Paper Info
Title
D-PuP: An enhanced prediction algorithm for real-time MPEG-4 VBR video traffic with dynamic adaptation
Abstract
In previous work [1], we proposed a real-time MPEG-4 VBR video traffic prediction algorithm that calculates the probability density function (PDF) based on the last N frames, rWin, by using Cubic-spline interpolation method, and then utilize it for the prediction of next frame. We fixed the size of rWin as five in the algorithm. Although the algorithm is capable of providing more accurate prediction than those in the research literature, it still has weakness on the adapting the traffic dynamics due to the fixed size of rWin. In this paper, we first study the experimental investigation about the number of rWin, and propose an enhanced traffic prediction algorithm with dynamic rWin.
Year
DOI
Venue
2008
10.1109/ICME.2008.4607457
ICME
Keywords
Field
DocType
cubic-spline interpolation method,mpeg video,vbr,interpolation,variable bit rate,probability density function,traffic prediction,real-time mpeg-4 vbr video traffic,variable rate codes,video coding,d-pup enhanced prediction algorithm,telecommunication traffic,splines (mathematics),real-time systems,probability,dynamic adaptation,transform coding,artificial neural networks,prediction algorithms,real time,real time systems,silicon,cubic spline
Computer science,Interpolation,Algorithm,Transform coding,Real-time computing,Vbr video,Traffic prediction,Artificial neural network,MPEG-4,Probability density function,Variable bitrate
Conference
ISBN
Citations 
PageRank 
978-1-4244-2571-6
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Kang Yong Lee1505.94
Moonseong Kim214339.75
Kee-Seong Cho3357.74