traffic rate prediction in MPEG-2 video sequences. The algorithm automatically adapts the network weights in case of highly rate changes taking into account both the current and the previous traffic samples. Application of the proposed scheme to real life sequences has shown a superior performance compared to other traditional methods.
Keywords
Adaptive systems; Bit rate; Neural networks; Predictive models; Streaming media; Training; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2000 10th European
Conference_Location
Tampere, Finland
Print_ISBN
978-952-1504-43-3
Type
conf
Filename
7075283
Link To Document