Intelligent prediction and smoothing of video flow for multimedia communication

Author

Ling, Ge ; Xinyu, Wu

Author_Institution

Nanjing Univ. of Posts & Telecommun., China

fYear

1998

fDate

22-24 Oct 1998

Firstpage

539

Abstract

A principal challenge in supporting real-time video services over ATM is the need to provide synchronous playout in the face of stochastic end-to-end networks delays. An intelligent traffic smoothing mechanism (ITSM) is proposed to meet the continuity requirement which is composed of a backpropagation neural network (BPNN) traffic predictor, a playout buffer, and a fuzzy neural network (FNN) based playout rate determinator. Simulation results show that ITSM achieves high continuity with accepted delay

Keywords

asynchronous transfer mode; backpropagation; buffer storage; delays; fuzzy neural nets; knowledge based systems; multimedia communication; smoothing methods; stochastic processes; telecommunication computing; telecommunication traffic; video signal processing; B-ISDN; BPNN; FNN; backpropagation neural network; continuity requirement; fuzzy neural network; intelligent prediction; intelligent traffic smoothing mechanism; multimedia communication; playout buffer; playout rate determinator; real-time video services; simulation results; stochastic end-to-end networks delays; synchronous playout; traffic predictor; video flow smoothing; Asynchronous transfer mode; Backpropagation; Delay; Fuzzy neural networks; Intelligent networks; Multimedia communication; Neural networks; Telecommunication traffic; Throughput; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on

Conference_Location

Beijing

Print_ISBN

7-80090-827-5

Type

conf

DOI

10.1109/ICCT.1998.743341

Filename

743341