Long-Range Prediction for Real.-Time MPEG Video Traffic: An H∞ Filter Approach

被引：2

作者：

Wang, Chih-Hu ^{[1
,2
,3
]}

Chen, Bor-Sen ^{[4
]}

Lee, Bore-Kuen ^{[2
,3
]}

Lee, Tsu-Tian ^{[5
]}

Liu, Chien-Nan Jimmy ^{[1
]}

Su, Chauchin ^{[5
]}

机构：

[1] Natl Cent Univ, Dept Elect Engn, Chungli, Taiwan

[2] Chung Hua Univ, Dept Commun Engn, Hsinchu 300, Taiwan

[3] Chung Hua Univ, Dept Elect Engn, Hsinchu 300, Taiwan

[4] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 300, Taiwan

[5] Natl Chiao Tung Univ, Dept Elect & Control Engn, Hsinchu 300, Taiwan

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 2008年 / 18卷 / 12期

关键词：

H-infinity filter; long-range dependence; MPEG video; state-space method;

D O I：

10.1109/TCSVT.2008.2004926

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel prediction scheme is proposed for real-time MPEG video to predict the burst and long-range dependent traffic. The trend and periodic characteristics of MPEG video traffic are fully captured by a proposed stochastic state-space dynamic model. Then a recursive H. filtering algorithm is proposed to estimate traffic for long-range prediction. Simulation results based on real MPEG traffic data show that the proposed scheme has superior performance and lower complexity than some adaptive neural network methods, such as TDNN, NARX, and Elman neural networks.

引用

页码：1771 / 1775

页数：5

共 50 条

[41] Characterization, adaptive traffic shaping and multiplexing of real-time MPEG-II video
Agrawal, SK
Barry, CF
Bannai, V
Kazovsky, L
VIDEO TECHNIQUES AND SOFTWARE FOR FULL-SERVICE NETWORKS, 1997, 2915 : 51 - 63
[42] D-PuP: AN ENHANCED PREDICTION ALGORITHM FOR REAL-TIME MPEG-4 VBR VIDEO TRAFFIC WITH DYNAMIC ADAPTATION
Lee, Kang Yong
Kim, Moonseong
Cho, Kee-Seong
2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4, 2008, : 405 - +
[43] A new approach to cell loss analysis for long-range dependent network traffic
Nguyen, CT
Sugawara, S
Miki, T
IEICE TRANSACTIONS ON COMMUNICATIONS, 2005, E88B (09) : 3668 - 3681
[44] Real-time long-range road estimation in unknown environments
Yuan, Jenny
Lu, Gary
Friedrich, Philipp
Xu, Yixin
2020 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2020, : 83 - 88
[45] Derivations of error bound on recording traffic time series with long-range dependence
Li, M
ADVANCES IN INTELLIGENT COMPUTING, PT 1, PROCEEDINGS, 2005, 3644 : 360 - 369
[46] Distilling the Long-Range Knowledge for Real-Time Semantic Segmentation
Wang, Yunnan
Cai, Meng
Li, Jianxun
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 8527 - 8532
[47] A better understanding of long-range temporal dependence of traffic flow time series
Feng, Shuo
Wang, Xingmin
Sun, Haowei
Zhang, Yi
Li, Li
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 492 : 639 - 650
[48] Long-range wind monitoring in real time with optimized coherent lidar
Dolfi-Bouteyre, Agnes
Canat, Guillaume
Lombard, Laurent
Valla, Matthieu
Durecu, Anne
Besson, Claudine
OPTICAL ENGINEERING, 2017, 56 (03)
[49] Time scale analysis of an ATM queueing system with long-range dependent traffic
Mayor, G
Silvester, J
IEEE INFOCOM '97 - THE CONFERENCE ON COMPUTER COMMUNICATIONS, PROCEEDINGS, VOLS 1-3: SIXTEENTH ANNUAL JOINT CONFERENCE OF THE IEEE COMPUTER AND COMMUNICATIONS SOCIETIES - DRIVING THE INFORMATION REVOLUTION, 1997, : 205 - 212
[50] Long-range prediction of the shipping season in Hudson Bay: A statistical approach
Tivy, Adrienne
Alt, Bea
Howell, Stephen
Wilson, Katherine
Yackel, John
WEATHER AND FORECASTING, 2007, 22 (05) : 1063 - 1075

← 1 2 3 4 5 →